Statistical error analysis based on non-parametric bootstrap method of quantitative MBF measurement with H2 15O_PET

Naoki Kawachi, Hiroshi Watabe, Noboru Teramoto, Yoichiro Ohta, Hiroshi Jino, Nobuyuki Kudimo, Kazuyuki Koshino, Kyeong Min Kim, Takuya Hayashi, Hidehiro Iida

研究成果: Conference article査読

抄録

Knowledg of the precision in the physiological parameters estimated by positron emission tomography (PET) is helpful for optimizing PET study and accurate diagnosis. Nonparametric bootstrap method proposed by Buvat is resampling techniques that can be used to accurately estimate the statistical properties of PET images in one scan and determine statistics of pixel values. The standard deviation (SD) of time activity curves (TAC) generated by region of interests (ROI) also are estimated by using the bootstrap method and the SD would propagate to estimated parameters such as blood flow. In order to evaluate the present method, a PET study for myocardial Mood flow (MBF) measurement with H215O_PET was performed. The statistical properties of MBF were estimated and the effects of scan-duration time and ROI size on the SD of MBF were developed.

本文言語English
ページ(範囲)2660-2663
ページ数4
ジャーナルIEEE Nuclear Science Symposium Conference Record
4
出版ステータスPublished - 2004
外部発表はい
イベント2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors - Rome, Italy
継続期間: 2004 10 162004 10 22

ASJC Scopus subject areas

  • 放射線
  • 核物理学および高エネルギー物理学
  • 放射線学、核医学およびイメージング

フィンガープリント

「Statistical error analysis based on non-parametric bootstrap method of quantitative MBF measurement with H<sub>2</sub> <sup>15</sup>O_PET」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル