A dual approach for minimizing false lesion classifications on magnetic resonance images
- 1 January 1997
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 37 (1), 94-102
- https://doi.org/10.1002/mrm.1910370114
Abstract
Segmentation methods based on dual-echo MR images are generally prone to significant false lesion classifications. We have minimized these false classifications by (1) improving the lesion-to-tissue contrast on MR images by developing a fast spin-echo sequence that incorporates both cerebrospinal fluid signal attenuation and magnetization transfer contrast and (2) including information from MR flow images. Studies on patients with multiple sclerosis indicate that this dual approach to tissue segmentation reduces the volume of false lesion classifications by an average of 87%.Keywords
This publication has 28 references indexed in Scilit:
- Three‐Dimensional MR image registration of the human brainMagnetic Resonance in Medicine, 1996
- Effect of Radio Frequency Inhomogeneity Correction on the Reproducibility of Intra‐Cranial Volumes Using MR Image DataMagnetic Resonance in Medicine, 1995
- Correlation of spectroscopy and magnetization transfer imaging in the evaluation of demyelinating lesions and normal appearing white matter in multiple sclerosisMagnetic Resonance in Medicine, 1994
- Reproducibility of nonparametric feature map segmentation for determination of normal human intracranial volumes with MR imaging dataJournal of Magnetic Resonance Imaging, 1994
- Automatic detection of brain contours in MRI data setsIEEE Transactions on Medical Imaging, 1993
- Neural-network-based segmentation of multi-modal medical images: a comparative and prospective studyIEEE Transactions on Medical Imaging, 1993
- Use of Fluid Attenuated Inversion Recovery (FLAIR) Pulse Sequences in MRI of the BrainJournal of Computer Assisted Tomography, 1992
- Nonlinear anisotropic filtering of MRI dataIEEE Transactions on Medical Imaging, 1992
- 3D Surface Rendered MR Images of the Brain and its VasculatureJournal of Computer Assisted Tomography, 1991
- Three-Dimensional Segmentation of MR Images of the Head Using Probability and ConnectivityJournal of Computer Assisted Tomography, 1990