(Monday, 7/30/2018) 4:30 PM - 6:00 PM
Room: Room 202
The purpose of this symposium is to review recent advances in reconstruction and parametric estimation problems in different medical imaging modalities. Algorithm development for MRI, nuclear imaging, and computed tomography has been an active research area in recent years. Across these modalities, one can find common formulations of estimation objective functions and optimizers, as well as distinct strategies that are specific to each modality. This symposium will present both the similarities and differences between optimization methods on different imaging systems. In particular, physical models; spatial, temporal, and physiological parameterizations of patients; regularization strategies; and methods for the integration of prior knowledge will be described. Lectures in this symposium will be broken up by imaging modalities with specific focus on reconstruction in (i) MRI, (ii) nuclear imaging, and (iii) computed tomography. Topics will include reconstruction and estimation for specific clinical tasks including 4D spatiotemporal imaging of anatomy, imaging of physiological dynamics, and interventional imaging.
Learning Objectives:
1. Understand various strategies for building the physical forward model in different imaging modalities.
2. Understand the role of task-specific customization of reconstruction and estimation problems.
3. Identify common themes and differences in reconstruction across different imaging systems.
Funding Support, Disclosures, and Conflict of Interest: Research Grant, Canon Medical Research Research Grant, Carestream Health Research Grant, Elekta AB Research Collaboration, Fischer Imaging Research Grant, Medtronic Research Collaboration, Philips Healthcare Research Grant, Siemens Healthcare
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