Literature DB >> 19225841

Segmentation and analysis of the glomerular basement membrane in renal biopsy samples using active contours: a pilot study.

Rangaraj M Rangayyan1, Ilya Kamenetsky, Hallgrimur Benediktsson.   

Abstract

Some renal diseases cause changes in the structure of the glomerular basement membranes (GBM). Measurement of the thickness of the GBM can be performed on transmission electron microscopy (TEM) images of renal biopsy samples. Increased thickness of the GBM is observed in patients with diabetic nephropathy. Abnormally thin GBMs are associated with hematuria. We propose image processing methods for the detection and measurement of the GBM. The methods include edge detection, morphological image processing, active contour modeling, skeletonization, and statistical analysis of the width of the GBM. In the present pilot study, the methods were tested with 34 TEM images of six patients. The estimated mean and standard deviation of the GBM width for a patient with normal GBM were 348 +/- 135 nm; those for a patient with thin GBMs due to hematuria were 227 +/- 94 nm; and those for a patient with diabetic nephropathy were 1,152 +/- 411 nm. Comparison with manual measurements by an experienced renal pathologist indicated low error in the range of 36 +/- 11 nm.

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Year:  2009        PMID: 19225841      PMCID: PMC3046653          DOI: 10.1007/s10278-009-9188-6

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  14 in total

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Journal:  Hum Pathol       Date:  1986-10       Impact factor: 3.466

Review 10.  Podocyte biology in diabetic nephropathy.

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Journal:  Kidney Int Suppl       Date:  2007-08       Impact factor: 10.545

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  3 in total

1.  A knowledge-based approach for carpal tunnel segmentation from magnetic resonance images.

Authors:  Hsin-Chen Chen; Yi-Ying Wang; Cheng-Hsien Lin; Chien-Kuo Wang; I-Ming Jou; Fong-Chin Su; Yung-Nien Sun
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

2.  Analysis of the glomerular basement membrane in images of renal biopsies using the split-and-merge method: a pilot study.

Authors:  Ilya Kamenetsky; Rangaraj M Rangayyan; Hallgrimur Benediktsson
Journal:  J Digit Imaging       Date:  2009-09-04       Impact factor: 4.056

3.  A novel glomerular basement membrane segmentation using neutrsophic set and shearlet transform on microscopic images.

Authors:  Yanhui Guo; Amira S Ashour; Baiqing Sun
Journal:  Health Inf Sci Syst       Date:  2017-11-09
  3 in total

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