Kira Grogg, PhD
Research Scientist in Radiology and Biomedical ImagingCards
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Research Scientist in Radiology and Biomedical Imaging
Biography
Kira Grogg earned her Ph.D. in high-energy physics from the University of Wisconsin in 2011, where she conducted research at the Large Hadron Collider at CERN. She then began a postdoctoral fellowship at Massachusetts General Hospital/Harvard Medical School (MGH/HMS), where she investigated imaging patients using positron emission tomography (PET) immediately after proton therapy treatments. Her research aimed to verify the location of the proton radiation dose and was supported by an NCI K07 award. In 2015, Grogg became an Instructor at MGH/HMS and in 2019 completed a certificate program in Medical Physics and Instrumentation at HMS. She worked as a clinical medical physicist and researcher, obtaining ABSNM certification in Nuclear Medicine Physics in 2021. In 2024, Grogg joined the Yale PET Center as a Research Scientist.
Appointments
Radiology & Biomedical Imaging
Research ScientistPrimary
Other Departments & Organizations
Education & Training
- Postdoctoral Fellow
- Massachusetts General Hospital (2015)
- PhD
- University of Wisconsin, Physics (2011)
- BA
- Carleton College, Physics and Astronomy (2005)
Advanced Training & Certifications
- ABSNM Diplomate
- American Board of Science in Nuclear Medicine
Research
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Overview
Medical Research Interests
ORCID
0000-0002-4649-6377
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Georges El Fakhri, PhD, DABR
Thibault Marin, PhD
Chao Ma, PhD
Marc David Normandin, PhD
Xiaofeng Liu
Ruth Lim, MD
Positron-Emission Tomography
Publications
2026
Latent diffusion transformers for 3D head and neck tumor segmentation
Dong Y, Marin T, Grogg K, Beddok A, Liu X, Moteabbed M, Woo J, Ma C, Fakhri G. Latent diffusion transformers for 3D head and neck tumor segmentation. Progress In Biomedical Optics And Imaging 2026, 13926: 31. DOI: 10.1117/12.3085831.Peer-Reviewed Original Research
2025
Predicting tumor recurrence site after reirradiation in head and neck cancer: a retrospective external validation of a published [18F]-FDG PET radiomic signature
Beddok A, Grogg K, Nioche C, Rozenblum L, Orlhac F, Calugaru V, Crehange G, Shih H, Marin T, Buvat I, El Fakhri G. Predicting tumor recurrence site after reirradiation in head and neck cancer: a retrospective external validation of a published [18F]-FDG PET radiomic signature. La Radiologia Medica 2025, 130: 1854-1863. PMID: 40833475, DOI: 10.1007/s11547-025-02072-1.Peer-Reviewed Original ResearchCitationsAltmetricModeling inter‐reader variability in clinical target volume delineation for soft tissue sarcomas using diffusion model
Dong Y, Marin T, Zhuo Y, Najem E, Beddok A, Rozenblum L, Moteabbed M, Grogg K, Xing F, Woo J, Chen Y, Lim R, Liu X, Ma C, Fakhri G. Modeling inter‐reader variability in clinical target volume delineation for soft tissue sarcomas using diffusion model. Medical Physics 2025, 52: e17865-e17865. PMID: 40317577, PMCID: PMC12424543, DOI: 10.1002/mp.17865.Peer-Reviewed Original ResearchEffects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury
Zang M, Zeng C, Lagier D, Leng N, Grogg K, Motta-Ribeiro G, Laine A, Winkler T, Melo M. Effects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury. Anesthesiology 2025, 142: 1071-1084. PMID: 39946655, PMCID: PMC12074886, DOI: 10.1097/aln.0000000000005412.Peer-Reviewed Original ResearchCitationsAltmetricGross tumor volume confidence maps prediction for soft tissue sarcomas from multi-modality medical images using a diffusion model
Dong Y, Marin T, Zhuo Y, Najem E, Moteabbed M, Xing F, Beddok A, Lahoud R, Rozenblum L, Ding Z, Liu X, Grogg K, Woo J, Chen Y, Lim R, Ma C, Fakhri G. Gross tumor volume confidence maps prediction for soft tissue sarcomas from multi-modality medical images using a diffusion model. Physics And Imaging In Radiation Oncology 2025, 33: 100734. PMID: 40123775, PMCID: PMC11926426, DOI: 10.1016/j.phro.2025.100734.Peer-Reviewed Original Research
2024
Integration of a continuously varying image-space PSF for a dual-panel ultra-high TOF-PET scanner
Chemli Y, Marin T, Orehar M, Dolenec R, Normandin M, Gascón D, Gola A, Grogg K, Pavón G, Razdevsek G, Pestotnik R, Fakhri G. Integration of a continuously varying image-space PSF for a dual-panel ultra-high TOF-PET scanner. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10656225.Peer-Reviewed Original ResearchMechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model
Lagier D, Zeng C, Kaczka D, Zhu M, Grogg K, Gerard S, Reinhardt J, Ribeiro G, Rashid A, Winkler T, Vidal Melo M. Mechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model. Science Translational Medicine 2024, 16: eado1097. PMID: 39141699, DOI: 10.1126/scitranslmed.ado1097.Peer-Reviewed Original ResearchCitationsAltmetric
2023
Dynamic lung aeration and strain with positive end-expiratory pressure individualized to maximal compliance versus ARDSNet low-stretch strategy: a study in a surfactant depletion model of lung injury
Zeng C, Zhu M, Motta-Ribeiro G, Lagier D, Hinoshita T, Zang M, Grogg K, Winkler T, Vidal Melo M. Dynamic lung aeration and strain with positive end-expiratory pressure individualized to maximal compliance versus ARDSNet low-stretch strategy: a study in a surfactant depletion model of lung injury. Critical Care 2023, 27: 307. PMID: 37537654, PMCID: PMC10401825, DOI: 10.1186/s13054-023-04591-7.Peer-Reviewed Original ResearchCitationsAltmetricImpact of motion correction on [18F]-MK6240 tau PET imaging
Tiss A, Marin T, Chemli Y, Spangler-Bickell M, Gong K, Lois C, Petibon Y, Landes V, Grogg K, Normandin M, Becker A, Thibault E, Johnson K, Fakhri G, Ouyang J. Impact of motion correction on [18F]-MK6240 tau PET imaging. Physics In Medicine And Biology 2023, 68: 10.1088/1361-6560/acd161. PMID: 37116511, PMCID: PMC10278956, DOI: 10.1088/1361-6560/acd161.Peer-Reviewed Original ResearchCitationsAltmetricTOPAS-imaging: extensions to the TOPAS simulation toolkit for medical imaging systems
Lee H, Cheon B, Feld J, Grogg K, Perl J, Ramos-Méndez J, Faddegon B, Min C, Paganetti H, Schuemann J. TOPAS-imaging: extensions to the TOPAS simulation toolkit for medical imaging systems. Physics In Medicine And Biology 2023, 68: 10.1088/1361-6560/acc565. PMID: 36930985, PMCID: PMC10164408, DOI: 10.1088/1361-6560/acc565.Peer-Reviewed Original ResearchCitations
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