GPU vs CPU for Snake segmentation

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John McDonough

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May 5, 2017, 6:10:44 AM5/5/17
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Does anyone know if the region growing algorithms are CPU or GPU limited?  Read somewhere that ITK-SNAP can take advantage of the GPU but not sure if this also applies to the automatic segmention or only to the 3d visualization.
Mainly looking at purchasing a new computer to run imaging software and whether I should invest in a better graphics card or CPU. 

Paul Yushkevich

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Jun 2, 2017, 6:30:23 AM6/2/17
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Hi John,

The graphics card is primarily used for rendering. Unfortunately, ITK, the parent library, did not get very far in implementation of GPU-based filters. The best way to get more out of ITK-SNAP is to get a multi-core CPU, the more cores, the faster most processing algorithms will be. And of course, enough memory for processing large datasets.

However, with all the excitement about deep learning these days, if I were shopping for a machine I would probably get one with a decent GPU, e.g., a mid to high-range NVidia gaming card. 

Best,
paul

On Fri, May 5, 2017 at 6:10 AM, John McDonough <john.e.m...@gmail.com> wrote:
Does anyone know if the region growing algorithms are CPU or GPU limited?  Read somewhere that ITK-SNAP can take advantage of the GPU but not sure if this also applies to the automatic segmention or only to the 3d visualization.
Mainly looking at purchasing a new computer to run imaging software and whether I should invest in a better graphics card or CPU. 

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Paul A. Yushkevich, Ph.D.
Associate Professor
Penn Image Computing and Science Laboratory
Department of Radiology
University of Pennsylvania
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