PLANTEFÈVE, Rosalie, Igor PETERLÍK, Nazim HAOUCHINE a Stéphane COTIN. Patient-Specific Biomechanical Modeling for Guidance During Minimally-Invasive Hepatic Surgery. ANNALS OF BIOMEDICAL ENGINEERING. NEW YORK: SPRINGER, 2016, roč. 44, č. 1, s. 139-153. ISSN 0090-6964. Dostupné z: https://dx.doi.org/10.1007/s10439-015-1419-z.
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Základní údaje
Originální název Patient-Specific Biomechanical Modeling for Guidance During Minimally-Invasive Hepatic Surgery
Název česky Biomechanické Modelování pro Navigaci Speficickou pro Pacienta během minimimálně invasivní hepatické chirurgie
Autoři PLANTEFÈVE, Rosalie (250 Francie), Igor PETERLÍK (703 Slovensko, domácí), Nazim HAOUCHINE (12 Alžírsko) a Stéphane COTIN (250 Francie).
Vydání ANNALS OF BIOMEDICAL ENGINEERING, NEW YORK, SPRINGER, 2016, 0090-6964.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Německo
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 3.221
Kód RIV RIV/00216224:14610/16:00089426
Organizační jednotka Ústav výpočetní techniky
Doi http://dx.doi.org/10.1007/s10439-015-1419-z
UT WoS 000367330800012
Klíčová slova anglicky Patient-specific modeling; Non-rigid registration; Minimally-invasive surgery; Real-time simulation
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Alena Mokrá, učo 362754. Změněno: 27. 4. 2018 10:06.
Anotace
During the minimally-invasive liver surgery, only the partial surface view of the liver is usually provided to the surgeon via the laparoscopic camera. Therefore, it is necessary to estimate the actual position of the internal structures such as tumors and vessels from the pre-operative images. Nevertheless, such task can be highly challenging since during the intervention, the abdominal organs undergo important deformations due to the pneumoperitoneum, respiratory and cardiac motion and the interaction with the surgical tools. Therefore, a reliable automatic system for intra-operative guidance requires fast and reliable registration of the pre- and intra-operative data. In this paper we present a complete pipeline for the registration of pre-operative patient-specific image data to the sparse and incomplete intra-operative data. While the intra-operative data is represented by a point cloud extracted from the stereo-endoscopic images, the pre-operative data is used to reconstruct a biomechanical model which is necessary for accurate estimation of the position of the internal structures, considering the actual deformations. This model takes into account the patient-specific liver anatomy composed of parenchyma, vascularization and capsule, and is enriched with anatomical boundary conditions transferred from an atlas. The registration process employs the iterative closest point technique together with a penalty-based method. We perform a quantitative assessment based on the evaluation of the target registration error on synthetic data as well as a qualitative assessment on real patient data. We demonstrate that the proposed registration method provides good results in terms of both accuracy and robustness w. r. t. the quality of the intra-operative data.
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