نتایج جستجو برای: deformable image registration dir
تعداد نتایج: 448004 فیلتر نتایج به سال:
Image registration is a fundamental task in medical image analysis. Recently, many deep learning based methods have been extensively investigated due to their comparable performance with the state-of-the-art classical approaches despite ultra-fast computational time. However, existing still limitations preservation of original topology during deformation vector fields. To address this issues, h...
Abstract Deformable image registration (DIR) is an important component for dose accumulation and associated clinical outcome evaluation in radiotherapy. However, the resulting deformation vector field (DVF) subject to unavoidable discrepancies when different algorithms are applied, leading dosimetric uncertainties of accumulated dose. We propose here approach proton therapy estimate as a conseq...
PURPOSE Focal therapy has been proposed as an alternative method to whole-gland treatment for prostate cancer when aiming to reduce treatment side effects. The authors recently validated a radiobiological model which takes into account tumor location and tumor characteristics including tumor cell density, Gleason score, and hypoxia in order to plan optimal dose distributions for focal therapy. ...
BACKGROUND Deformable image registration (DIR) is a key component in many radiotherapy applications. However, often resulting deformations are not satisfying, since varying deformation properties of different anatomical regions are not considered. To improve the plausibility of DIR in adaptive radiotherapy in the male pelvic area, this work integrates a local rigidity deformation model into a D...
Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D intra-operative data. Several factors may affect the accuracy of 2D-3D registration, including the number of 2D views, the angle between views, the view angle relative to anatomical objects, the co-registration error between views, the image noise, and...
An image registration technique is presented for the registration of medical images using a hybrid combination of coarse-scale landmark and B-splines deformable registration techniques. The technique is particularly effective for registration problems in which the images to be registered contain large localized deformations. A brief overview of landmark and deformable registration techniques is...
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