Fast elastic registration of soft tissues under large
deformations

J 2018

Fast elastic registration of soft tissues under large deformations

PETERLÍK, Igor, Hadrien COURTECUISSE, Robert ROHLING, Purang ABOLMAESUMI, Christopher NGUAN et. al.

Základní údaje

Originální název

Fast elastic registration of soft tissues under large deformations

Název česky

Rychlá elastická registrace měkkých tkání s velkými deformacemi

Autoři

PETERLÍK, Igor (703 Slovensko, garant, domácí), Hadrien COURTECUISSE (250 Francie), Robert ROHLING (124 Kanada), Purang ABOLMAESUMI (124 Kanada), Christopher NGUAN (124 Kanada), Stéphane COTIN (250 Francie) a Septimiu SALCUDEAN (124 Kanada)

Vydání

Medical Image Analysis, Elsevier, 2018, 1361-8415

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 8.880

Kód RIV

RIV/00216224:14610/18:00102289

Organizační jednotka

Ústav výpočetní techniky

DOI

http://dx.doi.org/10.1016/j.media.2017.12.006

UT WoS

000427664400003

Klíčová slova anglicky

Deformable image registration; Computer-aided interventions; Finite element method; Human liver

Štítky

cone-beam CT, finite element method, human liver, large deformations, medical image registration, regularization, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 4. 2019 15:28, Mgr. Alena Mokrá

Anotace

V originále

We focus on the problematic of the intra-operative navigation during abdominal surgery, which requires an accurate registration of tissues undergoing large deformations. Such a scenario occurs in the case of partial hepatectomy: to facilitate the access to the pathology, e.g. a tumor located in the posterior part of the right lobe, the surgery is performed on a patient in lateral position. Due to the change in patient’s position, the resection plan based on the pre-operative CT scan acquired in the supine position must be updated to account for the deformations. We suppose that an imaging modality, such as the cone-beam CT, provides the information about the intra-operative shape of an organ, however, due to the reduced radiation dose and contrast, the actual locations of the internal structures necessary to update the planning are not available. To this end, we propose a method allowing for fast registration of the pre-operative data represented by a detailed 3D model of the liver and its internal structure and the actual configuration given by the organ surface extracted from the intra-operative image. The algorithm behind the method combines the iterative closest point technique with a biomechanical model based on a co-rotational formulation of linear elasticity which accounts for large deformations of the tissue. The performance, robustness and accuracy of the method is quantitatively assessed on a control semi-synthetic dataset with known ground truth and a real dataset composed of nine pairs of abdominal CT scans acquired in supine and flank positions. It is shown that the proposed surface-matching method is capable of reducing the target registration error evaluated of the internal structures of the organ from more than 40 mm to less then 10 mm. Moreover, the control data is used to demonstrate the compatibility of the method with intra-operative clinical scenario, while the real datasets are utilized to study the impact of parametrization on the accuracy of the method.

Návaznosti

LM2015085, projekt VaV

Název: CERIT Scientific Cloud (Akronym: CERIT-SC)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, CERIT Scientific Cloud

Citovat

PETERLÍK, Igor, Hadrien COURTECUISSE, Robert ROHLING, Purang ABOLMAESUMI, Christopher NGUAN, Stéphane COTIN a Septimiu SALCUDEAN. Fast elastic registration of soft tissues under large deformations. Medical Image Analysis. Elsevier, 2018, roč. 45, č. 2018, s. 24-40. ISSN 1361-8415. Dostupné z: https://dx.doi.org/10.1016/j.media.2017.12.006.

@article{1407524,
   author = {Peterlík, Igor and Courtecuisse, Hadrien and Rohling, Robert and Abolmaesumi, Purang and Nguan, Christopher and Cotin, Stéphane and Salcudean, Septimiu},
   article_number = {2018},
   doi = {http://dx.doi.org/10.1016/j.media.2017.12.006},
   keywords = {Deformable image registration; Computer-aided interventions; Finite element method; Human liver},
   language = {eng},
   issn = {1361-8415},
   journal = {Medical Image Analysis},
   title = {Fast elastic registration of soft tissues under large deformations},
   url = {https://www.sciencedirect.com/science/article/pii/S1361841517301883},
   volume = {45},
   year = {2018}
}

TY  - JOUR
ID  - 1407524
AU  - Peterlík, Igor - Courtecuisse, Hadrien - Rohling, Robert - Abolmaesumi, Purang - Nguan, Christopher - Cotin, Stéphane - Salcudean, Septimiu
PY  - 2018
TI  - Fast elastic registration of soft tissues under large deformations
JF  - Medical Image Analysis
VL  - 45
IS  - 2018
SP  - 24-40
EP  - 24-40
PB  - Elsevier
SN  - 13618415
KW  - Deformable image registration
KW  - Computer-aided interventions
KW  - Finite element method
KW  - Human liver
UR  - https://www.sciencedirect.com/science/article/pii/S1361841517301883
L2  - https://www.sciencedirect.com/science/article/pii/S1361841517301883
N2  - We focus on the problematic of the intra-operative navigation during abdominal surgery, which requires an accurate registration of tissues undergoing large deformations. Such a scenario occurs in the case of partial hepatectomy: to facilitate the access to the pathology, e.g. a tumor located in the posterior part of the right lobe, the surgery is performed on a patient in lateral position. Due to the change in patient’s position, the resection plan based on the pre-operative CT scan acquired in the supine position must be updated to account for the deformations. We suppose that an imaging modality, such as the cone-beam CT, provides the information about the intra-operative shape of an organ, however, due to the reduced radiation dose and contrast, the actual locations of the internal structures necessary to update the planning are not available. To this end, we propose a method allowing for fast registration of the pre-operative data represented by a detailed 3D model of the liver and its internal structure and the actual configuration given by the organ surface extracted from the intra-operative image. The algorithm behind the method combines the iterative closest point technique with a biomechanical model based on a co-rotational formulation of linear elasticity which accounts for large deformations of the tissue. The performance, robustness and accuracy of the method is quantitatively assessed on a control semi-synthetic dataset with known ground truth and a real dataset composed of nine pairs of abdominal CT scans acquired in supine and flank positions. It is shown that the proposed surface-matching method is capable of reducing the target registration error evaluated of the internal structures of the organ from more than 40 mm to less then 10 mm. Moreover, the control data is used to demonstrate the compatibility of the method with intra-operative clinical scenario, while the real datasets are utilized to study the impact of parametrization on the accuracy of the method.
ER  -

PETERLÍK, Igor, Hadrien COURTECUISSE, Robert ROHLING, Purang ABOLMAESUMI, Christopher NGUAN, Stéphane COTIN a Septimiu SALCUDEAN. Fast elastic registration of soft tissues under large deformations. \textit{Medical Image Analysis}. Elsevier, 2018, roč.~45, č.~2018, s.~24-40. ISSN~1361-8415. Dostupné z: https://dx.doi.org/10.1016/j.media.2017.12.006.

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