Patch-based field-of-view matching in multi-modal images for electroporation-based ablations
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | LAFITTE, Luc | |
| hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
| dc.contributor.author | GIRAUD, Rémi | |
| hal.structure.identifier | University Medical Center [Utrecht] [UMCU] | |
| dc.contributor.author | ZACHIU, Cornel | |
| hal.structure.identifier | University Medical Center [Utrecht] [UMCU] | |
| dc.contributor.author | RIES, Mario | |
| hal.structure.identifier | Hôpital Jean Verdier [AP-HP] | |
| dc.contributor.author | SUTTER, Olivier | |
| hal.structure.identifier | Hôpital Jean Verdier [AP-HP] | |
| dc.contributor.author | PETIT, Antoine | |
| hal.structure.identifier | Hôpital Jean Verdier [AP-HP] | |
| dc.contributor.author | SEROR, Olivier | |
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | POIGNARD, Clair | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
| dc.date.accessioned | 2024-04-04T02:52:14Z | |
| dc.date.available | 2024-04-04T02:52:14Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 0895-6111 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192047 | |
| dc.description.abstractEn | Various multi-modal imaging sensors are currently involved at different steps of an interventional therapeutic work-flow. Cone beam computed tomography (CBCT), computed tomography (CT) or Magnetic Resonance (MR) images thereby provides complementary functional and/or structural information of the targeted region and organs at risk. Merging this information relies on a correct spatial alignment of the observed anatomy between the acquired images. This can be achieved by the means of multi-modal deformable image registration (DIR), demonstrated to be capable of estimating dense and elastic deformations between images acquired by multiple imaging devices. However, due to the typically different field-of-view (FOV) sampled across the various imaging modalities, such algorithms may severely fail in finding a satisfactory solution. In the current study we propose a new fast method to align the FOV in multi-modal 3D medical images. To this end, a patch-based approach is introduced and combined with a state-of-the-art multi-modal image similarity metric in order to cope with multi-modal medical images. The occurrence of estimated patch shifts is computed for each spatial direction and the shift value with maximum occurrence is selected and used to adjust the image field-of-view. The performance of the proposed method-in terms of both registration accuracy and computational needs-is analyzed in the practical case of on-line irreversible electroporation procedures. In total, 30 pairs of pre-/per-operative IRE images are considered to illustrate the efficiency of our algorithm. We show that a regional registration approach using voxel patches provides a good structural compromise between the voxel-wise and "global shifts" approaches. The method was thereby beneficial for CT to CBCT and MRI to CBCT registration tasks, especially when highly different image FOVs are involved. Besides, the benefit of the method for CT to CBCT and MRI to CBCT image registration is analyzed, including the impact of artifacts generated by percutaneous needle insertions. Additionally, the computational needs using commodity hardware are demonstrated to be compatible with clinical constraints in the practical case of on-line procedures. The proposed patch-based workflow thus represents an attractive asset for DIR at different stages of an interventional procedure. | |
| dc.description.sponsorship | Initiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.subject.en | Patch-based matching | |
| dc.subject.en | Multi-modal image registration | |
| dc.subject.en | Interventional procedures | |
| dc.title.en | Patch-based field-of-view matching in multi-modal images for electroporation-based ablations | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.compmedimag.2020.101750 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| dc.subject.hal | Mathématiques [math]/Equations aux dérivées partielles [math.AP] | |
| bordeaux.journal | Computerized Medical Imaging and Graphics | |
| bordeaux.volume | 84 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02868718 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02868718v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computerized%20Medical%20Imaging%20and%20Graphics&rft.date=2020&rft.volume=84&rft.eissn=0895-6111&rft.issn=0895-6111&rft.au=LAFITTE,%20Luc&GIRAUD,%20R%C3%A9mi&ZACHIU,%20Cornel&RIES,%20Mario&SUTTER,%20Olivier&rft.genre=article |
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