Literature DB >> 18301988

Semiautomated volumetry of the cerebrum, cerebellum-brain stem, and temporal lobe on brain magnetic resonance images.

Norio Hayashi1, Shigeru Sanada, Masayuki Suzuki, Yukihiro Matsuura, Kazuhiro Kawahara, Hideo Tsujii, Tomoyuki Yamamoto, Osamu Matsui.   

Abstract

PURPOSE: The aim of this study was to develop an automated method of segmenting the cerebrum, cerebellum-brain stem, and temporal lobe simultaneously on magnetic resonance (MR) images. METHODS AND MATERIALS: We obtained T1-weighted MR images from 10 normal subjects and 19 patients with brain atrophy. To perform automated volumetry from MR images, we performed the following three steps: (1) segmentation of the brain region; (2) separation between the cerebrum and the cerebellum-brain stem; and (3) segmentation of the temporal lobe. Evaluation was based on the correctly recognized region (CRR) (i.e., the region recognized by both the automated and manual methods).
RESULTS: The mean CRRs of the normal and atrophic brains were 98.2% and 97.9% for the cerebrum, 87.9% and 88.5% for the cerebellum-brain stem, and 76.9% and 85.8% for the temporal lobe, respectively.
CONCLUSION: We introduce an automated volumetric method for the cerebrum, cerebellum-brain stem, and temporal lobe on brain MR images. Our method can be applied to not only the normal brain but also the atrophic brain.

Entities:  

Mesh:

Year:  2008        PMID: 18301988     DOI: 10.1007/s11604-007-0200-0

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  32 in total

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4.  Automatic morphology-based brain segmentation (MBRASE) from MRI-T1 data.

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  2 in total

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2.  Improved cerebellar tissue classification on magnetic resonance images of brain.

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  2 in total

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