Multi-parameter segmentation of brain images
Document Type
Conference Proceeding
Publication Date
10-27-2009
Abstract
Recent advances in multi-parameter MR brain imaging has enabled multi-class tissue characterization for better quantitative analysis and understanding brain disorders and pathologies. This paper presents a maximum likelihood based method for multi-class segmentation that utilizes spatio-frequency features obtained from wavelet analysis along with the multi-parameter measurements. Results on MR brain images of a patient with stroke are presented. ©2009 IEEE.
Identifier
70350241354 (Scopus)
ISBN
[9781424420735]
Publication Title
2009 4th International IEEE EMBS Conference on Neural Engineering Ner 09
External Full Text Location
https://doi.org/10.1109/NER.2009.5109273
First Page
222
Last Page
225
Recommended Citation
Dhawan, Atam P. and D'Alessandro, Brian, "Multi-parameter segmentation of brain images" (2009). Faculty Publications. 11894.
https://digitalcommons.njit.edu/fac_pubs/11894
