A multicomponent approach to nonrigid registration of diffusion tensor images
نویسندگان
چکیده
منابع مشابه
A Variational Approach to the Registration of Tensor-Valued Images
We present a variational framework for the registration of tensorvalued images. It is based on an energy functional with four terms: a data term based on a diffusion tensor constancy constraint, a compatibility term encoding the physical model linking domain deformations and tensor reorientation, and smoothness terms for deformation and tensor reorientation. Although the tensor deformation mode...
متن کاملNonrigid registration of 3D tensor medical data
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automated algorithms. In this paper we propose a unified framework for the registration of medical volumetric multi-valued data using local matching. The paper extends the usual concept of similarity between two pieces of data to ...
متن کاملMultimodality and Nonrigid Image Registration with Application to Diffusion Tensor Imaging
Multimodality and Nonrigid Image Registration with Application to Diffusion Tensor Imaging Mohammed Khader The great challenge in image registration is to devise computationally efficient algorithms for aligning images so that their details overlap accurately. The first problem addressed in this thesis is multimodality medical image registration, which we formulate as an optimization problem in...
متن کاملNonrigid Registration of Prostate Diffusion-Weighted MRI
Motion and deformation are common in prostate diffusion-weighted magnetic resonance imaging (DWI) during acquisition. These misalignments lead to errors in estimating an apparent diffusion coefficient (ADC) map fitted with DWI. To address this problem, we propose an image registration algorithm to align the prostate DWI and improve ADC map. First, we apply affine transformation to DWI to correc...
متن کاملA Riemannian Approach to Diffusion Tensor Images Segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential geometrical properties of the space of multivariate normal distributions. We introduce a variational formulation, in the level set framework, to estimate the optimal segmentation according to the following hypothesis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Intelligence
سال: 2016
ISSN: 0924-669X,1573-7497
DOI: 10.1007/s10489-016-0833-8