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

Radiation medicine Pub Date : 2008-02-01 Epub Date: 2008-02-27 DOI:10.1007/s11604-007-0200-0

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

{"title":"Semiautomated volumetry of the cerebrum, cerebellum-brain stem, and temporal lobe on brain magnetic resonance images.","authors":"Norio Hayashi, Shigeru Sanada, Masayuki Suzuki, Yukihiro Matsuura, Kazuhiro Kawahara, Hideo Tsujii, Tomoyuki Yamamoto, Osamu Matsui","doi":"10.1007/s11604-007-0200-0","DOIUrl":null,"url":null,"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.","PeriodicalId":49640,"journal":{"name":"Radiation medicine","volume":"26 2","pages":"104-14"},"PeriodicalIF":0.0000,"publicationDate":"2008-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11604-007-0200-0","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11604-007-0200-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2008/2/27 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

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.

查看原文本刊更多论文

在脑磁共振图像上对大脑、小脑-脑干和颞叶进行半自动化体积测量。

目的:本研究的目的是开发一种在磁共振(MR)图像上同时分割大脑、小脑-脑干和颞叶的自动方法。方法与材料:对10例正常人和19例脑萎缩患者进行t1加权磁共振成像。为了从MR图像中进行自动体积测量，我们执行了以下三个步骤:(1)分割大脑区域;(2)大脑与小脑-脑干分离;(3)颞叶分割。评估基于正确识别的区域(CRR)(即自动和手动方法同时识别的区域)。结果:正常脑和萎缩脑的平均crr分别为:大脑98.2%和97.9%，小脑-脑干87.9%和88.5%，颞叶76.9%和85.8%。结论:我们介绍了一种在脑MR图像上对大脑、小脑-脑干和颞叶进行自动体积测量的方法。该方法不仅适用于正常脑，也适用于萎缩脑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Radiation medicine

自引率

0.00%

发文量