| Japanese |
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| Title | 脳血流SPECTの客観的評価法の開発 |
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| Subtitle | 技術報告 |
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| Authors | 川島隆太*, 佐藤和則*, 伊藤浩*, 小山真道*, 後藤了以*, 吉岡清郎*, 小野修一*, 佐藤多智雄*, 福田寛* |
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| Organization | *東北大学加齢医学研究所機能画像医学研究分野 |
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| Journal | 核医学 |
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| Volume | 33 |
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| Number | 12 |
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| Page | 1359-1362 |
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| Year/Month | 1996/12 |
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| Article | 報告 |
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| Publisher | 日本核医学会 |
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| Abstract | 「要旨」 99mTc-HMPAOや99mTc-ECDは脳血流SPECT検査に用いられているが, 定量画像を作成することは技術的に容易ではない. しかし, 定性画像では客観的評価が難しいこともしばしば経験する. 今回われわれは解剖学的標準化手法を応用した, 新しい脳血流SPECT画像の統計的評価法を考案した. 以前に報告したように, RolandらのHBAシステムを利用して解剖学的に標準化した正常被験者の脳血流画像(99mTc-ECD 10名)から, 平均画像と標準偏差画像を作成して正常データベースとした. このデータベースと1被験者の脳血流SPECTを解剖学的に標準化した画像から, ボクセルごとに偏差値((被験者の値-平均値)/標準偏差値×10+50)を計算し統計画像化した. この統計画像を用いて, 客観的な脳血流SPECT画像の評価を行い得る可能性が示唆された. |
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| Practice | 臨床医学：一般 |
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| Keywords | SPECT, Human brain, Anatomical standardization, Cerebral blood flow, Normal database, Statistical image |
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| English |
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| Title | Development of a New Statistical Evaluation Method for Brain SPECT Images |
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| Subtitle | Technical Reports |
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| Authors | Ryuta KAWASHIMA, Kazunori SATO, Hiroshi ITO, Masamichi KOYAMA, Ryoui GOTO, Seiro YOSHIOKA, Shuichi ONO, Tachio SATO, Hiroshi FUKUDA |
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| Authors(kana) | |
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| Organization | Department of Nuclear Medicine and Radiology, IDA C, Tohoku University |
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| Journal | The Japanese Journal of nuclear medicine |
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| Volume | 33 |
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| Number | 12 |
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| Page | 1359-1362 |
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| Year/Month | 1996/12 |
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| Article | Report |
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| Publisher | THE JAPANESE SOCIETY OF NUCLEAR MEDICINE |
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| Abstract | [Summary] The purpose of this study was to develop a new statistical evaluation method for Brain SPECT images. First, we made normal brain image databases using 99mTc-ECD and SPECT in 10 normal subjects as described previously. Each SPECT images were globally normalized and anatomically standardized to the standard brain shape using Human Brain Atlas (HBA) of Roland et al. and each subject's X-CT. Then, mean and SD images were calculated voxel by voxel. For the next step, 99mTc-ECD SPECT images of a patient were obtained, and global normalization and anatomical standardization were performed as the same way. Then, a statistical map was calculated as following voxel by voxel; (P-Mean)/SD×10+50, where P, Mean and SD indicate voxel value of patient, mean and SD images of normal databases, respectively. We found this statistical map was helpful for clinical diagnosis of brain SPECT studies. |
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| Practice | Clinical medicine |
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| Keywords | SPECT, Human brain, Anatomical standardization, Cerebral blood flow, Normal database, Statistical image |
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