Assessment of photoacoustic computed tomography to classify tissue in a polycystic-kidney disease mouse model

Bo Liu; Vincent H. Gattone II; Robert A. Kruger; Keith M. Stantz

doi:10.1117/12.646180

6 March 2006 Assessment of photoacoustic computed tomography to classify tissue in a polycystic-kidney disease mouse model

Bo Liu, Vincent H. Gattone II, Robert A. Kruger, Keith M. Stantz

Author Affiliations +

Proceedings Volume 6086, Photons Plus Ultrasound: Imaging and Sensing 2006: The Seventh Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics; 608607 (2006) https://doi.org/10.1117/12.646180
Event: SPIE BiOS, 2006, San Jose, California, United States

Abstract

Purpose: The purpose of this study is to evaluate PCT Imaging technique to classify tissue and extract kidney cysts in pcy mice model of human adolescent nephronophthisis. Method: Four mice with late stages of nephronophthisis with polycystic kidney disease-PKD and one normal mouse were scanned in the PCT Small Animal Scanner. Both vivo and ex-vivo images of mice kidney were taken at wavelength from 680 nm to 940 nm. The ex-vivo PCT images were compared with histology photographs to check the sensitivity of detecting cysts. Histograms of kidney images were generated over slices and fitted to Gaussian-curve model for volumetric analysis. The portions of cysts in kidneys were estimated and kidney images were segmented by three different colors to present the distribution of different tissues. Result: A good correspondence between PCT imaging findings and PKD histology result was observed. Histogram curves from images of pcy kidneys and normal kidneys were fitted to Gaussian-curve model. Portions of cysts, parenchyma and area of high level hemoglobin were estimated according to the curve fit result. A growth of cysts associated with relatively volume decrease of parenchyma and tissues with high perfusion of hemoglobin was observed. Conclusion: The PCT enabled visualization of renal cysts for mouse model and had the potential for volumetric measurements of kidney.

Citation Download Citation

Bo Liu, Vincent H. Gattone II, Robert A. Kruger, and Keith M. Stantz "Assessment of photoacoustic computed tomography to classify tissue in a polycystic-kidney disease mouse model", Proc. SPIE 6086, Photons Plus Ultrasound: Imaging and Sensing 2006: The Seventh Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics, 608607 (6 March 2006); https://doi.org/10.1117/12.646180

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