Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.

@article{Chard2010ReducingTI,
  title={Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.},
  author={Declan T. Chard and Jonathan S. Jackson and David H. Miller and Claudia A. M. Wheeler-Kingshott},
  journal={Journal of magnetic resonance imaging : JMRI},
  year={2010},
  volume={32 1},
  pages={223-8}
}
PURPOSE To develop an automated lesion-filling technique (LEAP; LEsion Automated Preprocessing) that would reduce lesion-associated brain tissue segmentation bias (which is known to affect automated brain gray [GM] and white matter [WM] tissue segmentations in people who have multiple sclerosis), and a WM lesion simulation tool with which to test it. MATERIALS AND METHODS Simulated lesions with differing volumes and signal intensities were added to volumetric brain images from three healthy… CONTINUE READING
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 116 extracted citations

Similar Papers

Loading similar papers…