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Multi-angle data acquisition to compensate transducer finite size in photoacoustic tomography.


ABSTRACT: In photoacoustic tomography (PAT) systems, the tangential resolution decreases due to the finite size of the transducer as the off-center distance increases. To address this problem, we propose a multi-angle detection approach in which the transducer used for data acquisition rotates around its center (with specific angles) as well as around the scanning center. The angles are calculated based on the central frequency and diameter of the transducer and the radius of the region-of-interest (ROI). Simulations with point-like absorbers (for point-spread-function evaluation) and a vasculature phantom (for quality assessment), and experiments with ten 0.5 mm-diameter pencil leads and a leaf skeleton phantom are used for evaluation of the proposed approach. The results show that a location-independent tangential resolution is achieved with 150 spatial sampling and central rotations with angles of ±8°/±16°. With further developments, the proposed detection strategy can replace the conventional detection (rotating a transducer around ROI) in PAT.

SUBMITTER: Hakakzadeh S 

PROVIDER: S-EPMC9157198 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Multi-angle data acquisition to compensate transducer finite size in photoacoustic tomography.

Hakakzadeh Soheil S   Mozaffarzadeh Moein M   Mostafavi Seyed Masood SM   Kavehvash Zahra Z   Rajendran Praveenbalaji P   Verweij Martin M   de Jong Nico N   Pramanik Manojit M  

Photoacoustics 20220521


In photoacoustic tomography (PAT) systems, the tangential resolution decreases due to the finite size of the transducer as the off-center distance increases. To address this problem, we propose a multi-angle detection approach in which the transducer used for data acquisition rotates around its center (with specific angles) as well as around the scanning center. The angles are calculated based on the central frequency and diameter of the transducer and the radius of the region-of-interest (ROI).  ...[more]

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