DocumentCode
1739588
Title
Threshold estimation for region segmentation on MR image of brain having the partial volume artifact
Author
Jong-Won Park
Volume
2
fYear
2000
fDate
2000
Firstpage
1000
Abstract
This study aims to segment white matter, gray matter, and cerebrospinal fluid (CSF) on a brain MR image and to calculate the volume of each. First, after removing the background on a brain MR image, we segmented the whole region of a brain from the skull and fat layer. Then, we calculated the partial volume of each component, which was present in the scanning finite thickness, with the arithmetical analysis of the gray value from the internal region of the brain showing the blurring effects on the basis of the MR image forming principle. Calculated partial volumes of white matter, gray matter and CSF were used to determine the threshold for the segmentation of each component on a brain MR image showing the blurring effects. Finally, the volumes of segmented white matter, gray matter, and CSF were calculated. The result of this study can be used as an objective diagnostic method to determine the degree of brain atrophy of patients who have neurodegenerative diseases such as Alzheimer´s disease and cerebral palsy
Keywords
biomedical MRI; brain; diagnostic radiography; diseases; feature extraction; image segmentation; parameter estimation; patient diagnosis; Alzheimer´s disease; MR image; arithmetical analysis; background; blurring effects; brain; brain atrophy; cerebral palsy; cerebrospinal fluid; diagnostic method; fat layer; gray matter; neurodegenerative diseases; partial volume; partial volume artifact; patients; region segmentation; skull; threshold estimation; white matter; Alzheimer´s disease; Atrophy; Biomedical imaging; Educational institutions; Image segmentation; Medical diagnostic imaging; Network address translation; Radiology; Skull; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.891695
Filename
891695
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