Evaluation of 10 current image reconstruction algorithms for linear array photoacoustic imaging

• Published in: Journal of biophotonics Vol. 17; no. 3; pp. e202300117 - n/a
• Main Authors: Prakash, Ravi, Manwar, Rayyan, Avanaki, Kamran
• Format: Journal Article
• Language: English
• Published: Weinheim WILEY‐VCH Verlag GmbH & Co. KGaA 01.03.2024; Wiley Subscription Services, Inc
• Subjects: Algorithms; Computing time; Image processing; Image reconstruction; image reconstruction algorithms; linear array transducer; Linear arrays; Medical imaging; Noise sensitivity; Performance evaluation; photoacoustic imaging; linear array transducer; photoacoustic imaging; image reconstruction algorithms
• ISSN: 1864-063X; 1864-0648; 1864-0648
• DOI: 10.1002/jbio.202300117

Various reconstruction algorithms have been implemented for linear array photoacoustic imaging systems with the goal of accurately reconstructing the strength absorbers within the tissue being imaged. Since the existing algorithms have been introduced by different research groups and the context of performance evaluation was not consistent, it is difficult to make a fair comparison between them. In this study, we systematically compared the performance of 10 published image reconstruction algorithms (DAS, UBP, pDAS, DMAS, MV, EIGMV, SLSC, GSC, TR, and FD) using in‐vitro phantom data. Evaluations were conducted based on lateral resolution of the reconstructed images, computational time, target detectability, and noise sensitivity. We anticipate the outcome of this study will assist researchers in selecting appropriate algorithms for their linear array PA imaging applications. Reconstructed photoacoustic images of blood‐filled tubes in intralipid medium.