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Metrology and Measurement Systems

The Journal of Committee on Metrology and Scientific Instrumentation of Polish Academy of Sciences

4 Issues per year


IMPACT FACTOR 2016: 1.598

CiteScore 2016: 1.58

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Online
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2300-1941
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Volume 24, Issue 1 (Mar 2017)

Issues

Automatic Extraction of the Pelvicalyceal System for Preoperative Planning of Minimally Invasive Procedures

Katarzyna Heryan
  • Corresponding author
  • 1) AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Cracaw, Poland
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  • De Gruyter OnlineGoogle Scholar
/ Andrzej Skalski
  • 1) AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Cracaw, Poland
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  • De Gruyter OnlineGoogle Scholar
/ Jacek Jakubowski / Tomasz Drewniak / Janusz Gajda
  • 1) AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Cracaw, Poland
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  • De Gruyter OnlineGoogle Scholar
Published Online: 2017-03-20 | DOI: https://doi.org/10.1515/mms-2017-0014

Abstract

Minimally invasive procedures for the kidney tumour removal require a 3D visualization of topological relations between kidney, cancer, the pelvicalyceal system and the renal vascular tree. In this paper, a novel methodology of the pelvicalyceal system segmentation is presented. It consists of four following steps: ROI designation, automatic threshold calculation for binarization (approximation of the histogram image data with three exponential functions), automatic extraction of the pelvicalyceal system parts and segmentation by the Locally Adaptive Region Growing algorithm. The proposed method was applied successfully on the Computed Tomography database consisting of 48 kidneys both healthy and cancer affected. The quantitative evaluation (comparison to manual segmentation) and visual assessment proved its effectiveness. The Dice Coefficient of Similarity is equal to 0.871 ± 0.060 and the average Hausdorff distance 0.46 ± 0.36 mm. Additionally, to provide a reliable assessment of the proposed method, it was compared with three other methods. The proposed method is robust regardless of the image acquisition mode, spatial resolution and range of image values. The same framework may be applied to further medical applications beyond preoperative planning for partial nephrectomy enabling to visually assess and to measure the pelvicalyceal system by medical doctors.

Keywords: the pelvicalyceal system segmentation; kidney segmentation; kidney compartments; Computed Tomography (CT); kidney cancer

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About the article

Received: 2016-06-07

Accepted: 2017-01-15

Published Online: 2017-03-20

Published in Print: 2017-03-01


Citation Information: Metrology and Measurement Systems, ISSN (Online) 2300-1941, DOI: https://doi.org/10.1515/mms-2017-0014.

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© 2017 Polish Academy of Sciences. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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