Michal Kulon, MD
Cards
Appointments
Titles
Program Director, Nuclear Radiology Fellowship, Nuclear Radiology
Contact Info
Radiology & Biomedical Imaging
333 Cedar Street
New Haven, CT 06510
United States
Appointments
Titles
Program Director, Nuclear Radiology Fellowship, Nuclear Radiology
Contact Info
Radiology & Biomedical Imaging
333 Cedar Street
New Haven, CT 06510
United States
Appointments
Titles
Program Director, Nuclear Radiology Fellowship, Nuclear Radiology
Contact Info
Radiology & Biomedical Imaging
333 Cedar Street
New Haven, CT 06510
United States
About
Titles
Assistant Professor of Radiology & Biomedical Imaging
Program Director, Nuclear Radiology Fellowship, Nuclear RadiologyBiography
I interpret a variety of nuclear medicine scans, such as PET-CT for oncologic staging, bone scans, octreotide, MIBG, MAG-3, Ga68-DOTATATE scans, Axumin (fluciclovine), F-18 DCFPyL, PET-CT, and SPECT-CT brain scans for seizure localization, evaluation of Alzheimer's Disease and other indications. I also perform radioiodine, radium, and Lutathera therapies ( Lu 177 DOTATATE). My research interests include informatics, natural language processing, and machine vision.
Appointments
Radiology & Biomedical Imaging
Assistant ProfessorPrimary
Other Departments & Organizations
Education & Training
- Resident
- University of Virginia (2015)
- Chief Resident
- Columbia University / NYP Hospital (2011)
- MD
- Poznan University of Medical Sciences (2006)
- BEngSci
- University of Pennsylvania, Bioengineering (2001)
Research
Overview
Medical Subject Headings (MeSH)
Research at a Glance
Yale Co-Authors
Publications Timeline
Anne Marie Boustani, MD
Chi Liu, PhD
Ming-Kai Chen, MD, PhD
Eliot Funai
Fabian Max Laage Gaupp, MD
Julius Chapiro, MD/PhD
Publications
2022
Virtual high‐count PET image generation using a deep learning method
Liu 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.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsStructural similarity indexImage quality evaluationDeep learning-based methodsDeep learning methodsImage qualityLearning-based methodsPET datasetsStatic datasetsDL methodsNet networkImage generationPET imagesNetwork inputsImage counterpartsLearning methodsNetwork outputTraining datasetPeak signalPositron emission tomography (PET) imagesQuality evaluationDatasetCross-validation resultsMean square errorHigh-count imagesImages- Aishwariya Vegunta, MD; Rasha Ismail, MD ; Jennifer Wu, MD; Edison Tsui MD; Joseph Moulton MD; Darko Pucar, MD, PhD; Michal Kulon, MD, SNMMI Abstract 2022Peer-Reviewed Original Research
2021
PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients
Liu 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.Peer-Reviewed Original ResearchCitationsAltmetricAssociation of COVID-19 mRNA Vaccine With Ipsilateral Axillary Lymph Node Reactivity on Imaging
Adin ME, Isufi E, Kulon M, Pucar D. Association of COVID-19 mRNA Vaccine With Ipsilateral Axillary Lymph Node Reactivity on Imaging. JAMA Oncology 2021, 7: 1241-1242. PMID: 34110378, PMCID: PMC8193545, DOI: 10.1001/jamaoncol.2021.1794.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
2020
Altered FDG Biodistribution in Subcutaneous White Fat on PET/CT Following l-Asparaginase Chemotherapy.
