IEEE 2021 NSS MIC

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PET kinetic modeling and parametric imaging

Session chair: Gunn , Roger N. (Invicro & Imperial College London, London, UK); Normandin , Marc D. (Massachusetts General Hospital, Boston, USA); Wang , Guobao (University of California, Davis, Department of Radiology, Sacramento, USA)
 
Shortcut: SC-07
Date: Saturday, 16 October, 2021, 8:00 AM - 1:00 PM
Room: SC-03
Session type: Short Course

Dynamic PET imaging with tracer kinetic modeling can provide images of physiologically important parameters that have the advantages of creating higher lesion contrast, being quantitative, and allowing single tracer multiparametric imaging as compared to standard static images. Conventionally, dynamic PET parametric imaging was hampered by limited scanner sensitivity and axial field-of-view. State-of-the-art commercial PET scanners now have achieved unprecedented sensitivity and also enabled simultaneous dynamic imaging of the entire body. It is becoming increasingly feasible to exploit kinetic modeling and parametric imaging for various clinical applications. This course will provide an overview of the basics of PET tracer kinetic modeling and parametric imaging and clinical applications.  It will also cover recent advances in total-body PET kinetic modeling. The intended audience is anyone who would like to gain a better understanding of PET kinetic modeling and parametric imaging.

Contents

Click on an contribution to preview the abstract content.

8:00 AM SC-07-01

Basics of dynamic PET quantification / Compartment modeling (#1581)

R. Gunn1

1 Imperial College London / Brain Sciences, London, United Kingdom

Abstract

Biography Roger Gunn is CSO, Neuroscience at Invicro Konica Minolta and Professor of Molecular Neuroimaging at Imperial College London. In his role at Invicro, he is heading the companies CNS strategy including the R&D of new biomarkers, analytics and leading the design, analysis and delivery of clinical imaging trials for pharmaceutical companies. He has held executive management positions in industry for the last 10 years with responsibility for a wide range of scientific imaging portfolios. He is also the founder and a director of MIAKAT Ltd which develops image analysis software for PET imaging data. He has published over 200 peer reviewed papers in the field of imaging with an h-index of 64 and has delivered over 80 invited lectures. His career has involved positions on research councils, consultancy to pharmaceutical companies and the training and mentoring of PhD students and clinical research fellows.

9:15 AM SC-07-02

Break

9:30 AM SC-07-03

Graphical and linearized models / Reference-tissue modeling methods (#1582)

M. Normandin1

1 Massachusetts General Hospital, Boston, Massachusetts, United States of America

Abstract

Biography Marc Normandin is an Associate Professor of Radiology at Harvard Medical School. Dr Normandin’s work spans a variety of laboratory and medical imaging techniques toward the development and application of noninvasive physiological measurement technologies and assessment of therapeutic interventions. To that end, he utilizes pharmacokinetic analysis techniques, radiosynthetic/analytic procedures, and molecular biology assays to characterize biological processes in cell culture, tissue samples, and in vivo imaging in animals and human subjects. He teaches locally at Harvard and MIT and internationally in the PET Pharmacokinetics Course held annually as a satellite to the NeuroReceptor Mapping and BrainPET conferences.

10:45 AM SC-07-04

Lunch Break

11:15 AM SC-07-05

Total-body PET kinetic modeling and parametric imaging / Established and emerging clinical applications (#1477)

G. Wang1

1 University of California, Davis, Department of Radiology, Sacramento, California, United States of America

Abstract

Biography
Guobao Wang is an Associate Professor in the Department of Radiology, University of California Davis Health. His research commonly integrates multidimensional (e.g., dynamic) PET data acquisition with the design of advanced computational imaging algorithms to derive quantitative and multiparametric imaging biomarkers for reducing the burden of human diseases. His lab develops new kinetic modeling methods to account for differences in radiotracer delivery and transport for organ-specific and total-body parametric imaging, as well as learning-based tomographic image reconstruction methods to overcome the noise challenge in parametric imaging with PET. In close collaboration with clinicians, his group is actively pursuing novel clinical translation of PET/CT parametric imaging in various diseases, including fatty liver disease, heart disease, and metastatic cancer. He is a recipient of NIH/NIBIB Trailblazer Award and NIH/NCI Paul Calabresi Clinical Oncology K12 Scholar.

Keywords: Short Course
12:30 PM SC-07-06

Q&A


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