Quantitative 4D Cardiac PET Image Reconstruction Methods for Image quality Improvement and Quantitative Cardiac Motion Estimation
Speaker:Prof. Benjamin M. W. TSUI
Department of Radiology and Radiological Science
Johns Hopkins University, USA
Date & Time:19 Nov 2015 (Thursday) 11:30 - 12:30
Organized by:Department of Electrical and Computer Engineering


Quantitative four-dimensional (4D) image reconstruction methods with respiratory and cardiac motion compensation are an active area of research in ECT imaging, including SPECT and PET. They are extensions of three-dimensional (3D) statistical image reconstruction methods with iterative algorithms that incorporate accurate models of the imaging process, to include additional models of the respiratory and cardiac motion of the patient. We describe respiratory motion estimation and gating methods based on patient PET list-mode data. The estimated respiratory motion is applied to the respiratory gated data to reduce respiratory motion blur. The gated cardiac images derived from the list-model data are used to estimate cardiac motion. They are then used in the cardiac gated images summing the motion-transformed cardiac gated images for significant reduction in the gated images noise. Dual respiratory and cardiac motion compensation is achieved by combining the respiratory and cardiac motion compensation steps. The results are further significant improvements of the 4D gated cardiac PET images. The much improved gated cardiac PET image quality increases the visibility of anatomical details of the heart, which can be explored to provide more accurate estimation of the cardiac motion vector field and cardiac contractility. Results from simulated studies using the 4D XCAT phantom with realistic anatomical structures and respiratory and cardiac motions, and clinical cardiac-gated 18FDG and 13NH3 myocardial perfusion (MP) PET studies demonstrate the effectiveness of the 4D image reconstruction methods.


Prof. Benjamin M. W. Tsui, A.M., Ph.D. is currently a Professor of Radiology with joint appointments in Electrical and Computer Engineering, Biomedical Engineering and Environment Health Sciences and the Director, Division of Medical Imaging Physics, Department of Radiology at the Johns Hopkins University. His research interests include medical imaging physics of SPECT, PET and CT, computer generated phantoms, computer simulation techniques, quantitative analytical and statistical 3D and 4D image reconstruction methods, image quality evaluation using model and human observers, cardiac and respiratory motion compensation, multi-modality SPECT/CT, PET/CT, SPECT/MR and PET/MR imaging, and preclinical small animal imaging instrumentation and techniques. He has over 300 publications and is a fellow of the IEEE, IOP and AIMBE and member of AAPM, SNMMI, ASNC, and WMIS