Cerebral magnetic resonance image segmentation using data fusion

Journal Article · Fri Mar 01 04:00:00 EST 1996 · Journal of Computer Assisted Tomography

DOI:https://doi.org/10.1097/00004728-199603000-00007· OSTI ID:437577

Rajapakse, J C; Giedd, J N; Krain, A L; Hamburger, S D; Rapoport, J L; DeCarli, C ^[1]

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1. National Inst. of Health, Bethesda, MD (United States)

A semiautomated method is described for segmenting dual echo MR head scans into gray and white matter and CSF. The method is applied to brain scans of 80 healthy children and adolescents. A probabilistic data fusion equation was used to combine simultaneously acquired T2-weighted and proton density head scans for tissue segmentation. The fusion equation optimizes the probability of a voxel being a particular tissue type, given the corresponding probabilities from both images. The algorithm accounts for the intensity inhomogeneities present in the images by fusion of local regions of the images. The method was validated using a phantom (agarose gel with iron oxide particles) and hand-segmented imager. Gray and white matter volumes for subjects aged 20-30 years were close to those previously published. White matter and CSF volume increased and gray matter volume decreased significantly across ages 4-18 years. White matter, gray matter, and CSF volumes were larger for males than for females. Males and females showed similar change of gray and white matter volumes with age. This simple, reliable, and valid method can be employed in clinical research for quantification of gray and white matter and CSF volumes in MR head scans. Increase in white matter volume may reflect ongoing axonal growth and myelination, and gray matter reductions may reflect synaptic pruning or cell death in the age span of 4-18 years. 41 refs., 5 figs., 3 tabs.

• OSTI ID: 437577
• Journal Information: Journal of Computer Assisted Tomography, Journal Name: Journal of Computer Assisted Tomography Journal Issue: 2 Vol. 20; ISSN JCATD5; ISSN 0363-8715
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
55 BIOLOGY AND MEDICINE
BASIC STUDIES
BRAIN
CEREBROSPINAL FLUID
NMR IMAGING