Partial volume correction for Brain PET imaging

• Project/Area Number: 15K08687
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Medical Physics and Radiological Technology
• Research Institution: Tohoku University
• Principal Investigator: Shidahara Miho 東北大学, 医学系研究科, 講師 (20443070)
• Co-Investigator(Kenkyū-buntansha): 茨木 正信 秋田県立脳血管研究センター(研究部門), 放射線医学研究部, 研究員 (40360359)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000); Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
• Keywords: 核医学 / PET / 画像処理 / 部分容積効果補正 / アミロイドPET / タウPET / 形態画像 / 部分容積効果 / 誤差解析 / 数値シミュレーション

Outline of Final Research Achievements

Partial volume effect is inevitable phenomena in positron emission tomography (PET)imaging and degrade the quantification of PET images. Partial volume correction (PVC) will improve the quantification of PET images under the perfect condition which is difficult in real clinical study. We aimed to investigate error-propagation properties of PVC algorithms and know properties of PVCs on clinical PET images.
We found that the even small error sources (eg. image-registration, segmentation), this surely propagate to the outcome and its amount is not small. In clinical data, different PVC algorithms provided difference amount of recovery and this tendency was also different among subject conditions. PVC is very sensitive with the mismatch between anatomy and PET images, so hybrid algorithms would be suitable for practical and robust PVC rather than anatomy-based method.

Research Products

• [Int'l Joint Research] University College London(英国)
• [Int'l Joint Research] University College London(英国)
• [Journal Article] A comparison of five partial volume correction methods for Tau and Amyloid PET imaging with [(18)F]THK5351 and [(11)C]PIB. (2018)
  • Author(s): Shidahara M, Thomas BA, Okamura N, Ibaraki M, Matsubara K, Oyama S, Ishikawa Y, Watanuki S, Iwata R, Furumoto S, Tashiro M, Yanai K, Gonda K, Watabe H.
  • Journal Title: Ann Nucl Med. Volume: 59 Issue: 7 Pages: 671-674
  • DOI: 10.1007/s12149-017-1185-0
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Prediction of the clinical standardized uptake value ratio in amyloid PET imaging using a biomathematical modeling approach towards the efficient development of a radioligand. (2017)
  • Author(s): Arakawa Y, Nai Y, Shidahara M, Furumoto S, Seki C, Okamura N, Tashiro M, Kudo Y, Yanai K, Gonda K, Watabe H.
  • Journal Title: J Nucl Med. Volume: - Issue: 8 Pages: 1285-1292
  • DOI: 10.2967/jnumed.116.183566
  • Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
• [Presentation] アルツハイマー病診断を目的としたタウPET画像に対する部分容積効果補正法の基礎検討 (2016)
  • Author(s): 小山千莉、志田原美保, Benjamin A Thomas, 松原佳亮、茨木正信、渡部浩司、権田幸祐
  • Organizer: 第36回日本核医学技術学会学術大会
  • Place of Presentation: 名古屋国際会議場(名古屋)
  • Year and Date: 2016-11-03
• [Presentation] アミロイドPETにおける画像処理技術について 部分容積効果補正など (2016)
  • Author(s): 志田原美保
  • Organizer: 第62回群馬県核医学研究会
  • Place of Presentation: 群馬大学(前橋)
  • Invited
• [Remarks] SFSRR Software
  • URL: http://www.noninvasive.med.tohoku.ac.jp/ShidaharaLab/SFSRR.html