Iterative non-rigid image registration in Brain MRI images

Compensation of brain shift during surgery using non-rigid registration of MR and ultrasound images

Background: Surgery and accurate removal of the brain tumor in the operating room and after opening the scalp is one of the major challenges for neurosurgeons due to the removal of skull pressure and displacement and deformation of the brain tissue. This displacement of the brain changes the location of the tumor relative to the MR image taken preoperatively. Methods: This study, which is done...

Non-Rigid Image Registration

An important hypothesis of the research reported in this paper is that dynamic space warping (DSW), a dynamic programming (DP) technique (Bellman 1965, Brown 1996), can be effectively used for object matching and for inference of the image registration warping function. For this end, a novel, robust, and efficient method for non-rigid image registration using DSW in the “length–code” domain is ...

Non-Rigid Registration for brain MRI: faster and cheaper

We study the problem of Non-Rigid Registration (NRR) for intra-operative recovery of brain shift during image-guided neurosurgery. Time-critical nature of the tumour resection procedure presents a major obstacle to the routine clinical use of many available NRR approaches. In this paper, we utilise the resources of a single multicore workstation with an advanced graphics card to parallelise and...

Adaptive Mesh Refinement for Non-rigid Registration of Brain Mri

The objective of tumor resection during neurosurgery is to remove as much as possible of the tumor tissue with the minimum damage to the neighboring brain structures. This goal is complicated by intraoperative shift of the brain tissue: pre-operative images become inaccurate. Open Magnetic Resonance (MR) scanners facilitate low-quality image acquisition during the surgery. Non-rigid registratio...

Non-Rigid Morphological Image Registration