Brain tumor segmentation and characterization by pattern analysis of multispectral NMR images
Autor: | Tom Mikkelsen, Donald J. Peck, Joe P. Windham, Hamid Soltanian-Zadeh |
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Rok vydání: | 1998 |
Předmět: |
medicine.diagnostic_test
Computer science business.industry Multispectral image Brain tumor Pattern analysis Image processing Magnetic resonance imaging medicine.disease Lesion Pattern recognition (psychology) medicine Molecular Medicine Radiology Nuclear Medicine and imaging Segmentation medicine.symptom Nuclear medicine business Spectroscopy |
Zdroj: | NMR in Biomedicine. 11:201-208 |
ISSN: | 1099-1492 0952-3480 |
DOI: | 10.1002/(sici)1099-1492(199806/08)11:4/5<201::aid-nbm508>3.0.co;2-6 |
Popis: | A major problem in tumor treatment planning and evaluation is determination of the tumor extent. Thispaper presents a pattern analysis methodology for segmentation and characterization of brain tumors frommultispectral NMR images. The proposed approach has been used in 15 clinical studies of cerebral tumor patientswho have been scheduled for surgical biopsy and resection. The tissue biopsy results, obtained at specific spatialcoordinates determined in the analysis, have been utilized to validate the methodology. It was found that in all casesthe lesion had extended into normal tissue, at least to the location where the sample was taken. In most cases, theproposed method suggested that the lesion had extended several millimetres beyond the point from where the biopsysample was taken. In some cases, the extent of the lesion into normal tissue was well beyond the boundary seen on T 1 -or T 2 -weighted images. It is concluded that the proposed approach indicates brain tumor infiltration more preciselythan what is visualized in the original NMR images and therefore its utilization facilitates proper treatment planningfor the cerebral tumor patients. 1998 John Wiley & Sons, Ltd.KEYWORDS: pattern recognition; pattern analysis; magnetic resonance imaging; image processing |
Databáze: | OpenAIRE |
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