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
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;
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7