Fast arbitrary-slice CT reconstruction with GPUs

Jakob Nebeker; Thomas R. Nelson; John M Boone

doi:10.1117/12.708342

Fast arbitrary-slice CT reconstruction with GPUs

Jakob Nebeker, Thomas R. Nelson, John M Boone

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Volume data reconstruction from cone-beam projections can be time consuming, typically reconstructing parallel axial slices. We present a system for performing fast, arbitrary-orientation CT slice reconstruction using commodity graphics processing units (GPUs). For 1024x1024 voxel slice reconstruction we have achieved a 89-fold performance improvement over a CPU implementation with comparable image quality.

Original language	English (US)
Title of host publication	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	6510
Edition	PART 3
DOIs	https://doi.org/10.1117/12.708342
State	Published - 2007
Event	Medical Imaging 2007: Physics of Medical Imaging - San Diego, CA, United States Duration: Feb 18 2007 → Feb 22 2007

Other

Other	Medical Imaging 2007: Physics of Medical Imaging
Country	United States
City	San Diego, CA
Period	2/18/07 → 2/22/07

Keywords

Breast
Cancer
CT
Detection
Diagnosis
Graphics processing units
Tomography

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1117/12.708342

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Cite this

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title = "Fast arbitrary-slice CT reconstruction with GPUs",

abstract = "Volume data reconstruction from cone-beam projections can be time consuming, typically reconstructing parallel axial slices. We present a system for performing fast, arbitrary-orientation CT slice reconstruction using commodity graphics processing units (GPUs). For 1024x1024 voxel slice reconstruction we have achieved a 89-fold performance improvement over a CPU implementation with comparable image quality.",

keywords = "Breast, Cancer, CT, Detection, Diagnosis, Graphics processing units, Tomography",

author = "Jakob Nebeker and Nelson, {Thomas R.} and Boone, {John M}",

year = "2007",

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T1 - Fast arbitrary-slice CT reconstruction with GPUs

AU - Nebeker, Jakob

AU - Nelson, Thomas R.

AU - Boone, John M

PY - 2007

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N2 - Volume data reconstruction from cone-beam projections can be time consuming, typically reconstructing parallel axial slices. We present a system for performing fast, arbitrary-orientation CT slice reconstruction using commodity graphics processing units (GPUs). For 1024x1024 voxel slice reconstruction we have achieved a 89-fold performance improvement over a CPU implementation with comparable image quality.

AB - Volume data reconstruction from cone-beam projections can be time consuming, typically reconstructing parallel axial slices. We present a system for performing fast, arbitrary-orientation CT slice reconstruction using commodity graphics processing units (GPUs). For 1024x1024 voxel slice reconstruction we have achieved a 89-fold performance improvement over a CPU implementation with comparable image quality.

KW - Breast

KW - Cancer

KW - CT

KW - Detection

KW - Diagnosis

KW - Graphics processing units

KW - Tomography

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DO - 10.1117/12.708342

M3 - Conference contribution

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BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

T2 - Medical Imaging 2007: Physics of Medical Imaging

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