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Journal of Imaging Informatics in Medicine

Erschienen in:

01.08.2014

Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data

verfasst von: Joshua D. Warner, Maria V. Irazabal, Ganapathy Krishnamurthi, Bernard F. King, Vicente E. Torres, Bradley J. Erickson

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 4/2014

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Abstract

Stereology is a volume estimation method, typically applied to diagnostic imaging examinations in population studies where planimetry is too time-consuming (Chapman et al. Kidney Int 64:1035–1045, 2003), to obtain quantitative measurements (Nyengaard J Am Soc Nephrol 10:1100–1123, 1999, Michel and Cruz-Orive J Microsc 150:117–136, 1988) of certain structures or organs. However, true segmentation is required in order to perform advanced analysis of the tissues. This paper describes a novel method for segmentation of region(s) of interest using stereology data as prior information. The result is an efficient segmentation method for structures that cannot be easily segmented using other methods.

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Titel: Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data
verfasst von: Joshua D. Warner
Maria V. Irazabal
Ganapathy Krishnamurthi
Bernard F. King
Vicente E. Torres
Bradley J. Erickson
Publikationsdatum: 01.08.2014
Verlag: Springer US
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 4/2014
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-014-9679-y

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