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» Robust Unsupervised Tissue Classification in MR Images
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TMI
2008
108views more  TMI 2008»
14 years 9 months ago
A Comprehensive Approach to the Analysis of Contrast Enhanced Cardiac MR Images
Abstract--Current magnetic resonance imaging (MRI) technology allows the determination of patient-individual coronary tree structure, detection of infarctions, and assessment of my...
Anja Hennemuth, A. Seeger, Ola Friman, S. Miller, ...
79
Voted
MICCAI
2000
Springer
15 years 1 months ago
BrainSuite: An Automated Cortical Surface Identification Tool
We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool pr...
David W. Shattuck, Richard M. Leahy
ICIP
2010
IEEE
14 years 7 months ago
Robust segmentation of lung tissue in chest CT scanning
This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung regi...
Amal A. Farag, James Graham, Aly Farag
ICPR
2008
IEEE
15 years 10 months ago
Thin layer tissue classification for electronic cleansing of CT colonography data
CT colonography (CTC) is a rapidly evolving technique to screen for colorectal polyps. Fecal residue may occlude or, reversely, mimic polyps. Electronic cleansing aims at removing...
Vincent Frans van Ravesteijn, Frans M. Vos, Iwo Se...
65
Voted
ISBI
2008
IEEE
15 years 10 months ago
Texture-driven coronary artery plaque characterization using wavelet packet signatures
High-frequency ultrasound transducers are being widely used to generate high resolution, real time, cross-sectional images of the coronary arteries. In this paper, we present a ro...
Amin Katouzian, Babak Baseri, Elisa E. Konofagou, ...