Young CR, Kulon ME, Boustani AM, Pucar D. Altered FDG Biodistribution in Subcutaneous White Fat on PET/CT Following l-Asparaginase Chemotherapy. Clinical Nuclear Medicine 2020, 46: e179-e180. PMID: 33086270, DOI: 10.1097/rlu.0000000000003340.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPET/CTAltered biodistributionMediastinal T-cell lymphoblastic lymphomaPosttreatment FDG PET/CTFDG PET/CTT-cell lymphoblastic lymphomaSubcutaneous white adipose tissueWhite adipose tissueTreatment response assessmentSubcutaneous white fatAsparaginase chemotherapyLymphoblastic lymphomaAsparaginase resistanceFDG biodistributionResponse assessmentWhite fatGlucose metabolismAdipose tissueTreatment cyclesLeukemic cellsVisceral activityCTBiodistributionChemotherapyDiffuse activityInferior vena cava syndrome on skeletal scintigraphy secondary to metastatic prostate cancer
Makusha L, Kulon M, Pucar D, Young C. Inferior vena cava syndrome on skeletal scintigraphy secondary to metastatic prostate cancer. World Journal Of Nuclear Medicine 2020, 19: 324-326. PMID: 33354201, PMCID: PMC7745851, DOI: 10.4103/wjnm.wjnm_53_19.Peer-Reviewed Original ResearchConceptsInferior vena cava syndromeVena cava syndromeSkeletal scintigraphyIVC syndromeRetroperitoneal adenopathyExtrinsic compressionProstate cancerComputed tomographyMetastatic prostate cancerSoft tissue uptakeLower hemibodyRare presentationIntraluminal occlusionUnusual caseTissue uptakeAnatomic imagingScintigraphySyndromeChest levelCharacteristic appearanceInfrequent occurrenceAdenopathyCancerHemibodyMetastasisLipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer
Miszczuk MA, Chapiro J, Geschwind JH, Thakur V, Nezami N, Laage-Gaupp F, Kulon M, van Breugel JMM, Fereydooni A, Lin M, Savic LJ, Tegel B, Wahlin T, Funai E, Schlachter T. Lipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer. Translational Oncology 2020, 13: 100742. PMID: 32092672, PMCID: PMC7036424, DOI: 10.1016/j.tranon.2020.01.003.Peer-Reviewed Original ResearchCitationsAltmetric- Makusha LP, Kulon M, Pucar D, Young CR. Inferior vena cava syndrome on skeletal scintigraphy secondary to metastatic prostate cancer. World J Nucl Med 2020;19:324-6Peer-Reviewed Original Research
- PET-CT Image Denoising using a Deep-Learning Method for Extremely Obese Patients. Hui Liu, Hamed Yousefi, Niloufar Mirian, MingDe Lin, David Menard, Matthew Gregory, Annemarie Boustani, Ming-Kai Chen, Michal Kulon, Lawrence Saperstein, Darko Pucar, Chi Liu, pending publicationPeer-Reviewed Original Research In Press
2016
- Michal Kulon MD, Society for Imaging Informatics in Medicine - Abstract and Presentation 2016Peer-Reviewed Original Research
Clinical Trials
Current Trials
Cognitive Training Study in Parkinson’s Disease
HIC ID2000029032RoleSub InvestigatorPrimary Completion Date10/31/2030Recruiting Participants
Academic Achievements and Community Involvement
activity Vice President
Professional OrganizationsMedicusDetails05/01/2018 - Present
Clinical Care
Overview
Michael Kulon, MD, specializes in nuclear medicine, radiology, and biomedical imaging. Nuclear medicine entails using small amounts of radioactive substances to diagnose and treat diseases.
“Radiology, and specifically nuclear radiology, is an interesting combination of anatomy, physiology, pathology, chemistry, and technology,” Dr. Kulon says. “Nuclear radiology offers unique diagnostic and therapeutic procedures that facilitate patient care. I enjoy the opportunity to positively impact patients' clinical course through diagnostic tests and through therapies.”
Dr. Kulon interprets a variety nuclear medicine scans, including PET-CT scans for oncologic staging; whole body bone scans; PET-CT and SPECT-CT brain scans for seizure localization and evaluation of Alzheimer’s disease; radioactive iodine (RAI)/1-131 for thyroid cancer; ventilation/perfusion (V/Q) scans; and radioisotope renography.
His research interests include informatics, natural language processing, and machine vision.
Clinical Specialties
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- November 08, 2015
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Radiology & Biomedical Imaging
333 Cedar Street
New Haven, CT 06510
United States