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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2014-01-27
13:30		 Okinawa Bunka Tenbusu Kan Comparison between a Renormalization Method for Linear Regression and a Bayes Method for Denoizing with respect to Improvement of Dynamic PET Image Analysis
Takahiro Kozawa, Hidekata Hontani (Nagoya Inst. of Tech.), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2013-109		 The tissue time activity curve (tTAC) represents a time variation of radioactivity of ligand in the brain derived from b... [more] MI2013-109
pp.285-290
MI 2013-01-25
13:10		 Okinawa Bunka Tenbusu Kan Influence of rate constants as the prior to performance of denoising tissue time activity curves for PET kinetic analaysis
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMIG), Yuichi Kimura (NIRS) MI2012-117		 A Bayesian approach to de-noise tissue time activity curves (tTAC) is proposed. The proposed method estimate the posteri... [more] MI2012-117
pp.287-292
MI 2012-07-19
15:40		 Yamagata Yamagata Univ. Bayesian Inference Approach to Visualize Neuroreceptor Density using Positron Emission Tomography without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2012-26		 A Bayesian approach to de-noise tissue time activity curves (tTAC) is proposed in order to quantitatively visualize neur... [more] MI2012-26
pp.29-34
MI 2012-01-19
10:30		 Okinawa   Bayesian Approach for the Denoising to PET Dynamic Data without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2011-79		 In this report, we propose a new method for denoising tissue time activity curve (tTAC) measured from brain PET images. ... [more] MI2011-79
pp.11-16
 Results 1 - 4 of 4  /   
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