J 2016

Patient-Specific Biomechanical Modeling for Guidance During Minimally-Invasive Hepatic Surgery

PLANTEFÈVE, Rosalie, Igor PETERLÍK, Nazim HAOUCHINE a Stéphane COTIN

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

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

Odkazy

Impakt faktor

Impact factor: 3.221

Kód RIV

RIV/00216224:14610/16:00089426

Organizační jednotka

Ústav výpočetní techniky

UT WoS

000367330800012

Klíčová slova anglicky

Patient-specific modeling; Non-rigid registration; Minimally-invasive surgery; Real-time simulation

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 27. 4. 2018 10:06, Mgr. Alena Mokrá

Anotace

V originále

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.