| Japanese |
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| Title | 経時的に変化する動態デジタルファントムの作成とモデル解析への応用 |
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| Subtitle | 原著 |
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| Authors | 生駒洋子*, 外山比南子**, 山田貴光*, 上村幸司*, 木村裕一***, 千田道雄**, 内山明彦* |
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| Authors(kana) | |
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| Organization | *早稲田大学理工学部, **東京都老人総合研究所ポジトロン医学研究部門, ***東京医科歯科大学医用器材研究所 |
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| Journal | 核医学 |
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| Volume | 35 |
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| Number | 5 |
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| Page | 293-303 |
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| Year/Month | 1998/6 |
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| Article | 原著 |
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| Publisher | 日本核医学会 |
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| Abstract | 「要旨」コンパートメントモデル解析におけるノイズとパラメータの精度の関係を評価するために, MRIから抽出した大脳皮質, 白質, 脳室, および小脳の各領域を用いて実際の脳の形状に則した動態デジタルファントムを作成する方法を開発し, 各ピクセルの組織時間放射能曲線に0〜20%のノイズを付加した18F-FDG, 11C-flumazenil (FMZ) の脳の動態デジタルファントムを作成した. ノイズの割合はFDGでは投与後早期に高く, FMZでは時間とともに増加した. このファントムと修正 Marquardt 法を用いて付加ノイズの大きさと算出したパラメータの信頼度について検討した結果, ノイズの増加とともに真値との差が大きくなった. フィット誤差から臨床データのノイズを推定するとFDGで10〜20%, FMZで20〜40%となり, その時の精度はFDGの K-complex で20%, FMZの分布容積(DV)で2%であった. |
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| Practice | 臨床医学：一般 |
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| Keywords | Compartment model, Digital phantom, Modified Marquardt method, 18F-FDG, 11C-flumazenil |
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| English |
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| Title | Creation of a Dynamic Digital Phantom and Its Application to a Kinetic Analysis |
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| Subtitle | Original Articles |
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| Authors | Yoko IKOMA*, Hinako TOYAMA**, Takamitsu YAMADA*, Koji UEMURA*, Yuichi KIMURA***, Michio SENDA**, Akihiko UCHIYAMA* |
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| Authors(kana) | |
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| Organization | *The School of Science and Technology, Waseda University, **Positron Medical Center, Tokyo Metropolitan Institute of Gerontology, ***Institute for Medical and Dental Engineering, Tokyo Medical and Dental University |
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| Journal | The Japanese Journal of nuclear medicine |
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| Volume | 35 |
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| Number | 5 |
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| Page | 293-303 |
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| Year/Month | 1998/6 |
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| Article | Original article |
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| Publisher | THE JAPANESE SOCIETY OF NUCLEAR MEDICINE |
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| Abstract | A dynamic digital brain phantom was created from the MRI to evaluate visually the relationship between the noise and the error in the parameter estimates in the PET kinetic analysis. This phantom incorporates the noise level depending on administration dose, camera efficiency and the data acquisition schedule. We simulated a serial dynamic scan with 18F-FDG or 11C-flumazenil, assuming 2-tissue 3-parameter model and 1-tissue 2-parameter model, respectively, and the sampling schedule was determined according to the clinical examination. The noise in the tissue time activity curve in FDG had a peak in the first minute and decreased thereafter, whereas the noise increased gradually in the flumazenil study after the initial peak due to radioactivity decay. We examined the relationship between the noise level and the error in the parameter estimates. Both mean absolute differences between true and estimated values and standard deviation became large, and the quality of the parametric images became poor with increasing noise level. This simulation was compared with human tissue time activity curves and parametric images, which were obtained with 100 MBq administration dose in FDG study and 430 MBq in flumazenil study. We inferred that the noise level in the human study was 10 - 20% in FDG, and 20 - 40% in flumazenil, and the error in the estimated parameter of K-complex in FDG study was about 20%, that of DV in flumazenil study was 2%. |
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| Practice | Clinical medicine |
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| Keywords | Compartment model, Digital phantom, Modified Marquardt method, 18F-FDG, 11C-flumazenil |
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