title: Robust deformable registration of pre- and post-resection ultrasound volumes for visualization of residual tumor in neurosurgery.
abstract: The brain tissue deforms significantly during neurosurgery, which has led to the use of intra-operative ultrasound in many sites to provide updated ultrasound images of tumor and critical parts of the brain. Several factors degrade the quality of post-resection ultrasound images such as hemorrhage, air bubbles in tumor cavity and the application of blood-clotting agent around the edges of the resection. As a result, registration of post- and pre-resection ultrasound is of significant clinical importance. In this paper, we propose a nonrigid symmetric registration (NSR) framework for accurate alignment of pre- and post-resection volumetric ultrasound images in near real-time. We first formulate registration as the minimization of a regularized cost function, and analytically derive its derivative to efficiently optimize the cost function. We use Efficient Second-order Minimization (ESM) method for fast and robust optimization. Furthermore, we use inverse-consistent deformation method to generate realistic deformation fields. The results show that NSR significantly improves the quality of alignment between pre- and post-resection ultrasound images.
authors.lastname: Hang Zhou
authors.forename: Hassan
authors.initials: H
authors.lastname: Rivaz
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery*; D004453:Echoencephalography / Q000379:methods*; D005910:Glioma / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007432:Intraoperative Period; D018365:Neoplasm, Residual; D019635:Neurosurgical Procedures / Q000379:methods*; D011184:Postoperative Period; D011300:Preoperative Care