Supervised segmentation of polycystic kidneys: a new application for stereology data
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Updated: May 2, 2026
Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys
Published on: August 12, 2021
Joshua D Warner1, Maria V Irazabal, Ganapathy Krishnamurthi
1Mayo Clinic Department of Biomedical Engineering, Mayo Graduate School, Mayo Medical School and the Mayo Clinic Medical Scientist Training Program, 200 First Street SW, Rochester, MN, 55905, USA, warner.joshua@mayo.edu.
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.
