When attempting to segment data in an image, though we may be unaware of it, we are really asking a question which has no perfect answer. In common with many other data analysis tasks the best thing that we can determine is only the probability of a particular interpretation. It is a simple fact that in order for a program to segment a data set well it must use statistical principles
The literature about partial volume (PV) segmentation of MR images is rather limited, and ageneral m...
One of the major clinical applications of magnetic reso-nance imaging (MRI) is to detect pathologica...
The main goal of image segmentation is partitioning of an image into a set of disjoint regions that ...
This document has been written to illustrate the role that assumptions play in the design of image a...
Image segmentation aims to separate objects of interests from the background in an image. It has an ...
This presentation discusses techniques and issues with obtaining quantitative data from imaging tech...
<p>Image segmentation of white matter and grey matter using manual segmentation on a slice-by-slice ...
Whilst many studies have detailed the impact of partial volume effects on proton magnetic resonance ...
Segmentation of human brain using structural MRI is a key step of processing in imaging neuroscience...
Digital image analysis is the field of extracting relevant information from digital images. Recent d...
A detailed analysis procedure is described for evaluating rates of volumetric change in brain struct...
Magnetic resonance imaging (MRI) is a medical imaging method used mainly for imaging soft tissue, su...
This thesis presents a computational framework and new algorithms for creating geometric models and ...
121 p.Segmentation of MRI data is required for many applications, such as the comparison of differen...
We demonstrate that simulated MR images obtained from Brainweb do not model the partial volume effec...
The literature about partial volume (PV) segmentation of MR images is rather limited, and ageneral m...
One of the major clinical applications of magnetic reso-nance imaging (MRI) is to detect pathologica...
The main goal of image segmentation is partitioning of an image into a set of disjoint regions that ...
This document has been written to illustrate the role that assumptions play in the design of image a...
Image segmentation aims to separate objects of interests from the background in an image. It has an ...
This presentation discusses techniques and issues with obtaining quantitative data from imaging tech...
<p>Image segmentation of white matter and grey matter using manual segmentation on a slice-by-slice ...
Whilst many studies have detailed the impact of partial volume effects on proton magnetic resonance ...
Segmentation of human brain using structural MRI is a key step of processing in imaging neuroscience...
Digital image analysis is the field of extracting relevant information from digital images. Recent d...
A detailed analysis procedure is described for evaluating rates of volumetric change in brain struct...
Magnetic resonance imaging (MRI) is a medical imaging method used mainly for imaging soft tissue, su...
This thesis presents a computational framework and new algorithms for creating geometric models and ...
121 p.Segmentation of MRI data is required for many applications, such as the comparison of differen...
We demonstrate that simulated MR images obtained from Brainweb do not model the partial volume effec...
The literature about partial volume (PV) segmentation of MR images is rather limited, and ageneral m...
One of the major clinical applications of magnetic reso-nance imaging (MRI) is to detect pathologica...
The main goal of image segmentation is partitioning of an image into a set of disjoint regions that ...