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Chi Liu, PhD

Professor of Radiology and Biomedical Imaging

Research & Publications
Biography
News

Extensive Research Description

Machine learning and deep learning in imaging applications

Radiation dose reduction methods in PET/SPECT/CT

Motion correction methods for PET/CT and SPECT/CT

Coauthors

Selected Publications

Unified Noise-Aware Network for Low-Count PET Denoising With Varying Count LevelsXie H, Liu Q, Zhou B, Chen X, Guo X, Wang H, Li B, Rominger A, Shi K, Liu C. Unified Noise-Aware Network for Low-Count PET Denoising With Varying Count Levels. IEEE Transactions On Radiation And Plasma Medical Sciences 2023, PP: 1-1. DOI: 10.1109/trpms.2023.3334105.
Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECTChen X, Zhou B, Xie H, Guo X, Liu Q, Sinusas A, Liu C. Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT. 2023, 14307: 49-59. DOI: 10.1007/978-3-031-44917-8_5.
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion CorrectionGuo X, Shi L, Chen X, Zhou B, Liu Q, Xie H, Liu Y, Palyo R, Miller E, Sinusas A, Spottiswoode B, Liu C, Dvornek N. TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction. 2023, 14288: 64-74. PMID: 38464964, PMCID: PMC10923183, DOI: 10.1007/978-3-031-44689-4_7.
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoisingZhou B, Xie H, Liu Q, Chen X, Guo X, Feng Z, Hou J, Zhou S, Li B, Rominger A, Shi K, Duncan J, Liu C. FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. Medical Image Analysis 2023, 90: 102993. PMID: 37827110, PMCID: PMC10611438, DOI: 10.1016/j.media.2023.102993.
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image ReconstructionsXie H, Zhou B, Chen X, Guo X, Thorn S, Liu Y, Wang G, Sinusas A, Liu C. Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions. 2023, 14229: 163-172. DOI: 10.1007/978-3-031-43999-5_16.
99mTc/123I Dual-Radionuclide Correction for Self-Scatter, Down-Scatter, and Tailing Effect for a CZT SPECT With Varying Tracer DistributionsVelo A, Fan P, Xie H, Chen X, Boutagy N, Feher A, Sinusas A, Ljungberg M, Liu C. 99mTc/123I Dual-Radionuclide Correction for Self-Scatter, Down-Scatter, and Tailing Effect for a CZT SPECT With Varying Tracer Distributions. IEEE Transactions On Radiation And Plasma Medical Sciences 2023, 7: 839-850. DOI: 10.1109/trpms.2023.3297443.
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion CorrectionGuo X, Zhou B, Chen X, Chen M, Liu C, Dvornek N. MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction. IEEE Transactions On Medical Imaging 2023, 42: 3512-3523. PMID: 37368811, PMCID: PMC10751388, DOI: 10.1109/tmi.2023.3290003.
Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PETZhou B, Tsai Y, Zhang J, Guo X, Xie H, Chen X, Miao T, Lu Y, Duncan J, Liu C. Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET. 2023, 13939: 523-535. DOI: 10.1007/978-3-031-34048-2_40.
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CTChen X, Zhou B, Xie H, Guo X, Zhang J, Duncan J, Miller E, Sinusas A, Onofrey J, Liu C. DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Analysis 2023, 88: 102840. PMID: 37216735, PMCID: PMC10524650, DOI: 10.1016/j.media.2023.102840.
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic NetworkXie H, Liu Z, Shi L, Greco K, Chen X, Zhou B, Feher A, Stendahl J, Boutagy N, Kyriakides T, Wang G, Sinusas A, Liu C. Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network. IEEE Transactions On Medical Imaging 2023, 42: 1325-1336. PMID: 36459599, PMCID: PMC10204821, DOI: 10.1109/tmi.2022.3226604.
Direct respiratory motion correction of whole-body PET images using a deep learning framework incorporating spatial informationMiao T, Tsai Y, Zhou B, Menard D, Schleyer P, Hong I, Casey M, Liu C. Direct respiratory motion correction of whole-body PET images using a deep learning framework incorporating spatial information. Progress In Biomedical Optics And Imaging 2023, 12463: 124633x-124633x-9. DOI: 10.1117/12.2654472.
Generation of Whole-Body FDG Parametric Ki Images From Static PET Images Using Deep LearningMiao T, Zhou B, Liu J, Guo X, Liu Q, Xie H, Chen X, Chen M, Wu J, Carson R, Liu C. Generation of Whole-Body FDG Parametric Ki Images From Static PET Images Using Deep Learning. IEEE Transactions On Radiation And Plasma Medical Sciences 2023, 7: 465-472. PMID: 37997577, PMCID: PMC10665031, DOI: 10.1109/trpms.2023.3243576.
Joint motion estimation and penalized image reconstruction algorithm with anatomical priors for gated TOF-PET/CTTsai Y, Liu C. Joint motion estimation and penalized image reconstruction algorithm with anatomical priors for gated TOF-PET/CT. Physics In Medicine And Biology 2023, 68: 025020. PMID: 36549009, DOI: 10.1088/1361-6560/acae19.
