Creating optimal code for GPU-accelerated CT reconstruction using ant colony optimization

Purpose: CT reconstruction algorithms implemented on the GPU are highly sensitive to their implementation details and the hardware they run on. Fine-tuning an implementation for optimal performance can be a time consuming task and require many updates when the hardware changes. There are some techni...

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Bibliographic Details
Published in:	Medical physics (Lancaster) Vol. 40; no. 3; pp. 031110 - n/a
Main Authors:	Papenhausen, Eric, Zheng, Ziyi, Mueller, Klaus
Format:	Journal Article
Language:	English
Published:	United States American Association of Physicists in Medicine 01.03.2013
Subjects:	Algorithms ant colony optimization Architectures of general purpose stored programme computers Boundary value problems Computed tomography Computer Graphics Computer hardware Computerised tomographs computerised tomography Computers CT reconstruction Digital computing or data processing equipment or methods, specially adapted for specific applications filtered backprojection GPU Graphical methods graphics processing units image coding Image coding, e.g. from bit‐mapped to non bit‐mapped Image data processing or generation, in general Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods image reconstruction medical image processing Medical image quality Medical image reconstruction Medical imaging Numerical optimization Optimization Reconstruction separable footprint Solution processes Time Factors Tomography, X-Ray Computed - methods ant colony optimization separable footprint GPU CT reconstruction filtered backprojection
ISSN:	0094-2405, 2473-4209, 2473-4209
Online Access:	Get full text
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