Patch-based field-of-view matching in multi-modal images for electroporation-based ablations.

Autor: Lafitte L; University of Bordeaux, IMB, UMR CNRS 5251, INRIA Project team Monc, F-33405 Talence Cedex, France., Giraud R; University of Bordeaux, IMS, CNRS UMR 5218, F-33405 Talence Cedex, France., Zachiu C; Department of Radiotherapy, UMC Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands., Ries M; Imaging Division, UMC Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands., Sutter O; Interventional radiology unit, Hôpitaux Universitaires Paris Seine Saint Denis, Hôpital Avicenne, Assistance Publique Hôpitaux de Paris, Bobigny, France; University of Paris 13, 'Sciences Médicale et Biologie Humaine', Bobigny, France., Petit A; Interventional radiology unit, Hôpitaux Universitaires Paris Seine Saint Denis, Hôpital Avicenne, Assistance Publique Hôpitaux de Paris, Bobigny, France; University of Paris 13, 'Sciences Médicale et Biologie Humaine', Bobigny, France., Seror O; Interventional radiology unit, Hôpitaux Universitaires Paris Seine Saint Denis, Hôpital Avicenne, Assistance Publique Hôpitaux de Paris, Bobigny, France; University of Paris 13, 'Sciences Médicale et Biologie Humaine', Bobigny, France., Poignard C; University of Bordeaux, IMB, UMR CNRS 5251, INRIA Project team Monc, F-33405 Talence Cedex, France., de Senneville BD; University of Bordeaux, IMB, UMR CNRS 5251, INRIA Project team Monc, F-33405 Talence Cedex, France; Department of Radiotherapy, UMC Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
Jazyk: angličtina
Zdroj: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2020 Sep; Vol. 84, pp. 101750. Date of Electronic Publication: 2020 Jun 16.
DOI: 10.1016/j.compmedimag.2020.101750
Abstrakt: 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.
(Copyright © 2020 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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