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI ReconstructionZhou B, Dey N, Schlemper J, Salehi S, Liu C, Duncan J, Sofka M. DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. 2023, 00: 4955-4964. DOI: 10.1109/wacv56688.2023.00494.
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy EcosystemSaboury B, Bradshaw T, Boellaard R, Buvat I, Dutta J, Hatt M, Jha A, Li Q, Liu C, McMeekin H, Morris M, Scott P, Siegel E, Sunderland J, Pandit-Taskar N, Wahl R, Zuehlsdorff S, Rahmim A. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. Journal Of Nuclear Medicine 2022, 64: jnumed.121.263703. PMID: 36522184, PMCID: PMC9902852, DOI: 10.2967/jnumed.121.263703.
Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric ImagingGuo X, Wu J, Chen M, Liu Q, Onofrey J, Pucar D, Pang Y, Pigg D, Casey M, Dvornek N, Liu C. Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging. IEEE Transactions On Radiation And Plasma Medical Sciences 2022, 7: 344-353. PMID: 37842204, PMCID: PMC10569406, DOI: 10.1109/trpms.2022.3227576.
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT ReconstructionZhou B, Chen X, Xie H, Zhou S, Duncan JS, Liu C. DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. IEEE Transactions On Medical Imaging 2022, 41: 3587-3599. PMID: 35816532, PMCID: PMC9812027, DOI: 10.1109/tmi.2022.3189759.
Quantification of intramyocardial blood volume using 99mTc-RBC SPECT/CT: a pilot human studyYousefi H, Shi L, Soufer A, Tsatkin V, Bruni W, Avendano R, Greco K, McMahon D, Thorn S, Miller E, Sinusas A, Liu C. Quantification of intramyocardial blood volume using 99mTc-RBC SPECT/CT: a pilot human study. Journal Of Nuclear Cardiology 2022, 30: 292-297. PMID: 36319815, DOI: 10.1007/s12350-022-03123-0.
DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECTChen X, Zhou B, Xie H, Miao T, Liu H, Holler W, Lin M, Miller EJ, Carson RE, Sinusas AJ, Liu C. DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT. Medical Physics 2022, 50: 89-103. PMID: 36048541, PMCID: PMC9868054, DOI: 10.1002/mp.15958.
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTChen X, Zhou B, Xie H, Guo X, Zhang J, Sinusas A, Onofrey J, Liu C. Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT. 2022, 13436: 46-55. DOI: 10.1007/978-3-031-16446-0_5.
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PETGuo X, Zhou B, Chen X, Liu C, Dvornek N. MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. 2022, 13434: 163-172. PMID: 38464686, PMCID: PMC10923180, DOI: 10.1007/978-3-031-16440-8_16.
Virtual high‐count PET image generation using a deep learning methodLiu J, Ren S, Wang R, Mirian N, Tsai Y, Kulon M, Pucar D, Chen M, Liu C. Virtual high‐count PET image generation using a deep learning method. Medical Physics 2022, 49: 5830-5840. PMID: 35880541, PMCID: PMC9474624, DOI: 10.1002/mp.15867.
Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous DataZhou B, Miao T, Mirian N, Chen X, Xie H, Feng Z, Guo X, Li X, Zhou S, Duncan J, Liu C. Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data. IEEE Transactions On Radiation And Plasma Medical Sciences 2022, 7: 284-295. PMID: 37789946, PMCID: PMC10544830, DOI: 10.1109/trpms.2022.3194408.
Hot Spot Imaging in Cardiovascular Diseases: An Information Statement from SNMMI, ASNC, and EANMSperry BW, Bateman TM, Akin EA, Bravo PE, Chen W, Dilsizian V, Hyafil F, Khor YM, Miller RJH, Slart RHJA, Slomka P, Verberne H, Miller EJ, Liu C. Hot Spot Imaging in Cardiovascular Diseases: An Information Statement from SNMMI, ASNC, and EANM. Journal Of Nuclear Medicine 2022, 63: 1722-1740. PMID: 35863895, DOI: 10.2967/jnumed.122.264311.
A personalized deep learning denoising strategy for low-count PET imagesLiu Q, Liu H, Mirian N, Ren S, Viswanath V, Karp J, Surti S, Liu C. A personalized deep learning denoising strategy for low-count PET images. Physics In Medicine And Biology 2022, 67: 145014. PMID: 35697017, PMCID: PMC9321225, DOI: 10.1088/1361-6560/ac783d.
Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using TransformerXie H, Thorn S, Liu Y, Lee S, Liu Z, Wang G, Sinusas A, Liu C. Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using Transformer. IEEE Transactions On Radiation And Plasma Medical Sciences 2022, 7: 33-40. PMID: 37397179, PMCID: PMC10312390, DOI: 10.1109/trpms.2022.3187595.
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural networkGuo X, Zhou B, Pigg D, Spottiswoode B, Casey ME, Liu C, Dvornek NC. Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network. Medical Image Analysis 2022, 80: 102524. PMID: 35797734, PMCID: PMC10923189, DOI: 10.1016/j.media.2022.102524.
Deep-learning-based methods of attenuation correction for SPECT and PETChen X, Liu C. Deep-learning-based methods of attenuation correction for SPECT and PET. Journal Of Nuclear Cardiology 2022, 30: 1859-1878. PMID: 35680755, DOI: 10.1007/s12350-022-03007-3.
Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstructionXie H, Thorn S, Chen X, Zhou B, Liu H, Liu Z, Lee S, Wang G, Liu YH, Sinusas AJ, Liu C. Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction. Journal Of Nuclear Cardiology 2022, 30: 86-100. PMID: 35508796, DOI: 10.1007/s12350-022-02972-z.
Cross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECTChen X, Pretorius P, Zhou B, Liu H, Johnson K, Liu YH, King MA, Liu C. Cross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECT. Journal Of Nuclear Cardiology 2022, 29: 3379-3391. PMID: 35474443, DOI: 10.1007/s12350-022-02978-7.
Dual-domain Self-supervised Learning for Accelerated MRI ReconstructionZhou B, Schlemper J, Salehi S, Dey N, Sheth K, Liu C, Duncan J, Sofka M. Dual-domain Self-supervised Learning for Accelerated MRI Reconstruction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2022 DOI: 10.58530/2022/3474.
Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECTChen X, Zhou B, Xie H, Shi L, Liu H, Holler W, Lin M, Liu YH, Miller EJ, Sinusas AJ, Liu C. Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 3046-3060. PMID: 35169887, PMCID: PMC9253078, DOI: 10.1007/s00259-022-05718-8.
PET respiratory motion correction: quo vadis?Lamare F, Bousse A, Thielemans K, Liu C, Merlin T, Fayad H, Visvikis D. PET respiratory motion correction: quo vadis? Physics In Medicine And Biology 2022, 67: 03tr02. PMID: 34915465, DOI: 10.1088/1361-6560/ac43fc.
PET Image Denoising Using a Deep-Learning Method for Extremely Obese PatientsLiu H, Yousefi H, Mirian N, Lin M, Menard D, Gregory M, Aboian M, Boustani A, Chen M, Saperstein L, Pucar D, Kulon M, Liu C. PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients. IEEE Transactions On Radiation And Plasma Medical Sciences 2021, 6: 766-770. PMID: 37284026, PMCID: PMC10241407, DOI: 10.1109/trpms.2021.3131999.
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep LearningShi L, Lu Y, Dvornek N, Weyman CA, Miller EJ, Sinusas AJ, Liu C. Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. IEEE Transactions On Medical Imaging 2021, 40: 3293-3304. PMID: 34018932, PMCID: PMC8670362, DOI: 10.1109/tmi.2021.3082578.
Abstract 13133: Heterogeneous Uptake of [99mTc]microspheres and 201Tl in Skeletal Muscles in Porcine Model of Hindlimb IschemiaLee S, de Rubio Cruz P, Thorn S, Liu Z, hawley C, Mamarian M, Turlejski T, Meng L, Liu C, Sinusas A. Abstract 13133: Heterogeneous Uptake of [99mTc]microspheres and 201Tl in Skeletal Muscles in Porcine Model of Hindlimb Ischemia. Circulation 2021, 144: a13133-a13133. DOI: 10.1161/circ.144.suppl_1.13133.
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm DevelopmentBradshaw TJ, Boellaard R, Dutta J, Jha AK, Jacobs P, Li Q, Liu C, Sitek A, Saboury B, Scott PJH, Slomka PJ, Sunderland JJ, Wahl RL, Yousefirizi F, Zuehlsdorff S, Rahmim A, Buvat I. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. Journal Of Nuclear Medicine 2021, 63: 500-510. PMID: 34740952, PMCID: PMC10949110, DOI: 10.2967/jnumed.121.262567.
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomographyZhou B, Chen X, Zhou SK, Duncan JS, Liu C. DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. Medical Image Analysis 2021, 75: 102289. PMID: 34758443, PMCID: PMC8678361, DOI: 10.1016/j.media.2021.102289.
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PETZhou B, Tsai YJ, Chen X, Duncan JS, Liu C. MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET. IEEE Transactions On Medical Imaging 2021, 40: 3154-3164. PMID: 33909561, PMCID: PMC8588635, DOI: 10.1109/tmi.2021.3076191.
Super-resolution PET Brain Imaging using Deep LearningRen S, Liu J, Xie H, Toyonaga T, Mirian N, Chen M, Aboian M, Carson R, Liu C. Super-resolution PET Brain Imaging using Deep Learning. 2021, 00: 1-6. DOI: 10.1109/nss/mic44867.2021.9875548.
Investigation of Direct and Indirect Approaches of Deep-Learning-Based Attenuation Correction for General Purpose and Dedicated Cardiac SPECT ScannersChen X, Zhou B, Xie H, Shi L, Liu H, Liu C. Investigation of Direct and Indirect Approaches of Deep-Learning-Based Attenuation Correction for General Purpose and Dedicated Cardiac SPECT Scanners. 2021, 00: 1-2. DOI: 10.1109/nss/mic44867.2021.9875517.
Attenuation Map Generation with Cross-Vendor and Cross-Tracer Transfer Learning for Cardiac SPECTChen X, Pretorius P, Zhou B, Liu H, Johnson K, King M, Liu C. Attenuation Map Generation with Cross-Vendor and Cross-Tracer Transfer Learning for Cardiac SPECT. 2021, 00: 1-2. DOI: 10.1109/nss/mic44867.2021.9875867.
Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generationLiu H, Wu J, Shi L, Liu Y, Miller E, Sinusas A, Liu YH, Liu C. Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation. Journal Of Nuclear Cardiology 2021, 29: 2881-2892. PMID: 34671940, DOI: 10.1007/s12350-021-02817-1.
Artificial Intelligence-Based Image Enhancement in PET Imaging Noise Reduction and Resolution EnhancementLiu J, Malekzadeh M, Mirian N, Song TA, Liu C, Dutta J. Artificial Intelligence-Based Image Enhancement in PET Imaging Noise Reduction and Resolution Enhancement. PET Clinics 2021, 16: 553-576. PMID: 34537130, PMCID: PMC8457531, DOI: 10.1016/j.cpet.2021.06.005.
Synthesizing Multi-tracer PET Images for Alzheimer’s Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial NetworkZhou B, Wang R, Chen M, Mecca A, O’Dell R, Van Dyck C, Carson R, Duncan J, Liu C. Synthesizing Multi-tracer PET Images for Alzheimer’s Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network. 2021, 12906: 34-43. DOI: 10.1007/978-3-030-87231-1_4.
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-TruthZhou B, Liu C, Duncan J. Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. 2021, 12901: 47-56. DOI: 10.1007/978-3-030-87193-2_5.
Generation of parametric Ki images for FDG PET using two 5‐min scansWu J, Liu H, Ye Q, Gallezot J, Naganawa M, Miao T, Lu Y, Chen M, Esserman DA, Kyriakides TC, Carson RE, Liu C. Generation of parametric Ki images for FDG PET using two 5‐min scans. Medical Physics 2021, 48: 5219-5231. PMID: 34287939, DOI: 10.1002/mp.15113.
Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learningWang R, Liu H, Toyonaga T, Shi L, Wu J, Onofrey JA, Tsai Y, Naganawa M, Ma T, Liu Y, Chen M, Mecca AP, O’Dell R, van Dyck C, Carson RE, Liu C. Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning. Medical Physics 2021, 48: 5115-5129. PMID: 34224153, PMCID: PMC8455448, DOI: 10.1002/mp.15073.
Pitfalls on PET/CT Due to Artifacts and InstrumentationTsai YJ, Liu C. Pitfalls on PET/CT Due to Artifacts and Instrumentation. Seminars In Nuclear Medicine 2021, 51: 646-656. PMID: 34243906, PMCID: PMC8490278, DOI: 10.1053/j.semnuclmed.2021.06.015.
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity LayerZhou B, Zhou S, Duncan JS, Liu C. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. IEEE Transactions On Medical Imaging 2021, 40: 1792-1804. PMID: 33729929, PMCID: PMC8325575, DOI: 10.1109/tmi.2021.3066318.
CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense networkChen X, Zhou B, Shi L, Liu H, Pang Y, Wang R, Miller EJ, Sinusas AJ, Liu C. CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network. Journal Of Nuclear Cardiology 2021, 29: 2235-2250. PMID: 34085168, DOI: 10.1007/s12350-021-02672-0.
Performance Evaluation of Amplitude and Phase Respiratory Gating Methods on Continuous-Bed-Motion Whole-Body PET StudiesTsai Y, Lu Y, Wu J, Liu H, Schleyer P, Casey M, Liu C. Performance Evaluation of Amplitude and Phase Respiratory Gating Methods on Continuous-Bed-Motion Whole-Body PET Studies. IEEE Transactions On Radiation And Plasma Medical Sciences 2021, 6: 415-420. DOI: 10.1109/trpms.2021.3075383.
Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility StudyYang J, Shi L, Wang R, Miller EJ, Sinusas AJ, Liu C, Gullberg GT, Seo Y. Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study. Journal Of Nuclear Medicine 2021, 62: 1645-1652. PMID: 33637586, PMCID: PMC8612332, DOI: 10.2967/jnumed.120.256396.
Multi-Tracer Positron Emission Tomography Quantification of Sympathetic Innervation Tracer Similarity But Not Equivalence ∗Sinusas AJ, Liu C. Multi-Tracer Positron Emission Tomography Quantification of Sympathetic Innervation Tracer Similarity But Not Equivalence ∗. JACC Cardiovascular Imaging 2020, 14: 1437-1439. PMID: 33221231, DOI: 10.1016/j.jcmg.2020.10.007.
Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency LearningZhou B, Tsai Y, Liu C. Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning. 2020, 12267: 743-752. DOI: 10.1007/978-3-030-59728-3_72.
Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PETLiu H, Wu J, Lu W, Onofrey JA, Liu YH, Liu C. Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET. Physics In Medicine And Biology 2020, 65: 185006. PMID: 32924973, DOI: 10.1088/1361-6560/abae08.
Feasibility study of PET dynamic imaging of [18F]DHMT for quantification of reactive oxygen species in the myocardium of large animalsWu J, Boutagy NE, Cai Z, Lin SF, Zheng MQ, Feher A, Stendahl JC, Kapinos M, Gallezot JD, Liu H, Mulnix T, Zhang W, Lindemann M, Teng JK, Miller EJ, Huang Y, Carson RE, Sinusas AJ, Liu C. Feasibility study of PET dynamic imaging of [18F]DHMT for quantification of reactive oxygen species in the myocardium of large animals. Journal Of Nuclear Cardiology 2020, 29: 216-225. PMID: 32415628, PMCID: PMC7666654, DOI: 10.1007/s12350-020-02184-3.
