Large deformation diffeomorphic registration of diffusion-weighted imaging data

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Large deformation diffeomorphic registration of diffusion-weighted imaging data

Registration plays an important role in group analysis of diffusion-weighted imaging (DWI) data. It can be used to build a reference anatomy for investigating structural variation or tracking changes in white matter. Unlike traditional scalar image registration where spatial alignment is the only focus, registration of DWI data requires both spatial alignment of structures and reorientation of ...

متن کامل

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images

Registration of Diffusion-weighted imaging (DWI) data emerges as an important topic in magnetic resonance (MR) image analysis. As existing methods are often designed for specific diffusion models, it is difficult to fit to the registered data different models other than the one used for registration. In this paper we describe a diffeomorphic registration algorithm for DWI data in a large deform...

متن کامل

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization

We seek to compute a diffeomorphic map between a pair of diffusion-weighted images under large deformation. Unlike existing techniques, our method allows any diffusion model to be fitted after registration for subsequent multifaceted analysis. This is achieved by directly aligning the diffusion-weighted images using a large deformation diffeomorphic registration framework formulated from an opt...

متن کامل

Correction of B0 susceptibility induced distortion in diffusion-weighted images using large-deformation diffeomorphic metric mapping.

Geometric distortion caused by B0 inhomogeneity is one of the most important problems for diffusion-weighted images (DWI) using single-shot, echo planar imaging (SS-EPI). In this study, large-deformation, diffeomorphic metric mapping (LDDMM) algorithm has been tested for the correction of geometric distortion in diffusion tensor images (DTI). Based on data from nine normal subjects, the amount ...

متن کامل

Spatial Normalization of Diffusion Spectrum Imaging Using Large Deformation Diffeomorphic Metric Mapping

Introduction: Problems of image registration has been well studied in the neuroimaging field. Popular packages addressing this issue include AIR, SPM etc. The general scenario of image registration is to ‘normalize’ the source image to the template image (or target image) in terms of minimizing certain cost functions. The success of image registration using these methods leads to great progress...

متن کامل

ذخیره 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: Medical Image Analysis

سال: 2014

ISSN: 1361-8415

DOI: 10.1016/j.media.2014.06.012