4.6 Article

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

期刊

JOURNAL OF DIGITAL IMAGING
卷 27, 期 4, 页码 514-519

出版社

SPRINGER
DOI: 10.1007/s10278-014-9679-y

关键词

3D segmentation; Digital image processing; Biomedical image analysis; Fuzzy logic; Image segmentation; 3D imaging (three-dimensional imaging); Boundary extraction; Segmentation; Magnetic resonance imaging; MR imaging; Data extraction; Image analysis; Polycystic kidney disease; Python; Planimetry

资金

  1. NIH
  2. NIDDK [F30DK098832, P30DK090728]

向作者/读者索取更多资源

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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