Literature DB >> 17500478

Hyperfast parallel-beam and cone-beam backprojection using the cell general purpose hardware.

Marc Kachelriess1, Michael Knaup, Olivier Bockenbach.   

Abstract

Tomographic image reconstruction, such as the reconstruction of computed tomography projection values, of tomosynthesis data, positron emission tomography or SPECT events, and of magnetic resonance imaging data is computationally very demanding. One of the most time-consuming steps is the backprojection. Recently, a novel general purpose architecture optimized for distributed computing became available: the cell broadband engine (CBE). To maximize image reconstruction speed we modified our parallel-beam backprojection algorithm [two dimensional (2D)] and our perspective backprojection algorithm [three dimensional (3D), cone beam for flat-panel detectors] and optimized the code for the CBE. The algorithms are pixel or voxel driven, run with floating point accuracy and use linear (LI) or nearest neighbor (NN) interpolation between detector elements. For the parallel-beam case, 512 projections per half rotation, 1024 detector channels, and an image of size 512(2) was used. The cone-beam backprojection performance was assessed by backprojecting a full circle scan of 512 projections of size 1024(2) into a volume of size 512(3) voxels. The field of view was chosen to completely lie within the field of measurement and the pixel or voxel size was set to correspond to the detector element size projected to the center of rotation divided by square root of 2. Both the PC and the CBE were clocked at 3 GHz. For the parallel backprojection of 512 projections into a 512(2) image, a throughput of 11 fps (LI) and 15 fps (NN) was measured on the PC, whereas the CBE achieved 126 fps (LI) and 165 fps (NN), respectively. The cone-beam backprojection of 512 projections into the 512(3) volume took 3.2 min on the PC and is as fast as 13.6 s on the cell. Thereby, the cell greatly outperforms today's top-notch backprojections based on graphical processing units. Using both CBEs of our dual cell-based blade (Mercury Computer Systems) allows to 2D backproject 330 images/s and one can complete the 3D cone-beam backprojection in 6.8 s.

Entities:  

Mesh:

Year:  2007        PMID: 17500478     DOI: 10.1118/1.2710328

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  17 in total

1.  Development of a GPU-based multithreaded software application to calculate digitally reconstructed radiographs for radiotherapy.

Authors:  Shinichiro Mori; Masanao Kobayashi; Motoki Kumagai; Shinichi Minohara
Journal:  Radiol Phys Technol       Date:  2008-11-07

2.  Comparing implementations of penalized weighted least-squares sinogram restoration.

Authors:  Peter Forthmann; Thomas Koehler; Michel Defrise; Patrick La Riviere
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  Radiation dose reduction in computed tomography: techniques and future perspective.

Authors:  Lifeng Yu; Xin Liu; Shuai Leng; James M Kofler; Juan C Ramirez-Giraldo; Mingliang Qu; Jodie Christner; Joel G Fletcher; Cynthia H McCollough
Journal:  Imaging Med       Date:  2009-10

4.  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

5.  Validation of a Monte Carlo tool for patient-specific dose simulations in multi-slice computed tomography.

Authors:  Paul Deak; Marcel van Straten; Paul C Shrimpton; Maria Zankl; Willi A Kalender
Journal:  Eur Radiol       Date:  2007-12-08       Impact factor: 5.315

6.  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

7.  Real-time X-ray-based 4D image guidance of minimally invasive interventions.

Authors:  Jan Kuntz; Rajiv Gupta; Stefan O Schönberg; Wolfhard Semmler; Marc Kachelrieß; Sönke Bartling
Journal:  Eur Radiol       Date:  2013-01-12       Impact factor: 5.315

Review 8.  Current status and future prospects of multi-dimensional image-guided particle therapy.

Authors:  Shinichiro Mori; Silvan Zenklusen; Antje-Christin Knopf
Journal:  Radiol Phys Technol       Date:  2013-02-19

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

10.  Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization.

Authors:  Emil Y Sidky; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2008-08-13       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.