OSA Incubator on Computational Modeling & Performance Metrics for Imaging System Design & Evaluation – Day 1
By Yansong Zhu, Johns Hopkins University
A warm welcome given by Elizabeth Rogan, Chief Executive Officer of OSA, marked the start of the OSA Incubator on Computational Modeling & Performance Metrics for Imaging System Design & Evaluation Hosts Joseph Reynolds, from the Night Vision and Electronic Sensors Directorate of the U.S. Army, and Christian Graff, from the U.S. Food and Drug Administration, gave the overview of what they wanted to accomplish. The goal of this meeting is to share information among researchers in different fields with common problems, to foster future collaborations, to identify areas in need of further research, and to develop strategies for incorporating computer simulations in imaging device performance evaluation. Their hope was to bring together defense and medical imaging science communities to share methods, lessons learned, issues, and future directions for modeling and simulation of complex imaging systems. After the overview presentations, Joseph Reynolds presented an introduction to the imaging chain, from input scene to human or machine evaluator.
Following a short break where participants got the chance to network, the meeting entered the first session: Background/Scenery & Signal/Target Modeling. Endre Repasi, from the Fraunhofer IOSB, discussed the simulation challenge of image formation affected by atmospheric turbulence. He explained the concept of pristine image and dirty image, and showed the results of simulating images with strong turbulence from pristine images. Next, Christian Graff talked about anthropomorphic digital phantoms for medical imaging. He pointed out how insufficient classically defined phantoms are for representing real world biological systems. He talked about the advantages and weaknesses of synthesized and procedurally generated phantoms and used an example of a breast phantom to explain the generation of this better class of phantoms.
A second session started after lunch: Modeling the Image Formation Process/Hardware. Rob Bates, from FiveFocal LLC, delivered a presentation on the topic of simulation and optimization of the imaging chain. He showed examples of image-based optimization and metric-based optimization and talked about the benefits and limitations of these two optimization methods. Andreu Badal-Soler, from the U.S. Food & Drug Administration, spoke about monte carlo X-ray simulation with graphics processing units (GPUs) and talked about accelerating monte carlo simulation with parallel computing on GPUs.
More to come from the Optical Computing Incubator, Day 2. Stay tuned!
Host Christian G. Graff, U.S. Food and Drug Administration, kicks off the meeting!
Posted: 14 April 2016 by Yansong Zhu, Johns Hopkins University | with 0 comments
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