Stopping Criteria for Log-Domain Diffeomorphic Demons Registration

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

Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach

Modern morphometric studies use non-linear image registration to compare anatomies and perform group analysis. Recently, log-Euclidean approaches have contributed to promote the use of such computational anatomy tools by permitting simple computations of statistics on a rather large class of invertible spatial transformations. In this work, we propose a non-linear registration algorithm perfect...

متن کامل

Comparing algorithms for diffeomorphic registration: Stationary LDDMM and Diffeomorphic Demons

The stationary parameterization of diffeomorphisms is being increasingly used in computational anatomy. In certain applications it provides similar results to the non-stationary parameterization alleviating the computational charge. With this characterization for diffeomorphisms, two different registration algorithms have been recently proposed: stationary LDDMM and diffeomorphic Demons. To our...

متن کامل

Diffeomorphic demons: Efficient non-parametric image registration

We propose an efficient non-parametric diffeomorphic image registration algorithm based on Thirion's demons algorithm. In the first part of this paper, we show that Thirion's demons algorithm can be seen as an optimization procedure on the entire space of displacement fields. We provide strong theoretical roots to the different variants of Thirion's demons algorithm. This analysis predicts a th...

متن کامل

Log-Domain Diffeomorphic Registration of Diffusion Tensor Images

Diffusion tensor imaging provides information about deep white matter anatomy that structural magnetic resonance images typically fail to resolve. Non-linear registration of diffusion tensor images, for which a few methods already exist, allows us to capture the deformations of these structures that would otherwise go unobserved. Here, we build on an existing method for diffeomorphic registrati...

متن کامل

Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

This paper proposes a new framework for capturing large and complex deformation in image registration. Traditionally, this challenging problem relies firstly on a preregistration, usually an affine matrix containing rotation, scale, and translation and afterwards on a nonrigid transformation. According to preregistration, the directly calculated affine matrix, which is obtained by limited pixel...

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: Technology in Cancer Research & Treatment

سال: 2013

ISSN: 1533-0346,1533-0338

DOI: 10.7785/tcrtexpress.2013.600269