The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography

Autor: Zezheng Qin, Yang Liu, Junke Chi, Yiming Ma, Mingjian Sun
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Innovative Optical Health Sciences, Vol 15, Iss 05 (2022)
Druh dokumentu: article
ISSN: 17935458
1793-7205
1793-5458
DOI: 10.1142/S1793545822500304
Popis: Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse signals from undersampled measurements. We aim to develop an advanced sparse imaging framework for PACT, which invloves the use of SA to find an optimal sparse array element distribution and CS to perform sparse imaging. PACT reconstructions were performed using a dummy and porcine liver phantoms. Compared to traditional sparse reconstruction algorithms, the proposed method recovers signals using few ultrasonic transducer elements, enabling high-speed, low-cost PACT for practical application.
Databáze: Directory of Open Access Journals
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