2015
DOI: 10.1117/12.2081931
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Adapted fan-beam volume reconstruction for stationary digital breast tomosynthesis

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Cited by 11 publications
(11 citation statements)
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“…Images were reconstructed using adapted fan-beam volume reconstruction (AFVR) 16 . Utilizing the linear source geometry used in the s-DCT system, AFVR breaks the 3D cone beam reconstruction into a series of 2D fan-beam volume reconstructions.…”
Section: Reconstruction Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Images were reconstructed using adapted fan-beam volume reconstruction (AFVR) 16 . Utilizing the linear source geometry used in the s-DCT system, AFVR breaks the 3D cone beam reconstruction into a series of 2D fan-beam volume reconstructions.…”
Section: Reconstruction Methodsmentioning
confidence: 99%
“…14 A stationary digital breast tomosynthesis (s-DBT) using a CNT x-ray source array has been successfully developed and installed in the University of North Carolina's Women's Hospital for clinical trials. [15][16][17] Using the x-ray source array, the stationary digital chest tomosynthesis (s-DCT) system can achieve full angular coverage in tomosynthesis imaging with no moving parts. 14,[18][19][20] Previous studies on the stability and geometry of the s-DCT system have been published.…”
Section: Introductionmentioning
confidence: 99%
“…Utilizing the linear source geometry used in s-DCT, the AFVR algorithm breaks the 3D cone-beam reconstructions into a series of 2D fan-beam volume reconstruction, which significantly improves the reconstruction speed with a superior image quality over the classical filtered backprojection algorithm 6 . 20 iterations was used for each fan-beam reconstruction.…”
Section: Image Reconstructionmentioning
confidence: 99%
“…By leveraging the unique linearly distributed source geometry in s-DCT we have also developed a fast iterative reconstruction algorithm, namely adapted fan-beam volume reconstruction (AFVR) 6 . AFVR is specially optimized for s-DCT, it offers an order of magnitude faster computation speed than other conventional reconstruction algorithm with similar or better image quality.…”
Section: Introductionmentioning
confidence: 99%
“…44 Reconstruction of the 3D data set was broken down into a series of 2D slice reconstructions. This approach was taken to increase reconstruction speed and reduce memory usage.…”
Section: Reconstructionmentioning
confidence: 99%