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

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 nephr...

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Published in:Journal of Digital Imaging Vol. 23; no. 3; pp. 323 - 332
Main Authors: Rangayyan RM, Kamenetsky I, Benediktsson H
Format: pictorial research tables/charts Journal Article
Published: Springer Nature Jun2010
Online Access:View this record in EBSCOhost
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      jtl: Journal of Digital Imaging
      issn: 08971889
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      dt: Jun2010
      vid: 23
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      pub: Springer Nature
      place: New York, New York
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        105202687
        2010656975
        10.1007/s10278-009-9188-6
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        atl: Segmentation and analysis of the glomerular basement membrane in renal biopsy samples using active contours: a pilot study.
      aug:
        au:
          Rangayyan RM
          Kamenetsky I
          Benediktsson H
        affil: Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4.
      sug:
        subj:
          Basement Membrane Analysis
          Image Processing, Computer Assisted
          Kidney Glomerulus Analysis
          Microscopy, Electron Methods
          Adult
          Aged, 80 and Over
          Algorithms
          Biopsy
          Female
          Graphical User Interface
          Human
          Male
          Middle Age
          Pilot Studies
          Adult: 19-44 years
          Aged, 80 & over
          Middle Aged: 45-64 years
          Female
          Male
      ab: 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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