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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
09:36
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Overfitting Prevention for PET Image Reconstruction using Early Stopping of Deep Image Prior based on Unbiased Risk Estimator
Kaito Matsumura, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KDU), Tatsuya Yokota (NIT) MI2023-65
In recent years, methods for PET image reconstruction using Deep Image Prior (DIP) have been actively studied. In PET im... [more] MI2023-65
pp.106-108
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
10:35
Okayama   [Short Paper] Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior
Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] PRMU2019-24 MI2019-43
pp.69-70
MI 2017-01-18
11:46
Okinawa Tenbusu Naha [Short Paper] Comparison of FDG-PET Image and MR Image in differential dementia diagnosis using machine learning
Xiaoyu Wang (Chiba Univ./Tokyo Metropolitan Geriatric Hospital), Muneyuki Sakata, Kenji Ishii (Tokyo Metropolitan Geriatric Hospital), Yuichi Kimura (Tokyo Metropolitan Geriatric Hospital/KINDAI Univ.), Keii Wagatsuma, Kenji Ishibashi, Jun Toyohara (Tokyo Metropolitan Geriatric Hospital), Noriko Yata, Yoshitsugu Manabe (Chiba Univ.) MI2016-78
 [more] MI2016-78
pp.31-32
MI 2016-11-14
15:00
Tottori Tottori Univ. [Short Paper] Study of Dynamic PET Reconstruction by Low-rank Non-negative Matrix Factorization
Junya Yamada, Hidekata Hontani, Tatsuya Yokota (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KU) MI2016-69
Tissue time activity curves observed in dynamic images are used for kinetic analysis of brain PET. In order for improvin... [more] MI2016-69
pp.31-32
MI 2015-03-02
16:36
Okinawa Hotel Miyahira Eliminations of dura maters from MR Images using probablistic atlas and graph cut technique
Shin-ya Uto, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2014-86
This study aims at proposing algorithm that liminate the dura maters in brain MR images accurately. Ordinary methods oft... [more] MI2014-86
pp.151-155
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Employment of MRI anatomical normalization in statistical comparison of brain FDG-PET -- Improvement of the whole brain extraction process and performance evaluation --
Akihiro Ejiri (Chiba Univ./TMIG), Muneyuki Sakata, Kenji Ishii (TMIG), Yuichi Kimura (Kinki Univ. /TMIG), Keiichi Oda, Jun Toyohara (TMIG), Noriko Yata (Chiba Univ.), Kiichi Ishiwata (TMIG), Yoshitsugu Manabe (Chiba Univ.) MI2013-79
 [more] MI2013-79
pp.127-132
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 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan Improvement of precision in FreeSurfer analysis for human brain MRI volumetry by optimum threshold setting
Mika Tanaka (TMIG/MICRON), Kenji Ishii, Muneyuki Sakata, Kiichi Ishiwata (TMIG) MI2013-114
FreeSurfer is noticed as a tool for detailed analysis of the brain forms images. However, analysis results are affected ... [more] MI2013-114
pp.309-313
MI 2013-01-24
11:05
Okinawa Bunka Tenbusu Kan Performance improvements using MRI anatomical normalization in statistical comparison of brain FDG-PET for dementia diagnosis
Ryosuke Mizuno (Chiba Univ./TMIG), Muneyuki Sakata, Kenji Ishii, Keiichi Oda, Jun Toyohara, Kiichi Ishiwata (TMIG), Yuichi Kimura (NIRS/Chiba Univ.) MI2012-66
Statistical comparisons to detect significant decreases of glucose metabolism in brain images of positron emission tomog... [more] MI2012-66
pp.25-29
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
MI 2010-01-28
10:05
Okinawa Naha-Bunka-Tenbusu A Strategy to Improve PET Neuroreceptor Analysis MA1 Based on Statistics of Measurement Errors
Naoki Hoshino, Hidekata Hontani (Nagoya Inst. of Tech.), Mika Naganawa, Kazuya Sakaguchi (National Inst. of Radiological Sci.), Muneyuki Sakata, Kiichi Ishiwata (Tokyo Metro Inst. of Gerontology), Yuichi Kimura (National Inst. of Radiological Sci.) MI2009-76
In this article, we propose a new method for improving MA1, which
estimates total distribution volume $V_{\rm T}$, the ... [more]
MI2009-76
pp.7-12
MI 2008-09-17
14:10
Kyoto Shimadzu Corp. Determination of starting point for Logan graphical analysis using run test to improve PET neuroreceptor quantification
Hiroto Ogaki (Chiba Univ), Yuichi Kimura, Mika Naganawa (NIRS), Muneyuki Sakata (TMIG), Miho Sidahara (NIRS), Mikio Suga (Chiba Univ) MI2008-40
This study aims at developing an algorithm to estimate a starting point, t*, for Logan Graphical Analysis (LGA). LGA is ... [more] MI2008-40
pp.27-31
 Results 1 - 14 of 14  /   
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