@article{oai:repo.qst.go.jp:00078023,
 author = {Ikoma, Yoko and Kishimoto, Riwa and Tachibana, Yasuhiko and Omatsu, Tokuhiko and Kasuya, Goro and Makishima, Hirokazu and Higashi, Tatsuya and Obata, Takayuki and Tsuji, Hiroshi and Yoko, Ikoma and Riwa, Kishimoto and Yasuhiko, Tachibana and Tokuhiko, Omatsu and Goro, Kasuya and Hirokazu, Makishima and Tatsuya, Higashi and Takayuki, Obata and Hiroshi, Tsuji},
 journal = {Magnetic resonance imaging},
 month = {Sep},
 note = {Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) measures changes in the concentration of an administered contrast agent to quantitatively evaluate blood circulation in a tumor or normal tissues. This method uses a pharmacokinetic analysis based on the time course of a reference region, such as muscle, rather than arterial input function. However, it is difficult to manually define a homogeneous reference region. In the present study, we developed a method for automatic extraction of the reference region using a clustering algorithm based on a time course pattern for DCE-MRI studies of patients with prostate cancer.},
 pages = {185--192},
 title = {Reference region extraction by clustering for the pharmacokinetic analysis of dynamic contrast-enhanced MRI in prostate cancer},
 volume = {66},
 year = {2019}
}