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Deformable medical image registration: A survey
Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …
its most important applications, one may cite: 1) multi-modality fusion, where information …
The SRI24 multichannel atlas of normal adult human brain structure
This article describes the SRI24 atlas, a new standard reference system of normal human
brain anatomy, that was created using template‐free population registration of high …
brain anatomy, that was created using template‐free population registration of high …
Construction of a consistent high-definition spatio-temporal atlas of the develo** brain using adaptive kernel regression
Medical imaging has shown that, during early development, the brain undergoes more
changes in size, shape and appearance than at any other time in life. A better understanding …
changes in size, shape and appearance than at any other time in life. A better understanding …
The INIA19 template and NeuroMaps atlas for primate brain image parcellation and spatial normalization
The INIA19 is a new, high-quality template for imaging-based studies of non-human primate
brains, created from high-resolution, T 1-weighted magnetic resonance (MR) images of 19 …
brains, created from high-resolution, T 1-weighted magnetic resonance (MR) images of 19 …
PCA-based groupwise image registration for quantitative MRI
Quantitative magnetic resonance imaging (qMRI) is a technique for estimating quantitative
tissue properties, such as the T 1 and T 2 relaxation times, apparent diffusion coefficient …
tissue properties, such as the T 1 and T 2 relaxation times, apparent diffusion coefficient …
Nonrigid registration of dynamic medical imaging data using nD+ t B-splines and a groupwise optimization approach
A registration method for motion estimation in dynamic medical imaging data is proposed.
Registration is performed directly on the dynamic image, thus avoiding a bias towards a …
Registration is performed directly on the dynamic image, thus avoiding a bias towards a …
-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing
This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …
dependency and finding the anatomical correspondences among an arbitrary number of …
Iterative multi-atlas-based multi-image segmentation with tree-based registration
In this paper, we present a multi-atlas-based framework for accurate, consistent and
simultaneous segmentation of a group of target images. Multi-atlas-based segmentation …
simultaneous segmentation of a group of target images. Multi-atlas-based segmentation …
Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information
Purpose: By performing registration of preoperative multiprotocolin vivo magnetic resonance
(MR) images of the prostate with corresponding whole‐mount histology (WMH) sections …
(MR) images of the prostate with corresponding whole‐mount histology (WMH) sections …
ABSORB: Atlas building by self-organized registration and bundling
To achieve more accurate and consistent registration in an image population, a novel
hierarchical groupwise registration framework, called Atlas Building by Self-Organized …
hierarchical groupwise registration framework, called Atlas Building by Self-Organized …