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Back-projection algorithm in generalized form for circular-scanning-based photoacoustic tomography with improved tangential resolution
Author(s) -
Bo Wang,
Tianning Su,
Weiran Pang,
Ningning Wei,
Jiaying Xiao,
Ke Peng
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.03.12
Subject(s) - transducer , planar , projection (relational algebra) , detector , robustness (evolution) , algorithm , iterative reconstruction , tomography , radon transform , computer science , finite element method , point (geometry) , mathematics , optics , computer vision , acoustics , geometry , physics , biochemistry , chemistry , computer graphics (images) , gene , thermodynamics
The back-projection algorithm is the most common method for the reconstruction of circular-scanning-based photoacoustic tomography (CSPAT) due to its simplicity, computational efficiency, and robustness. It usually can be implemented in two models: one for ideal point detector, and the other for planar transducer with infinite element size. However, because most transducers in CSPAT are planar with a finite size, the off-center targets will be blurred in the tangential direction with these two reconstruction models.

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