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

• Autorzy: Heryan K. , Skalski A. , Jakubowski J. , Drewniak T. , Gajda J.

Identyfikatory

DOI

10.1515/mms-2017-0014

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2017
• Tom: Vol. 24, nr 1
• Strony: 3--18
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr., wzory

Twórcy

autor

Heryan K.

• AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Cracaw, Poland

autor

Skalski A.

• AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Cracaw, Poland

autor

Jakubowski J.

• Rydygier Memorial Hospital, Department of Urology, Os. Złotej Jesieni 1, 31-826 Cracaw, Poland

autor

Drewniak T.

• Specialized Municipal Hospital G. Narutowicz, Department of Urology, Prądnicka 35-37, 31-202 Cracaw, Poland

autor

Gajda J.

• AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Cracaw, Poland

Bibliografia

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Uwagi

EN

The work was supported by the Ministry of Science and Higher Education, Poland (statutory activity no. 11.11.120.774, Dean Grant no. 15.11.120.889). We would like to thank prof. Henry Rusinek for sharing the application FireVoxel containing the EdgeWave algorithm (https://wp.nyu.edu/firevoxel/) and valuable comments facilitating its handling.

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).