Deep learning-based attenuation map generation for myocardial perfusion SPECTShi L, Onofrey JA, Liu H, Liu YH, Liu C. Deep learning-based attenuation map generation for myocardial perfusion SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 47: 2383-2395. PMID: 32219492, DOI: 10.1007/s00259-020-04746-6.
Deep Learning based Respiratory Pattern Classification and Applications in PET/CT Motion CorrectionGuo Y, Dvornek N, Lu Y, Tsai Y, Hamill J, Casey M, Liu C. Deep Learning based Respiratory Pattern Classification and Applications in PET/CT Motion Correction. 2019, 00: 1-5. DOI: 10.1109/nss/mic42101.2019.9059783.
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep LearningShi L, Onofrey J, Revilla E, Toyonaga T, Menard D, Ankrah J, Carson R, Liu C, Lu Y. A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning. 2019, 11767: 723-731. DOI: 10.1007/978-3-030-32251-9_79.
An investigation of quantitative accuracy for deep learning based denoising in oncological PETLu W, Onofrey JA, Lu Y, Shi L, Ma T, Liu Y, Liu C. An investigation of quantitative accuracy for deep learning based denoising in oncological PET. Physics In Medicine And Biology 2019, 64: 165019. PMID: 31307019, DOI: 10.1088/1361-6560/ab3242.
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECTShi L, Lu Y, Wu J, Gallezot JD, Boutagy N, Thorn S, Sinusas AJ, Carson RE, Liu C. Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT. IEEE Transactions On Medical Imaging 2019, 39: 119-128. PMID: 31180845, PMCID: PMC7030971, DOI: 10.1109/tmi.2019.2921969.
P289SPECT camera head configuration, acquisition time, and resolution recovery processing impact image defect size quantificationStendahl J, Weyman C, Liu Y, Liu C, Miller E, Sinusas A. P289SPECT camera head configuration, acquisition time, and resolution recovery processing impact image defect size quantification. European Heart Journal - Cardiovascular Imaging 2019, 20: jez148.018. DOI: 10.1093/ehjci/jez148.018.
Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PETLu Y, Gallezot JD, Naganawa M, Ren S, Fontaine K, Wu J, Onofrey JA, Toyonaga T, Boutagy N, Mulnix T, Panin VY, Casey ME, Carson RE, Liu C. Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET. Physics In Medicine And Biology 2019, 64: 065002. PMID: 30695768, DOI: 10.1088/1361-6560/ab02c2.
Recent advances in cardiac SPECT instrumentation and imaging methodsWu J, Liu C. Recent advances in cardiac SPECT instrumentation and imaging methods. Physics In Medicine And Biology 2019, 64: 06tr01. PMID: 30726779, DOI: 10.1088/1361-6560/ab04de.
Patient motion correction for dynamic cardiac PET: Current status and challengesLu Y, Liu C. Patient motion correction for dynamic cardiac PET: Current status and challenges. Journal Of Nuclear Cardiology 2018, 27: 1999-2002. PMID: 30421380, DOI: 10.1007/s12350-018-01513-x.
Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected doseYe Q, Wu J, Lu Y, Naganawa M, Gallezot JD, Ma T, Liu Y, Tanoue L, Detterbeck F, Blasberg J, Chen MK, Casey M, Carson RE, Liu C. Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose. Physics In Medicine And Biology 2018, 63: 175015. PMID: 30095083, PMCID: PMC6158045, DOI: 10.1088/1361-6560/aad97f.
SUV QUANTIFICATION OF 99MTC-PYP IMAGING IN TTR-CARDIAC AMYLOIDOSIS USING A CZT CAMERA: A NEW TOOL IN THE ARMAMENTARIUMSikanderkhel S, Liu Y, Liu C, Miller E. SUV QUANTIFICATION OF 99MTC-PYP IMAGING IN TTR-CARDIAC AMYLOIDOSIS USING A CZT CAMERA: A NEW TOOL IN THE ARMAMENTARIUM. Journal Of The American College Of Cardiology 2018, 71: a1689. DOI: 10.1016/s0735-1097(18)32230-7.
Simplified Quantification and Acquisition Protocol for 123I-MIBG Dynamic SPECTWu J, Gallezot JD, Lu Y, Ye Q, Liu H, Esserman DA, Kyriakides TC, Thorn S, Zonouz TH, Liu YH, Lampert R, Sinusas AJ, Carson RE, Liu C. Simplified Quantification and Acquisition Protocol for 123I-MIBG Dynamic SPECT. Journal Of Nuclear Medicine 2018, 59: 1574-1580. PMID: 29476001, DOI: 10.2967/jnumed.117.202143.
Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET DataLu Y, Fontaine K, Mulnix T, Onofrey JA, Ren S, Panin V, Jones J, Casey ME, Barnett R, Kench P, Fulton R, Carson RE, Liu C. Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data. Journal Of Nuclear Medicine 2018, 59: 1480-1486. PMID: 29439015, PMCID: PMC6126443, DOI: 10.2967/jnumed.117.203000.
