%0 Journal Article
%T Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets
%A Brittani L. Bungart
%A Ji-Xin Cheng
%A Liang Cheng
%A Lu Lan
%A Michael O. Koch
%A Murat Dundar
%A Pu Wang
%A Rui Li
%A Timothy A. Masterson
%J Archive of "Photoacoustics".
%D 2018
%R 10.1016/j.pacs.2018.07.006
%X 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
%K Photoacoustic imaging
%K Prostate
%K Targeted biopsy
%K K-means clustering
%K Texture image processing
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088561/