Paper
9 March 2018 The first freely available open source software package for performing 3D image reconstruction for digital breast tomosynthesis
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Abstract
Digital Breast Tomosynthesis (DBT) improves the visibility of cancerous lesions as compared to 2D full-field digital mammography (FFDM) by removing the overlap in breast tissues. An integral and computationally demanding part of the DBT image acquisition process is the reconstruction of the volume from projections. To facilitate further research towards improving DBT technology, it is essential to have access to image reconstruction software that generates volumes within a reasonable amount of time. We have developed an open source version of the filtered back-projection (FBP) reconstruction algorithm for DBT using single-threaded C. This is an extention to the C codes developed by Leeser et al. for cone-beam computed tomography (CBCT) reconstruction. For each projection angle, the DBT projection view was interpolated to create an estimation of the corresponding CT projection view for that angle. The estimated CT projection views were then filtered and backprojected to generate the DBT volume. We tested our implementation using mathematical and anatomical phantom data and compared the results with a previously verified MATLAB implementation. We observed negligible relative differences between the DBT reconstruction by both methods with a considerable increase (up to 9 times faster) in speed over the MATLAB code.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aunnasha Sengupta, Rongping Zeng, Diksha Sharma, and Aldo Badano "The first freely available open source software package for performing 3D image reconstruction for digital breast tomosynthesis", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105735M (9 March 2018); https://doi.org/10.1117/12.2293146
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Cited by 2 scholarly publications.
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KEYWORDS
Digital breast tomosynthesis

MATLAB

Reconstruction algorithms

Algorithm development

Breast

Image processing

3D image reconstruction

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