Characterizing intestinal strictures with acoustic resolution photoacoustic microscopy

Hao Lei; Guan Xu; Shengchun Liu; Laura A. Johnson; David S. Moons; Peter D. R. Higgins; Michael D. Rice; Jun Ni; Xueding Wang

doi:10.1117/12.2208902

15 March 2016 Characterizing intestinal strictures with acoustic resolution photoacoustic microscopy

Hao Lei, Guan Xu, Shengchun Liu, Laura A. Johnson, David S. Moons, Peter D. R. Higgins, Michael D. Rice, Jun Ni, Xueding Wang

Author Affiliations +

Proceedings Volume 9708, Photons Plus Ultrasound: Imaging and Sensing 2016; 97080K (2016) https://doi.org/10.1117/12.2208902
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Crohn’s disease (CD) is an autoimmune disease, which may cause obstructing intestinal strictures due to inflammation, fibrosis (deposition of collagen), or a combination of both. Identifying the different stages of the disease progression is still challenging. In this work, we indicated the feasibility of non-invasively characterizing intestinal strictures using photoacoustic imaging (PAI), utilizing the uniquely optical absorption of hemoglobin and collagen. Surgically removed human intestinal stricture specimens were investigated with a prototype PAI system. 2D PA images with acoustic resolution at wavelength 532, 1210 and 1310 nm were formulated, and furthermore, the PA histochemical components images which show the microscopic distributions of histochemical components were solved. Imaging experiments on surgically removed human intestinal specimens has demonstrated the solved PA images were significantly different associated with the presence of fibrosis, which could be applied to characterize the intestinal strictures for given specimens.

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Citation Download Citation

Hao Lei, Guan Xu, Shengchun Liu, Laura A. Johnson, David S. Moons, Peter D. R. Higgins, Michael D. Rice, Jun Ni, and Xueding Wang "Characterizing intestinal strictures with acoustic resolution photoacoustic microscopy", Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97080K (15 March 2016); https://doi.org/10.1117/12.2208902

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