Automatic extraction of the pelvicalyceal system for preoperative planning of minimally invasive procedures
PBN-AR
Instytucja
Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Metrology and Measurement Systems (20pkt w roku publikacji)
ISSN
0860-8229
EISSN
2300-1941
Wydawca
Polska Akademia Nauk
DOI
Rok publikacji
2017
Numer zeszytu
1
Strony od-do
3--18
Numer tomu
24
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
1.14
Autorzy
Pozostali autorzy
+ 2
Autorzy przekładu
(liczba autorów przekładu: 0)
Słowa kluczowe
EN
kidney cancer
Computed Tomography (CT)
kidney compartments
kidney segmentation
the pelvicalyceal system segmentation
Streszczenia
Język
EN
Treść
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.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:104936
CrossrefMetadata from Crossref logo
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