Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation

Abstract

Measurement of intra-operative brain motion is important to provide boundary conditions to physics-based deformation models that can be used to register pre-and intra-operative information. In this paper we present and test a technique that can be used to measure brain surface motion automatically. This method relies on a tracked laser range scanner (LRS) that can acquire simultaneously a picture and the 3D physical coordinates of objects within its field of view. This reduces the 3D tracking problem to a 2D non-rigid registration problem which we solve with a Mutual Information-based algorithm. Results obtained on images of a phantom and on images acquired intra-operatively that demonstrate the feasibility of the method are presented.

Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery

“…The first is to use registration techniques based on intraoperative image data. Modalities such as iMR and iUS but also Laser Range Scanner (LRS) and Stereo Vision are used to acquire intraoperative image data [ 49 – 52 , 56 , 59 – 70 , 77 , 79 , 80 , 87 ]. Usually, LRS and Stereo Vision are used to acquire the intraoperative cortical surface deformation which is then integrated into a precomputed patient specific biomedical model in order to estimate the volumetric deformation.…”

“…Usually, LRS and Stereo Vision are used to acquire the intraoperative cortical surface deformation which is then integrated into a precomputed patient specific biomedical model in order to estimate the volumetric deformation. However, these papers [ 67 – 70 , 77 , 79 , 80 ] are still categorized as registration-based method, because they only presented the registration approaches which register the intraoperative surface data either with preoperative MR or between data acquired at different time points. The model-based purpose is not described directly in these works; therefore the purpose of these works is not clear without any additional knowledge.…”

“…In order to capture the elastic deformation of the brain, a group of researchers of Vanderbilt University use the Laser Range Scanner to acquire the intensity and geometric information of the cortical surface [ 67 , 68 , 70 , 77 ]. The process begins with the acquisition of a point cloud by standard principles of laser/camera triangulation.…”

“…The comparison of the results with 2D and 3D images based on five data sets shows that the method with 2D image data is more suitable than the one with 3D range images. The algorithm proposed in [ 77 ] differs from others in the following ways: the final deformation field is computed iteratively across spatial resolutions and different scales of transformation by creating a standard image pyramid. After the scale of the transformation is adapted for each resolution, the final deformation field is computed as the sum of deformation fields.…”

A method to track cortical surface deformations using a laser range scanner

“…Image deformation in the ABA is provided by radial-basis functions (RBFs), whose coefficients are optimized for registration. The robustness and accuracy of the ABA on in vivo texture images from the LRS device has been explored and verified in Duay et al [28] and an example registration of in vivo LRS texture images is shown in Fig. …”