Share Email Print
cover

Proceedings Paper

Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Acute Glomerulonephritis caused by anti-glomerular basement membrane disease has a high mortality due to delayed diagnosis. Thus, an accurate and early diagnosis is critical for preserving renal function. Currently, blood, urine, and tissue-based diagnoses can be time consuming, while ultrasound and CT imaging have relatively low spatial resolution. Optical coherence tomography (OCT) is a noninvasive imaging technique that provides superior spatial resolution (micron scale) as compared to ultrasound and CT. Pathological changes in tissue properties can be detected based on the optical metrics analyzed from the OCT signal, such as optical attenuation and speckle variance. Moreover, OCT does not rely on ionizing radiation as with CT imaging. In addition to structural changes, the elasticity of the kidney can significantly change due to nephritis. In this work, we utilized OCT to detect the difference in tissue properties between healthy and nephritic murine kidneys. Although OCT imaging could identify the diseased tissue, classification accuracy using only optical metrics was clinically inadequate. By combining optical metrics with elasticity, the classification accuracy improved from 76% to 95%. These results show that OCT combined with OCE can be potentially useful for nephritis detection.

Paper Details

Date Published: 9 March 2016
PDF: 7 pages
Proc. SPIE 9710, Optical Elastography and Tissue Biomechanics III, 97100M (9 March 2016); doi: 10.1117/12.2208485
Show Author Affiliations
Chih-Hao Liu, Univ. of Houston (United States)
Yong Du, Univ. of Houston (United States)
Manmohan Singh, Univ. of Houston (United States)
Chen Wu, Univ. of Houston (United States)
Zhaolong Han, Univ. of Houston (United States)
Jiasong Li, Univ. of Houston (United States)
Qais Mohammadzai, Univ. of Houston (United States)
Raksha Raghunathan, Univ. of Houston (United States)
Thomas Hsu, Univ. of Houston (United States)
Shezaan Noorani, Univ. of Houston (United States)
Anthony Chang, The Univ. of Chicago (United States)
Chandra Mohan, Univ. of Houston (United States)
Kirill V. Larin, Univ. of Houston (United States)
Samara State Aerospace Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9710:
Optical Elastography and Tissue Biomechanics III
Kirill V. Larin; David D. Sampson, Editor(s)

© SPIE. Terms of Use
Back to Top