Literature DB >> 11212371

Rapid 3-D cone-beam reconstruction with the simultaneous algebraic reconstruction technique (SART) using 2-D texture mapping hardware.

K Mueller1, R Yagel.   

Abstract

Algebraic reconstruction methods, such as the algebraic reconstruction technique (ART) and the related simultaneous ART (SART). reconstruct a two-dimensional (2-D) or three-dimensional (3-D) object from its X-ray projections. The algebraic methods have, in certain scenarios, many advantages over the more popular Filtered Backprojection approaches and have also recently been shown to perform well for 3-D cone-beam reconstruction. However, so far the slow speed of these iterative methods have prohibited their routine use in clinical applications. In this paper, we address this shortcoming and investigate the utility of widely available 2-D texture mapping graphics hardware for the purpose of accelerating the 3-D algebraic reconstruction. We find that this hardware allows 3-D cone-beam reconstructions to be obtained at almost interactive speeds, with speed-ups of over 50 with respect to implementations that only use general-purpose CPUs. However, we also find that the reconstruction quality is rather sensitive to the resolution of the framebuffer, and to address this critical issue we propose a scheme that extends the precision of a given framebuffer by 4 bits, using the color channels. With this extension, a 12-bit framebuffer delivers useful reconstructions for 0.5% tissue contrast, while an 8-bit framebuffer requires 4%. Since graphics hardware generates an entire image for each volume projection, it is most appropriately used with an algebraic reconstruction method that performs volume correction at that granularity as well, such as SART or SIRT. We chose SART for its faster convergence properties.

Mesh:

Year:  2000        PMID: 11212371     DOI: 10.1109/42.897815

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  17 in total

1.  Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU.

Authors:  Wai-Man Pang; Jing Qin; Yuqiang Lu; Yongming Xie; Chee-Kong Chui; Pheng-Ann Heng
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-06-30       Impact factor: 2.924

2.  Lung perfusion imaging in small animals using 4D micro-CT at heartbeat temporal resolution.

Authors:  Cristian T Badea; Samuel M Johnston; Ergys Subashi; Yi Qi; Laurence W Hedlund; G Allan Johnson
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

3.  Evaluation of GPU-Based CT Reconstruction for Morbidly Obese Patients.

Authors:  Rui Liu; Mannudeep K Kalra; Jiang Hsieh; Hengyong Yu
Journal:  JSM Biomed Imaging Data Pap       Date:  2017-01-09

4.  Speedup OS-EM Image Reconstruction by PC Graphics Card Technologies for Quantitative SPECT with Varying Focal-Length Fan-Beam Collimation.

Authors:  Zigang Wang; Guoping Han; Tianfang Li; Zhengrong Liang
Journal:  IEEE Trans Nucl Sci       Date:  2005-10       Impact factor: 1.679

5.  Noise simulation in cone beam CT imaging with parallel computing.

Authors:  Shu-Ju Tu; Chris C Shaw; Lingyun Chen
Journal:  Phys Med Biol       Date:  2006-02-15       Impact factor: 3.609

6.  Technical note: algebraic iterative image reconstruction using a cylindrical image grid for tetrahedron beam computed tomography.

Authors:  Joshua Kim; Dan Ionascu; Tiezhi Zhang
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

7.  A comparison of linear interpolation models for iterative CT reconstruction.

Authors:  Katharina Hahn; Harald Schöndube; Karl Stierstorfer; Joachim Hornegger; Frédéric Noo
Journal:  Med Phys       Date:  2016-12       Impact factor: 4.071

8.  Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction.

Authors:  Adam S Wang; J Webster Stayman; Yoshito Otake; Gerhard Kleinszig; Sebastian Vogt; Gary L Gallia; A Jay Khanna; Jeffrey H Siewerdsen
Journal:  Phys Med Biol       Date:  2014-02-07       Impact factor: 3.609

9.  3D forward and back-projection for X-ray CT using separable footprints.

Authors:  Yong Long; Jeffrey A Fessler; James M Balter
Journal:  IEEE Trans Med Imaging       Date:  2010-06-07       Impact factor: 10.048

Review 10.  GPU-based high-performance computing for radiation therapy.

Authors:  Xun Jia; Peter Ziegenhein; Steve B Jiang
Journal:  Phys Med Biol       Date:  2014-02-03       Impact factor: 3.609

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