Full-view photoacoustic tomography using asymmetric distributed sensors optimized with compressed sensing method

Recent advances toward preclinical and clinical translation of photoacoustic tomography: a review

“…From the boundary PA data, various reconstruction algorithms can be used for obtaining the initial pressure rise distribution inside the tissue. [138][139][140][141][142][143][144][145] Several advancements have happened in the last couple of years in the PAT reconstruction algorithms: (a) a least-square-based algorithm for accurate reconstruction with a fewer number of transducers, 146 (b) basis pursuit deconvolution algorithm to retain the structural information accurately, 147 (c) filtered-backprojection algorithm, 148 (d) single-stage algorithm for high quality (compared to traditional two-stage algorithms) PA imaging, 149 (e) pulse decomposition algorithm in the time-domain for weak, noisy PA signal reconstruction, 150 (f) an algorithm integrating focal-line-based 3-D image reconstruction with coherent weight to improve the elevation resolution of commercial linear UST array-based PAT, 151 (g) a multiview Hilbert transformation method for full-view PAT imaging using linear UST array, 63 (h) asymmetric DAQ optimized with compressed sensing method for full-view PAT, 152 and (i) improving tangential resolution in PAT with a modified delay-and-sum algorithm. 84,85 7 Conclusions and Future Directions…”

Fast photoacoustic imaging systems using pulsed laser diodes: a review

“…Several reconstruction algorithms have been development in parallel for PA image formation and display: (a) a model-based reconstruction [95][96][97][98], (b) filtered-back-projection algorithm [99], (c) single-stage algorithm [100], (e) pulse decomposition algorithm [101], (e) focal-linebased 3-D image reconstruction algorithm [102], (e) a multi-view Hilbert transformation [103], (f) algorithm based on compressed sensing [104], and (g) simple delayand-sum algorithm [105,106]. Some of these reconstruction algorithms are computationally expensive and slow, therefore, efforts are ongoing for developing fast, efficient, real-time reconstruction methods.…”

Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review

“…Photoacoustic imaging breaks through the diffusion limit of highresolution optical imaging (~1 mm) by using electromagnetic energy induced ultrasonic waves as a carrier to obtain optical absorption information of tissue [11,12]. PAI, being a relatively new imaging modality, can effectively realize the structural and functional information of the biological tissue, providing a powerful imaging tool for studying the morphological structure, physiological, pathological characteristics, and metabolic functions in biological tissues [13][14][15].…”