Add to ORKGAbstract. This paper presents a statistical framework which combines the regis-tration of an atlas with the segmentation of MR images. We use an Expectation Maximization-based algorithm to find a solution within the model, which simul-taneously estimates image inhomogeneities, anatomical labelmap, and a mapping from the atlas to the image space. An example of the approach is given for a brain structure-dependent affine mapping approach. The algorithm produces high qual-ity segmentations for brain tissues as well as their substructures. We demonstrate the approach on a set of 30 brain MR images. In addition, we show that the ap-proach performs better than similar methods which separate the registration from the segmentation problem.
Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from ...
In this paper we describe a new method of medical image registration. We formulate the registration ...
none7siWe present a generative approach for simultaneously registering a probabilistic atlas of a he...
We present a statistical framework that combines the registration of an atlas with the segmentation ...
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel...
High quality segmentation of brain MR images is a challenging task. To deal with this problem many a...
For analyzing neurological disorders, realistic analysis of brain MRIs serves as a prerequisite step...
This paper presents an approach for joint segmentation and deformable registration of brain scans of...
In recent years, multi-atlas segmentation has emerged as one of the most accurate techniques for the...
Brain Magnetic Resonance (MR) imaging is widely used in clinical practice for disease diagnosis, pat...
Normal and abnormal brains can be segmented by registering the target image with an atlas. Here, an ...
We introduce an optimised pipeline for multi-atlas brain MRI segmentation. Both accuracy and speed o...
textabstractThe final type of segmentationmethod is atlas-based segmentation (sometimes also called...
This paper introduces a new metric to gather a large collection of segmented images into a same re...
Automated methods for image segmentation, image registration, clustering of images and probabilistic...
Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from ...
In this paper we describe a new method of medical image registration. We formulate the registration ...
none7siWe present a generative approach for simultaneously registering a probabilistic atlas of a he...
We present a statistical framework that combines the registration of an atlas with the segmentation ...
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel...
High quality segmentation of brain MR images is a challenging task. To deal with this problem many a...
For analyzing neurological disorders, realistic analysis of brain MRIs serves as a prerequisite step...
This paper presents an approach for joint segmentation and deformable registration of brain scans of...
In recent years, multi-atlas segmentation has emerged as one of the most accurate techniques for the...
Brain Magnetic Resonance (MR) imaging is widely used in clinical practice for disease diagnosis, pat...
Normal and abnormal brains can be segmented by registering the target image with an atlas. Here, an ...
We introduce an optimised pipeline for multi-atlas brain MRI segmentation. Both accuracy and speed o...
textabstractThe final type of segmentationmethod is atlas-based segmentation (sometimes also called...
This paper introduces a new metric to gather a large collection of segmented images into a same re...
Automated methods for image segmentation, image registration, clustering of images and probabilistic...
Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from ...
In this paper we describe a new method of medical image registration. We formulate the registration ...
none7siWe present a generative approach for simultaneously registering a probabilistic atlas of a he...