Investigation of Sub-Centimeter Lung Nodule Quantification for Low-Dose PETLu Y, Fontaine K, Germino M, Mulnix T, Casey M, Carson R, and Liu C. Investigation of Sub-Centimeter Lung Nodule Quantification for Low-Dose PET. IEEE Transactions on Radiation and Plasma Medical Sciences, Vol. 2, No. 1, January 2018, p 41-50.
Investigation of Sub-Centimeter Lung Nodule Quantification for Low-Dose PETLu Y, Fontaine K, Germino M, Mulnix T, Casey M, Carson R, Liu C. Investigation of Sub-Centimeter Lung Nodule Quantification for Low-Dose PET. IEEE Transactions On Radiation And Plasma Medical Sciences 2017, 2: 41-50. DOI: 10.1109/trpms.2017.2778008.
Quantitative cardiac SPECT/CTLiu C, Pretorius P, Gullberg G. Quantitative cardiac SPECT/CT. 2017, 319-350. DOI: 10.1201/9781315374031-14.
Strategies to Improve Direct EM Patlak ReconstructionsGallezot J, Lu Y, Fontaine K, Liu C, Carson R. Strategies to Improve Direct EM Patlak Reconstructions. 2017, 00: 1-5. DOI: 10.1109/nssmic.2017.8532674.
Accounting for Breathing Pattern Variability in Event-by-Event Respiratory Motion Correction in PET Using Dynamic Internal-External Motion CorrelationLu Y, Fontaine K, Gallezot J, Ren S, Mulnix T, Liu C, Carson R. Accounting for Breathing Pattern Variability in Event-by-Event Respiratory Motion Correction in PET Using Dynamic Internal-External Motion Correlation. 2017, 00: 1-4. DOI: 10.1109/nssmic.2017.8532630.
GPU-based List-mode Direct Parametric Reconstruction for Dynamic Cardiac SPECTShi L, Wu J, Lu Y, Gallezot J, Thorn S, Sinusas A, Carson R, Liu C. GPU-based List-mode Direct Parametric Reconstruction for Dynamic Cardiac SPECT. 2017, 00: 1-3. DOI: 10.1109/nssmic.2017.8532889.
Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PETChan C, Onofrey J, Jian Y, Germino M, Papademetris X, Carson RE, Liu C. Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET. IEEE Transactions On Medical Imaging 2017, 37: 504-515. PMID: 29028189, PMCID: PMC7304524, DOI: 10.1109/tmi.2017.2761756.
Quantification of intramyocardial blood volume with 99mTc-RBC SPECT-CT imaging: A preclinical studyMohy-Ud-Din H, Boutagy NE, Stendahl JC, Zhuang ZW, Sinusas AJ, Liu C. Quantification of intramyocardial blood volume with 99mTc-RBC SPECT-CT imaging: A preclinical study. Journal Of Nuclear Cardiology 2017, 25: 2096-2111. PMID: 28695406, PMCID: PMC5985225, DOI: 10.1007/s12350-017-0970-4.
Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CTLiu Q, Mohy-ud-Din H, Boutagy N, Jiang M, Ren S, Stendahl J, Sinusas A, Liu C. Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT. Physics In Medicine And Biology 2017, 62: 3944-3957. PMID: 28266929, PMCID: PMC5568763, DOI: 10.1088/1361-6560/aa6520.
COMPUTED TOMOGRAPHIC ANGIOGRAPHY CAN RELIABLY ASSESS EPICARDIAL CORONARY VASOREACTIVITY IN RESPONSE TO ADENOSINE AND DOBUTAMINEFeher A, John S, Boutagy N, Romito E, Liu C, Sinusas A. COMPUTED TOMOGRAPHIC ANGIOGRAPHY CAN RELIABLY ASSESS EPICARDIAL CORONARY VASOREACTIVITY IN RESPONSE TO ADENOSINE AND DOBUTAMINE. Journal Of The American College Of Cardiology 2017, 69: 1503. DOI: 10.1016/s0735-1097(17)34892-1.
Noise suppressed partial volume correction for cardiac SPECT/CTChan C, Liu H, Grobshtein Y, Stacy MR, Sinusas AJ, Liu C. Noise suppressed partial volume correction for cardiac SPECT/CT. Medical Physics 2016, 43: 5225-5239. PMID: 27587054, PMCID: PMC5001975, DOI: 10.1118/1.4961391.
Quantitative Analysis of Dynamic 123I-mIBG SPECT Imaging Data in Healthy Humans with a Population-Based Metabolite Correction MethodWu J, Lin SF, Gallezot JD, Chan C, Prasad R, Thorn S, Stacy MR, Huang Y, Zonouz TH, Liu YH, Lampert RJ, Carson RE, Sinusas AJ, Liu C. Quantitative Analysis of Dynamic 123I-mIBG SPECT Imaging Data in Healthy Humans with a Population-Based Metabolite Correction Method. Journal Of Nuclear Medicine 2016, 57: 1226-1232. PMID: 27081169, DOI: 10.2967/jnumed.115.171710.
