Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets
Prostate cancer is poorly visualized on ultrasonography (US) so that current biopsy requires either a templated technique or guidance after fusion of US with magnetic resonance imaging. Here we determined the ability for photoacoustic tomography (PAT) and US followed by texture-based image processin...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-09-01
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| Series: | Photoacoustics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213597918300089 |
| _version_ | 1818116639930974208 |
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| author | Brittani L. Bungart Lu Lan Pu Wang Rui Li Michael O. Koch Liang Cheng Timothy A. Masterson Murat Dundar Ji-Xin Cheng |
| author_facet | Brittani L. Bungart Lu Lan Pu Wang Rui Li Michael O. Koch Liang Cheng Timothy A. Masterson Murat Dundar Ji-Xin Cheng |
| author_sort | Brittani L. Bungart |
| collection | DOAJ |
| description | Prostate cancer is poorly visualized on ultrasonography (US) so that current biopsy requires either a templated technique or guidance after fusion of US with magnetic resonance imaging. Here we determined the ability for photoacoustic tomography (PAT) and US followed by texture-based image processing to identify prostate biopsy targets. K-means clustering feature learning and testing was performed on separate datasets comprised of 1064 and 1197 nm PAT and US images of intact, ex vivo human prostates. 1197 nm PAT was found to not contribute to the feature learning, and thus, only 1064 nm PAT and US images were used for final feature testing. Biopsy targets, determined by the tumor-assigned pixels’ center of mass, located 100% of the primary lesions and 67% of the secondary lesions. In conclusion, 1064 nm PAT and US texture-based feature analysis provided successful prostate biopsy targets. Keywords: Photoacoustic imaging, Prostate, Targeted biopsy, K-means clustering, Texture image processing |
| first_indexed | 2024-12-11T04:25:43Z |
| format | Article |
| id | doaj.art-7f280fd8ce0c495d97a1c7a855503e83 |
| institution | Directory Open Access Journal |
| issn | 2213-5979 |
| language | English |
| last_indexed | 2024-12-11T04:25:43Z |
| publishDate | 2018-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photoacoustics |
| spelling | doaj.art-7f280fd8ce0c495d97a1c7a855503e832022-12-22T01:20:59ZengElsevierPhotoacoustics2213-59792018-09-01114655Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targetsBrittani L. Bungart0Lu Lan1Pu Wang2Rui Li3Michael O. Koch4Liang Cheng5Timothy A. Masterson6Murat Dundar7Ji-Xin Cheng8Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Medical Scientist Training Program, Indiana University School of Medicine, Indianapolis, IN, USADepartment of Biomedical Engineering, Boston University, Boston, MA, USAVibronix Inc., West Lafayette, IN, USAWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Vibronix Inc., West Lafayette, IN, USADepartment of Urology, Indiana University School of Medicine, Indianapolis, IN, USADepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USADepartment of Urology, Indiana University School of Medicine, Indianapolis, IN, USAComputer and Information Science Department, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USADepartment of Biomedical Engineering, Boston University, Boston, MA, USA; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA; Corresponding author at: Boston University Photonics Center, Boston University, 8 St. Mary’s Street, Boston, MA, 02215, USA.Prostate cancer is poorly visualized on ultrasonography (US) so that current biopsy requires either a templated technique or guidance after fusion of US with magnetic resonance imaging. Here we determined the ability for photoacoustic tomography (PAT) and US followed by texture-based image processing to identify prostate biopsy targets. K-means clustering feature learning and testing was performed on separate datasets comprised of 1064 and 1197 nm PAT and US images of intact, ex vivo human prostates. 1197 nm PAT was found to not contribute to the feature learning, and thus, only 1064 nm PAT and US images were used for final feature testing. Biopsy targets, determined by the tumor-assigned pixels’ center of mass, located 100% of the primary lesions and 67% of the secondary lesions. In conclusion, 1064 nm PAT and US texture-based feature analysis provided successful prostate biopsy targets. Keywords: Photoacoustic imaging, Prostate, Targeted biopsy, K-means clustering, Texture image processinghttp://www.sciencedirect.com/science/article/pii/S2213597918300089 |
| spellingShingle | Brittani L. Bungart Lu Lan Pu Wang Rui Li Michael O. Koch Liang Cheng Timothy A. Masterson Murat Dundar Ji-Xin Cheng Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets Photoacoustics |
| title | Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets |
| title_full | Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets |
| title_fullStr | Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets |
| title_full_unstemmed | Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets |
| title_short | Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets |
| title_sort | photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets |
| url | http://www.sciencedirect.com/science/article/pii/S2213597918300089 |
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