Luu Manh, Ha and Moelker, Adriaan and Klein, Stefan and Niessen, Wiro and Walsum, Theo van (2018) Quantification of non-rigid liver deformation in radiofrequency ablation interventions using image registration. Physics in Medicine & Biology, 63 (17). ISSN 1361-6560
Full text not available from this repository.Abstract
Multi-modal image fusion for image guidance in minimally invasive liver interventions generally requires a registration of pre-operatively acquired images to interventional images of the patient. Whereas rigid registration approaches are fast and can be used in an interventional setting, the actual liver deformation may be non-rigid. The purpose of this paper is to assess the magnitude of non-rigid deformation of the liver between pre-operative and interventional CT images in case of tumor ablations, over the full liver and over parts of the liver that match the volumes typically imaged by a 3D ultrasound transducer. We acquired 3D abdominal CT scans of 38 patients that underwent radiofrequency ablation of liver tumors, pre-operative CT images as well as intra-operative CT images. To determine the magnitude of liver deformation due to pose changes and respiration, we non-rigidly registered the pre-operative CT scan to the intra-operative CT scan. By fitting this deformation to a rigid transformation in a region of interest and computing the residual displacements, the non-rigid deformation part can be quantified. We performed quantifications over the complete liver, as well as for two volumes of interest representative for sub-xiphoidal and inter-costal 3D ultrasound acquisitions. The results showed that a substantial amount of non-rigid deformation was found, and rotation of patient's pose and deep inhalation caused significant liver deformation. Hence we concluded that non-rigid motion correction in the interventions should be taken into account.
Item Type: | Article |
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Subjects: | Electronics and Communications > Electronics and Computer Engineering ISI-indexed journals |
Divisions: | Advanced Insitute of Engineering and Technology (AVITECH) Faculty of Electronics and Telecommunications (FET) |
Depositing User: | Lưu Mạnh Hà |
Date Deposited: | 08 Sep 2018 09:51 |
Last Modified: | 08 Sep 2018 09:51 |
URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3046 |
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