Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains
In the frame of 3D medical imaging, accurate segmentation of multimodal brain MR images
is of interest for many brain disorders. However, due to several factors such as noise …
is of interest for many brain disorders. However, due to several factors such as noise …
Estimation of mouse organ locations through registration of a statistical mouse atlas with micro-CT images
H Wang, DB Stout… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Micro-CT is widely used in preclinical studies of small animals. Due to the low soft-tissue
contrast in typical studies, segmentation of soft tissue organs from noncontrast enhanced …
contrast in typical studies, segmentation of soft tissue organs from noncontrast enhanced …
Multiple abdominal organ segmentation: an atlas-based fuzzy connectedness approach
Y Zhou, J Bai - IEEE Transactions on Information Technology …, 2007 - ieeexplore.ieee.org
Organ segmentation is an important step in various medical image applications. In this
paper, a presegmented atlas is incorporated into the fuzzy connectedness (FC) framework …
paper, a presegmented atlas is incorporated into the fuzzy connectedness (FC) framework …
Topology-preserving discrete deformable model: Application to multi-segmentation of brain MRI
S Miri, N Passat, JP Armspach - … 2008. Cherbourg-Octeville, France, July 1 …, 2008 - Springer
Among the numerous 3D medical image segmentation methods proposed in the literature,
very few have intended to provide topologically satisfying results, a fortiori for multiple object …
very few have intended to provide topologically satisfying results, a fortiori for multiple object …
Using multimodal MR data for segmentation and topology recovery of the cerebral superficial venous tree
N Passat, C Ronse, J Baruthio, JP Armspach… - … Symposium on Visual …, 2005 - Springer
Magnetic resonance angiography (MRA) produces 3D data visualizing vascular structures
by detecting the flowing blood signal. While segmentation methods generally detect vessels …
by detecting the flowing blood signal. While segmentation methods generally detect vessels …
[PDF][PDF] Segmentation d'images IRM anatomiques par inférence bayésienne multimodale et détection de lésions
S Bricq - 2008 - publication-theses.unistra.fr
L'imagerie médicale, en constante évolution ces dernieres années, fournit un nombre
croissant de données. Ce volume important de données doit ensuite être analysé. Les …
croissant de données. Ce volume important de données doit ensuite être analysé. Les …
[HTML][HTML] A normalized thoracic coordinate system for atlas mapping in 3D CT images
H Wang, J Bai, Y Zhang - Progress in Natural Science, 2008 - Elsevier
In this paper, a normalized thoracic coordinate system (NTCS) is defined for rapidly mapping
the 4D thoracic organ atlas into individual CT volume images. This coordinate system is …
the 4D thoracic organ atlas into individual CT volume images. This coordinate system is …
Abdominal atlas mapping in CT and MR volume images using a normalized abdominal coordinate system
H Wang, J Bai, Y Zhou, Y Zhang - Computerized Medical Imaging and …, 2008 - Elsevier
In this paper, a normalized abdominal coordinate system is defined for abdominal atlas
mapping in CT and MR volume images. This coordinate system is independent of both the …
mapping in CT and MR volume images. This coordinate system is independent of both the …
Atlas based automatic identification of abdominal organs
Y Zhou, J Bai - Medical Imaging 2005: Image Processing, 2005 - spiedigitallibrary.org
Due to intensity inhomogeneities, partial volume effects, as well as organ shape variations,
automatic segmentation of abdominal organs has always been a high challenging task. To …
automatic segmentation of abdominal organs has always been a high challenging task. To …
基于形态学和高斯混合模型的3D T1-MRI 大脑全自动分割算法
曾东， 尧德中 - 中国医学物理学杂志, 2005 - cqvip.com
大脑的分割有重要的研究和临床应用, 本文提出一种简单快速的全自动3 D T1-MRI
大脑分割算法. 该算法基于形态学运算和高斯混合模型, 包括大脑分割初始化 …
大脑分割算法. 该算法基于形态学运算和高斯混合模型, 包括大脑分割初始化 …