PATLAB: A graphical computational software package for photoacoustic computed tomography research

被引：7

作者：

Omidia, P. ^{[1
,2
]}

Yip, L. C. M. ^{[1
,3
]}

Rascevska, E. ^{[1
,2
]}

Diop, M. ^{[1
,2
,3
]}

Carson, J. J. L. ^{[1
,2
,3
,4
]}

机构：

[1] Lawson Hlth Res Inst, Imaging Program, 268 Grosvenor St, London, ON N6A 4V2, Canada

[2] Western Univ, Sch Biomed Engn, 1151 Richmond St, London, ON N6A 3K7, Canada

[3] Western Univ, Schulich Sch Med & Dent, Dept Med Biophys, 1151 Richmond St, London, ON N6A 3K7, Canada

[4] Western Univ, Schulich Sch Med & Dent, Dept Surg, 1151 Richmond St, London, ON N6A 3K7, Canada

来源：

PHOTOACOUSTICS | 2022年 / 28卷

基金：

加拿大自然科学与工程研究理事会; 加拿大健康研究院;

关键词：

Photoacoustic tomography; Image reconstruction; Back projection; Filtered back projection; Universal back projection; Time reversal;

D O I：

10.1016/j.pacs.2022.100404

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Photoacoustic tomography (PAT) provides high resolution optical images of tissue at depths of up to several centimetres. This modality has been of interest to researchers for at least 30 years and is still the subject of intensive research. However, PAT researchers lack access to a comprehensive open-source graphical simulation and reconstruction software package. In this article, we introduce PATLAB, an open-source MATLAB-based graphical software package that can perform both PAT simulation and image reconstruction. PATLAB is simple to use yet is capable of complex PAT data processing tasks and offers advanced users a framework to build and test new methods.

引用

页数：9

共 13 条

[1] Photoacoustic imaging platforms for multimodal imaging [J].

Kim, Jeesu ;

Lee, Donghyun ;

Jung, Unsang ;

Kim, Chulhong .

ULTRASONOGRAPHY, 2015, 34 (02) :88-97

[2] Photoacoustic tomography and sensing in biomedicine [J].

Li, Changhui ;

Wang, Lihong V. .

PHYSICS IN MEDICINE AND BIOLOGY, 2009, 54 (19) :R59-R97

[3] Optoacoustic Imaging and Tomography: Reconstruction Approaches and Outstanding Challenges in Image Performance and Quantification [J].

Lutzweiler, Christian ;

Razansky, Daniel .

SENSORS, 2013, 13 (06) :7345-7384

[4] ADAPTIVE FOCUSING IN SCATTERING MEDIA THROUGH SOUND-SPEED INHOMOGENEITIES - THE VANCITTERT-ZERNIKE APPROACH AND FOCUSING CRITERION [J].

MALLART, R ;

FINK, M .

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1994, 96 (06) :3721-3732

[5]

OKelly D., 2021, SCI REP-UK, V11, P1

[6] A Novel Dictionary-Based Image Reconstruction for Photoacoustic Computed Tomography [J].

Omidi, Parsa ;

Zafar, Mohsin ;

Mozaffarzadeh, Moein ;

Hariri, Ali ;

Haung, Xiangzhi ;

Orooji, Mahdi ;

Nasiriavanaki, Mohammadreza .

APPLIED SCIENCES-BASEL, 2018, 8 (09)

[7] Improvement of 3D Ultrasound Computer Tomography Images by Signal Pre-Processing [J].

Ruiter, N. V. ;

Schwarzenberg, G. F. ;

Zapf, M. ;

Gemmeke, H. .

2008 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4 AND APPENDIX, 2008, :852-855

[8] Negativity artifacts in back-projection based photoacoustic tomography [J].

Shen, Kang ;

Liu, Songde ;

Feng, Ting ;

Yuan, Jie ;

Zhu, Benpeng ;

Tian, Chao .

JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2021, 54 (07)

[9] k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields [J].

Treeby, Bradley E. ;

Cox, B. T. .

JOURNAL OF BIOMEDICAL OPTICS, 2010, 15 (02)

[10] Universal back-projection algorithm for photoacoustic computed tomography [J].

Xu, MH ;

Wang, LHV .

PHYSICAL REVIEW E, 2005, 71 (01)

← 1 2 →