NDLI: MEDICS: ultra-portable processing for medical image reconstruction

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MEDICS: ultra-portable processing for medical image reconstruction

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MEDICS: ultra-portable processing for medical image reconstruction

Content Provider	ACM Digital Library
Author	Robby, Vincentius Mudge, Trevor Sethia, Ankit Mahlke, Scott Dasika, Ganesh
Abstract	Medical imaging provides physicians with the ability to generate 3D images of the human body in order to detect and diagnose a wide variety of ailments. Making medical imaging portable and more accessible provides a unique set of challenges. In order to increase portability, the power consumed in image acquisition -- currently the most power-consuming activity in an imaging device -- must be dramatically reduced. This can only be done, however, by using complex image reconstruction algorithms to correct artifacts introduced by low-power acquisition, resulting in image processing becoming the dominant power-consuming task. Current solutions use combinations of digital signal processors, general purpose processors and, more recently, general-purpose graphics processing units for medical image processing. These solutions fall short for various reasons including high power consumption and an inability to execute the next generation of image reconstruction algorithms. This paper presents the MEDICS architecture -- a domain-specific multicore architecture designed specifically for medical imaging applications, but with sufficient generality tomake it programmable. The goal is to achieve 100 GFLOPs of performance while consuming orders of magnitude less power than the existing solutions. MEDICS has a throughput of 128 GFLOPs while consuming as little as 1.6W of power on advanced CT reconstruction applications. This represents up to a 20X increase in computation efficiency over current designs.
Starting Page	181
Ending Page	192
Page Count	12
File Format	PDF
ISBN	9781450301787
DOI	10.1145/1854273.1854299
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-09-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Medical imaging Stream processing Operation chaining Low power Stacked dram
Content Type	Text
Resource Type	Article

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