Event-by-Event Continuous Respiratory Motion Correction for Dynamic PET ImagingYu Y, Chan C, Ma T, Liu Y, Gallezot JD, Naganawa M, Kelada OJ, Germino M, Sinusas AJ, Carson RE, Liu C. Event-by-Event Continuous Respiratory Motion Correction for Dynamic PET Imaging. Journal Of Nuclear Medicine 2016, 57: 1084-1090. PMID: 26912437, DOI: 10.2967/jnumed.115.167676.
The impact of system matrix dimension on small FOV SPECT reconstruction with truncated projectionsChan C, Dey J, Grobshtein Y, Wu J, Liu YH, Lampert R, Sinusas AJ, Liu C. The impact of system matrix dimension on small FOV SPECT reconstruction with truncated projections. Medical Physics 2015, 43: 213-224. PMID: 26745914, PMCID: PMC4691252, DOI: 10.1118/1.4938098.
Scatter and crosstalk corrections for 99mTc/123I dual‐radionuclide imaging using a CZT SPECT system with pinhole collimatorsFan P, Hutton BF, Holstensson M, Ljungberg M, Pretorius P, Prasad R, Ma T, Liu Y, Wang S, Thorn SL, Stacy MR, Sinusas AJ, Liu C. Scatter and crosstalk corrections for 99mTc/123I dual‐radionuclide imaging using a CZT SPECT system with pinhole collimators. Medical Physics 2015, 42: 6895-6911. PMID: 26632046, DOI: 10.1118/1.4934830.
Assessment of Kinetic Modeling Quality of Fit by Cluster Analysis of Residuals: Application to Direct Reconstruction of Cardiac PET DataGermino M, Sinusas A, Liu C, Carson R. Assessment of Kinetic Modeling Quality of Fit by Cluster Analysis of Residuals: Application to Direct Reconstruction of Cardiac PET Data. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582243.
Anatomical-based partial volume correction for low-dose dedicated cardiac SPECT/CTLiu H, Chan C, Grobshtein Y, Ma T, Liu Y, Wang S, Stacy MR, Sinusas AJ, Liu C. Anatomical-based partial volume correction for low-dose dedicated cardiac SPECT/CT. Physics In Medicine And Biology 2015, 60: 6751-6773. PMID: 26296043, PMCID: PMC4747118, DOI: 10.1088/0031-9155/60/17/6751.
Monte Carlo Simulations of the GE Discovery Alcyone CZT SPECT SystemsPretorius P, Liu C, Fan P, Peterson M, Ljungberg M. Monte Carlo Simulations of the GE Discovery Alcyone CZT SPECT Systems. IEEE Transactions On Nuclear Science 2015, 62: 832-839. DOI: 10.1109/tns.2015.2433533.
Data-Driven Respiratory Motion Estimation and Correction Using TOF PET List-Mode Centroid of DistributionRen S, Jin X, Chan C, Jian Y, Mulnix T, Liu C, Carson R. Data-Driven Respiratory Motion Estimation and Correction Using TOF PET List-Mode Centroid of Distribution. 2015, 1-5. DOI: 10.1109/nssmic.2014.7431029.
Abstract 19973: Dynamic Thallium-201 SPECT/CT Provides Quantitative Index of Myocardial Flow and Viability: Validation in Porcine Post-Myocardial Infarction ModelThorn S, Stacy M, Bregasi A, Paeng J, Tavakoli V, Winters J, Hawley C, Tang Y, Bennett J, Wells R, Liu C, Klein R, Sinusas A. Abstract 19973: Dynamic Thallium-201 SPECT/CT Provides Quantitative Index of Myocardial Flow and Viability: Validation in Porcine Post-Myocardial Infarction Model. Circulation 2014, 130 DOI: 10.1161/circ.130.suppl_2.19973.
Monte Carlo Simulations of the GE Discovery Alcyone CZT SPECT SystemLjungberg M, Liu C, Fan P, Pretorius P. Monte Carlo Simulations of the GE Discovery Alcyone CZT SPECT System. 2014, 1-3. DOI: 10.1109/nssmic.2014.7430823.
Direct EM Reconstruction of Kinetic Parameters from List-Mode Cardiac PETGermino M, Sinusas A, Liu C, Carson R. Direct EM Reconstruction of Kinetic Parameters from List-Mode Cardiac PET. 2014, 1-4. DOI: 10.1109/nssmic.2014.7430812.
End-expiration respiratory gating for a high-resolution stationary cardiac SPECT systemChan C, Harris M, Le M, Biondi J, Grobshtein Y, Liu YH, Sinusas AJ, Liu C. End-expiration respiratory gating for a high-resolution stationary cardiac SPECT system. Physics In Medicine And Biology 2014, 59: 6267-6287. PMID: 25256033, PMCID: PMC4528968, DOI: 10.1088/0031-9155/59/20/6267.
Is Assessment of Absolute Myocardial Perfusion with SPECT Ready for Prime Time?Liu C, Sinusas AJ. Is Assessment of Absolute Myocardial Perfusion with SPECT Ready for Prime Time? Journal Of Nuclear Medicine 2014, 55: 1573-1575. PMID: 25236351, DOI: 10.2967/jnumed.114.144550.
