Journal ArticleDOI
An efficient locally affine framework for the smooth registration of anatomical structures
Olivier Commowick,Vincent Arsigny,A. Isambert,Jimena Costa,Frédéric Dhermain,François Bidault,Pierre-Yves Bondiau,Nicholas Ayache,Grégoire Malandain +8 more
TLDR
This article presents a method to introduce more coherence in the registration by using fewer degrees of freedom than with a dense registration, using a set of affine transformations, which are optimized together in a very efficient manner.About:
This article is published in Medical Image Analysis.The article was published on 2008-08-01. It has received 83 citations till now. The article focuses on the topics: Affine transformation & Brain segmentation.read more
Citations
More filters
Journal ArticleDOI
Deformable Medical Image Registration: A Survey
TL;DR: This paper attempts to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain, and provides an extensive account of registration techniques in a systematic manner.
Journal ArticleDOI
Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks
Bulat Ibragimov,Lei Xing +1 more
TL;DR: This work proposed the first deep learning‐based algorithm, for segmentation of OARs in HaN CT images, and compared its performance against state‐of‐the‐art automated segmentation algorithms, commercial software, and interobserver variability.
Journal ArticleDOI
A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI
TL;DR: This paper proposes a fully automatic whole heart segmentation framework based on two new image registration algorithms: the locally affine registration method (LARM) and the free-form deformations with adaptive control point status (ACPS FFDs).
Journal ArticleDOI
Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context
A. Isambert,Frédéric Dhermain,François Bidault,Olivier Commowick,Pierre-Yves Bondiau,Grégoire Malandain,Dimitri Lefkopoulos +6 more
TL;DR: These tests demonstrated that this ABAS is a robust and reliable tool for automatic delineation of large structures under clinical conditions in the authors' daily practice, even though the small structures must continue to be delineated manually by an expert.
Journal ArticleDOI
A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration
TL;DR: The results presented here on real 3D locally affine registration suggest that the novel framework provides a general and efficient way of fusing local rigid or affine deformations into a global invertible transformation without introducing artifacts, independently of the way local deformations are first estimated.
References
More filters
Journal ArticleDOI
A method for registration of 3-D shapes
Paul J. Besl,H.D. McKay +1 more
TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
Journal ArticleDOI
Nonrigid registration using free-form deformations: application to breast MR images
TL;DR: The results clearly indicate that the proposed nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.
Journal ArticleDOI
A survey of image registration techniques
TL;DR: This paper organizes this material by establishing the relationship between the variations in the images and the type of registration techniques which can most appropriately be applied, and establishing a framework for understanding the merits and relationships between the wide variety of existing techniques.
Proceedings ArticleDOI
A two-dimensional interpolation function for irregularly-spaced data
TL;DR: In many fields using empirical areal data there arises a need for interpolating from irregularly-spaced data to produce a continuous surface as discussed by the authors, and it is assumed that a unique number (such as rainfall in meteorology, or altitude in geography) is associated with each data point.
Journal ArticleDOI
Least Median of Squares Regression
TL;DR: In this paper, the median of the squared residuals is used to resist the effect of nearly 50% of contamination in the data in the special case of simple least square regression, which corresponds to finding the narrowest strip covering half of the observations.