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Program Information

Communication and New Frontiers


R Marsh
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A Kesner



R Marsh*, A Kesner*, University of Colorado School of Medicine, Aurora, CO

Presentations

SA-D-BRC-0 (Saturday, March 7, 2015) 4:00 PM - 6:00 PM Room: Ballroom C


During their course of work, medical physicists interact with colleagues who have varied professional backgrounds. Colleagues – be it physicians, technologists, nursing staff, service engineers, or vendors – sometimes have a unique mis-understanding of the physics of diagnostic imaging. Often, these misunderstandings have real consequences in patient and staff safety and/or image quality. In this session, we will discuss some of the more eye-opening comments that have been made to actual medical physicists. We will also discuss ways to engage colleagues in a productive dialogue about the clinically relevant physics of diagnostic imaging and incorporate these points into teaching of physician residents and other clinical staff.

Learning Objectives:
1. Identify some mis-conceptions about the physics of fluoroscopy systems and the effect on patient and staff dose.
2. Identify some mis-conceptions about CT and their potential negative consequences on clinical care.
3. Learn some ways to improve the understanding of physics among your non-physicist colleagues without alienating yourself.

Patient respiratory motion is now the resolution limiting factor in PET thorax imaging, and must be overcome if we are to utilize present and future high resolution technologies. Gating has been proposed as a solution for managing the image degradation caused by motion, and can be supported on most contemporary PET machines using vendor supplied hardware. However, respiratory gating is failing to be embraced in routine clinical PET imaging practices. We can speculate that this is because of the added effort required to utilize the respiratory gating hardware, and the uncertain benefit the effort provides.

As an alternative to hardware based gating systems, there have been developments in building data driven motion control strategies. Such methods utilize standard (non-gated) acquisitions, and extract motion information from fluctuations in the raw acquired signal. The information can be used to generate gated images, optimize the signal, and provide new ways to visualize motion, all while imposing no changes to current clinical image acquisition procedures. This lecture will introduce these strategies, and compare them to current commercial motion control options. Furthermore, the concept of a data driven motion control framework will be examined as a strategy for future innovation.

Learning Objectives:
1. Understand the obstacle respiratory motion poses in PET imaging
2. Understand the challenges in generating and utilizing motion corrected images
3. Understand differences in hardware driven and data driven motion control strategies

Handouts


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