Biomechanics-based graph matching for augmented CT-CBCT - Archive ouverte HAL Access content directly
Journal Articles International Journal of Computer Assisted Radiology and Surgery Year : 2018

Biomechanics-based graph matching for augmented CT-CBCT

(1) , (1) , (2) , (1)
1
2

Abstract

Purpose: Augmenting intraoperative cone beam computed tomography (CBCT) images with preoperative computed tomography (CT) data in the context of image-guided liver therapy. The expected benefit is an improved visualization of tu-mor(s), vascular system and other internal structures of interest. Method: An automatic elastic registration based on matching of vascular trees extracted from both the preoperative and intraoperative images. Although methods dedicated to non-rigid graph matching exist, they are not efficient when large in-traoperative deformations of tissues occur, as is the case during the liver surgery. The contribution is an extension of the graph matching algorithm using Gaussian process regression (GPR) [1]: First, an improved GPR matching is introduced by imposing additional constraints during the matching when the number of hypothesis is large; like the original algorithm, this extended version does not require a manual initialization of matching. Second, a fast biomechanical model is employed to make the method capable of handling large deformations. Results: The proposed automatic intraoperative augmentation is evaluated on both synthetic and real data. that the algorithm is capable of handling large deformations , thus being more robust and reliable than previous approaches. Moreover, the time required to perform the elastic registration is compatible with the intraopera-tive navigation scenario. Conclusion: A biomechanics-based graph matching method, which can handle large deformations and augment intraoperative CBCT, is presented and evaluated.
Fichier principal
Vignette du fichier
template.pdf (3.82 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01761521 , version 1 (09-04-2018)
hal-01761521 , version 2 (13-07-2018)

Identifiers

Cite

Jaime Garcia Guevara, Igor Peterlik, Marie-Odile Berger, Stephane Cotin. Biomechanics-based graph matching for augmented CT-CBCT. International Journal of Computer Assisted Radiology and Surgery, 2018, 13 (6), pp.805-813. ⟨10.1007/s11548-018-1755-1⟩. ⟨hal-01761521v2⟩
379 View
383 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More