Serial Imaging of Tumor Hypoxia in Early Stage Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body RadiotherapyKelada O, Decker R, Zheng M, Huang Y, Xia Y, Gallezot J, Liu C, Rockwell S, Carson R, Oelfke U, Carlson D. Serial Imaging of Tumor Hypoxia in Early Stage Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy. International Journal Of Radiation Oncology • Biology • Physics 2014, 90: s26-s27. DOI: 10.1016/j.ijrobp.2014.05.126.
WE‐G‐BRD‐06: Variation in Dynamic Positron Emission Tomography Imaging of Tumor Hypoxia in Early Stage Non‐Small Cell Lung Cancer Patients Undergoing Stereotactic Body RadiotherapyKelada O, Decker R, Zheng M, Huang Y, Xia Y, Gallezot J, Liu C, Rockwell S, Carson R, Oelfke U, Carlson D. WE‐G‐BRD‐06: Variation in Dynamic Positron Emission Tomography Imaging of Tumor Hypoxia in Early Stage Non‐Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy. Medical Physics 2014, 41: 520-520. DOI: 10.1118/1.4889490.
Event‐by‐event respiratory motion correction for PET with 3D internal‐1D external motion correlationChan C, Jin X, Fung EK, Naganawa M, Mulnix T, Carson RE, Liu C. Event‐by‐event respiratory motion correction for PET with 3D internal‐1D external motion correlation. Medical Physics 2013, 40: 112507. PMID: 24320466, DOI: 10.1118/1.4826165.
Simultaneous Partial Volume Correction and Noise Regularization for Cardiac SPECT/CTChan C, Liu H, Grobshtein Y, Stacy M, Sinusas A, Liu C. Simultaneous Partial Volume Correction and Noise Regularization for Cardiac SPECT/CT. 2013, 1-6. DOI: 10.1109/nssmic.2013.6829070.
3D Molecular Breast Imaging Using a High-Resolution Dedicated Cardiac SPECT CameraLiu H, Chan C, Grobshtein Y, Ma T, Liu Y, Wang S, Kench P, Sinusas A, Liu C. 3D Molecular Breast Imaging Using a High-Resolution Dedicated Cardiac SPECT Camera. 2013, 1-4. DOI: 10.1109/nssmic.2013.6829097.
Event-by-event respiratory motion correction for PET with 3-Dimensional internal-external motion correlationChan C, Jin X, Fung E, Naganawa M, Mulnix T, Carson R, Liu C. Event-by-event respiratory motion correction for PET with 3-Dimensional internal-external motion correlation. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2117-2122. DOI: 10.1109/nssmic.2012.6551485.
Myocardial blood flow from dynamic PET using Independent Component AnalysisKarpikov A, Tagare H, Mulnix T, Gallezot J, Sinusas A, Liu C, Carson R. Myocardial blood flow from dynamic PET using Independent Component Analysis. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2222-2226. DOI: 10.1109/nssmic.2012.6551506.
List-mode reconstruction for the Biograph mCT with probabilistic line-of-response positioning and event-by-event motion correctionJin X, Chan C, Mulnix T, Liu C, Carson R. List-mode reconstruction for the Biograph mCT with probabilistic line-of-response positioning and event-by-event motion correction. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 3682-3687. DOI: 10.1109/nssmic.2012.6551847.
Enhancing clinical utility of respiratory-gated PET/CT using patient respiratory trace classificationBowen S, Pierce L, Alessio A, Liu C, Kinahan P. Enhancing clinical utility of respiratory-gated PET/CT using patient respiratory trace classification. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2881-2885. DOI: 10.1109/nssmic.2012.6551657.
Respiratory Gating for A Stationary Dedicated Cardiac SPECT SystemLiu C, Chan C, Harris M, Le M, Biondi J, Volokh L, Sinusas A. Respiratory Gating for A Stationary Dedicated Cardiac SPECT System. 2011, 2898-2901. DOI: 10.1109/nssmic.2011.6152514.
Respiratory motion correction for quantitative PET/CT using all detected events with internal—external motion correlationLiu C, Alessio AM, Kinahan PE. Respiratory motion correction for quantitative PET/CT using all detected events with internal—external motion correlation. Medical Physics 2011, 38: 2715-2723. PMID: 21776808, PMCID: PMC3107832, DOI: 10.1118/1.3582692.
Quiescent period respiratory gating for PET/CTLiu C, Alessio A, Pierce L, Thielemans K, Wollenweber S, Ganin A, Kinahan P. Quiescent period respiratory gating for PET/CT. Medical Physics 2010, 37: 5037-5043. PMID: 20964223, PMCID: PMC2945743, DOI: 10.1118/1.3480508.
Myocardial perfusion SPECT using a rotating multi-segment slant-hole collimator.Liu C, Xu J, Tsui BM. Myocardial perfusion SPECT using a rotating multi-segment slant-hole collimator. Medical Physics 2010, 37: 1610-8. PMID: 20443482, PMCID: PMC2852444, DOI: 10.1118/1.3310386.
The impact of respiratory motion on tumor quantification and delineation in static PET/CT imagingLiu C, Pierce LA, Alessio AM, Kinahan PE. The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging. Physics In Medicine And Biology 2009, 54: 7345-7362. PMID: 19926910, PMCID: PMC2895622, DOI: 10.1088/0031-9155/54/24/007.

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