DocumentCode
699592
Title
Matehematic morphology approach for renal biopsy analysis
Author
Marques, Ferran ; Cuberas, Gemma ; Gasull, Antoni ; Seron, Daniel ; Moreso, Francesc ; Joshi, Nayana
Author_Institution
Tech. Univ. of Catalonia, Barcelona, Spain
fYear
2004
fDate
6-10 Sept. 2004
Firstpage
2195
Lastpage
2198
Abstract
This paper proposes a new technique for the analysis of renal biopsies stained with Sirius red and digitized under non-polarized light. The renal interstitial space, the cortex area and the tubules should be segmented to allow the estimation of the renal cortical interstitial volume fraction and the parameters characterizing the tubule distribution. In this paper, a totally automatic algorithm is proposed that relies on mathematic morphology tools. The proposed algorithm has been assessed in a large number of biopsies leading to similar results to those obtained by the manual approach.
Keywords
biomedical optical imaging; image segmentation; kidney; light polarisation; mathematical morphology; medical image processing; Sirius red; cortex area; image segmentation; mathematic morphology; nonpolarized light; renal biopsy analysis; renal cortical interstitial volume fraction; renal interstitial space; renal tubules; totally automatic algorithm; Abstracts; Mathematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2004 12th European
Conference_Location
Vienna
Print_ISBN
978-320-0001-65-7
Type
conf
Filename
7080122
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