Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification

Chih Hao Liu, Yong Du, Manmohan Singh, Chen Wu, Zhaolong Han, Jiasong Li, Qais Mohammadzai, Raksha Raghunathan, Thomas Hsu, Shezaan Noorani, Anthony Chang, Chandra Mohan, Kirill V. Larin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationOptical Elastography and Tissue Biomechanics III
PublisherSPIE
Volume9710
ISBN (Electronic)9781628419443
DOIs
StatePublished - 2016
EventOptical Elastography and Tissue Biomechanics III - San Francisco, United States
Duration: Feb 13 2016Feb 15 2016

Other

OtherOptical Elastography and Tissue Biomechanics III
CountryUnited States
CitySan Francisco
Period2/13/162/15/16

Fingerprint

Elasticity Imaging Techniques
Optical tomography
Optical Coherence Tomography
Glomerulonephritis
tomography
nephritis
Tissue
Kidney
Imaging techniques
Nephritis
Elasticity
kidneys
elastic properties
spatial resolution
Ultrasonics
renal function
Anti-Glomerular Basement Membrane Disease
urine
mortality
Delayed Diagnosis

Keywords

  • elastic wave velocity
  • elasticity optical coherence elastography
  • glomerulonephritis
  • optical attenuation
  • speckle variance
  • Young's modulus

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Liu, C. H., Du, Y., Singh, M., Wu, C., Han, Z., Li, J., ... Larin, K. V. (2016). Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification. In Optical Elastography and Tissue Biomechanics III (Vol. 9710). [97100M] SPIE. https://doi.org/10.1117/12.2208485

Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification. / Liu, Chih Hao; Du, Yong; Singh, Manmohan; Wu, Chen; Han, Zhaolong; Li, Jiasong; Mohammadzai, Qais; Raghunathan, Raksha; Hsu, Thomas; Noorani, Shezaan; Chang, Anthony; Mohan, Chandra; Larin, Kirill V.

Optical Elastography and Tissue Biomechanics III. Vol. 9710 SPIE, 2016. 97100M.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, CH, Du, Y, Singh, M, Wu, C, Han, Z, Li, J, Mohammadzai, Q, Raghunathan, R, Hsu, T, Noorani, S, Chang, A, Mohan, C & Larin, KV 2016, Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification. in Optical Elastography and Tissue Biomechanics III. vol. 9710, 97100M, SPIE, Optical Elastography and Tissue Biomechanics III, San Francisco, United States, 2/13/16. https://doi.org/10.1117/12.2208485
Liu CH, Du Y, Singh M, Wu C, Han Z, Li J et al. Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification. In Optical Elastography and Tissue Biomechanics III. Vol. 9710. SPIE. 2016. 97100M https://doi.org/10.1117/12.2208485
Liu, Chih Hao ; Du, Yong ; Singh, Manmohan ; Wu, Chen ; Han, Zhaolong ; Li, Jiasong ; Mohammadzai, Qais ; Raghunathan, Raksha ; Hsu, Thomas ; Noorani, Shezaan ; Chang, Anthony ; Mohan, Chandra ; Larin, Kirill V. / Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification. Optical Elastography and Tissue Biomechanics III. Vol. 9710 SPIE, 2016.
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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.",
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