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Enhancing Mesh-based Photoacoustic Tomography with Parallel Computing on Multiprocessor Scheme
Yao Sun1,2; Zhen Yuan1,3; Huaibei Jiang1
2018-09
Source PublicationCOMMUNICATIONS IN COMPUTATIONAL PHYSICS
ISSN1815-2406
Volume24Issue:3Pages:764-773
Abstract

Photoacoustic tomography is an emerging technique in biomedicine that is capable of visualizing high resolution structural and functional information of tissue up to several centimeters deep. Mesh based numerical reconstruction algorithms have an unrivaled advantage over other reconstruction algorithms in photoacoustic imaging, due to its accurate mathematical modeling and the capability to recover multiple optical/acoustic parameters in the reconstruction. However the slow reconstruction speed and huge memory cost hindered this advanced reconstruction algorithm from application areas where large scale reconstruction or real/near-real time reconstruction is required, for example, sub-millimeter or micrometer resolution imaging, photoacoustic guided cancer treatment, etc. In this study, we reported a high performance photoacoustic tomography method based on parallel computing strategy with multiprocessor scheme. Our simulation result has shown that the parallelized photoacoustic tomography method using multiprocessor scheme is capable of providing fine reconstructed images of blood vessel structures up to 0.14mm in diameter. Further phantom experiment demonstrated that cross hairs can be clearly reconstructed, when a mesh comprised of 28512 triangle finite elements is used. Therefore, our multiprocessor based parallelized photoacoustic tomography might be promising for large scale reconstruction or real/near-real time reconstruction in biomedical application of mesh-based photoacoustic tomography algorithm.

KeywordPhotoacoustic Tomography Finite Element Method Parallel Computing
DOI10.4208/cicp.OA-2017-0086
Indexed BySCIE
Language英语
WOS Research AreaPhysics
WOS SubjectPhysics, Mathematical
WOS IDWOS:000455956200008
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Health Sciences
INSTITUTE OF COLLABORATIVE INNOVATION
Corresponding AuthorYao Sun; Zhen Yuan; Huaibei Jiang
Affiliation1.DepartmentofBiomedicalEngineering, UniversityofFlorida,Gainesville, FL32611, USA
2.Department of Radiology, Wake Forest University Baptist Medical Center, Winston Salem, NC 27157, USA
3.Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, China
Corresponding Author AffilicationFaculty of Health Sciences
Recommended Citation
GB/T 7714
Yao Sun,Zhen Yuan,Huaibei Jiang. Enhancing Mesh-based Photoacoustic Tomography with Parallel Computing on Multiprocessor Scheme[J]. COMMUNICATIONS IN COMPUTATIONAL PHYSICS,2018,24(3):764-773.
APA Yao Sun,Zhen Yuan,&Huaibei Jiang.(2018).Enhancing Mesh-based Photoacoustic Tomography with Parallel Computing on Multiprocessor Scheme.COMMUNICATIONS IN COMPUTATIONAL PHYSICS,24(3),764-773.
MLA Yao Sun,et al."Enhancing Mesh-based Photoacoustic Tomography with Parallel Computing on Multiprocessor Scheme".COMMUNICATIONS IN COMPUTATIONAL PHYSICS 24.3(2018):764-773.
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