Validation Metrics for Non-rigid Registration of Medical Images Containing Vessel Trees
نویسندگان
چکیده
Validation of non-rigid registration methods is still a challenging task. Different evaluation criteria were published, yet no widely accepted gold standard exists. The aim of this paper is to provide quantitative evaluation metrics suited for clinical 3D images containing vessel trees, such as liver or brain data. We present a method to identify corresponding points on different vessel trees by extracting consistent graph minors interactively. Four different metrics based on these correspondencies are proposed.
منابع مشابه
بهبود سرعت "انطباق مبتنی بر روش برش گراف" جهت انطباق غیر صلب تصاویر تشدید مغناطیسی مغز
Image processing methods, which can visualize objects inside the human body, are of special interests. In clinical diagnosis using medical images, integration of useful data from separate images is often desired. The images have to be geometrically aligned for better observation. The procedure of mapping points from the reference image to corresponding points in the floating image is called Ima...
متن کاملExperimental Validation of an Elastic Registration Algorithm for Ultrasound Images
Ultrasound is a favorable tool for intra-operative surgical guidance due to its fastimaging speed and non-invasive nature. However, deformations of the anatomy causedby breathing, heartbeat, and movement of the patient make it difficult to track thelocation of anatomical landmarks during intra-operative ultrasound-guided interven-tions. While elastic registration can be used to ...
متن کاملCompensation 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...
متن کاملNonrigid 3D Medical Image Registration and Fusion Based on Deformable Models
For coregistration of medical images, rigid methods often fail to provide enough freedom, while reliable elastic methods are available clinically for special applications only. The number of degrees of freedom of elastic models must be reduced for use in the clinical setting to archive a reliable result. We propose a novel geometry-based method of nonrigid 3D medical image registration and fusi...
متن کاملExtracting a Purely Non-rigid Deformation Field of a Single Structure
During endovascular aortic repair (EVAR) treatment, the aortic shape is subject to severe deformation that is imposed by medical instruments such as guide wires, catheters, and the stent graft. The problem definition of deformable registration of images covering the entire abdominal region, however, is highly ill-posed. We present a new method for extracting the deformation of an aneurysmatic a...
متن کامل