Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
2012-01-20 15:35 |
Okinawa |
|
Validation of Spatio-temporal Reconstruction Algorithm Based on DRAMA Using Small Animal Dynamic PET Data Tatsuya Kon, Takashi Obi, Nagaaki Ohyama (Tokyo Inst. of Tech.), Yuichi Kimura (National Inst. of Radiological Sci.) MI2011-155 |
The accuracy of the estimated parametric images is largely dependent on that of the tissue time activity curves (tTACs.)... [more] |
MI2011-155 pp.431-435 |
MI |
2010-01-28 09:55 |
Okinawa |
Naha-Bunka-Tenbusu |
Determination of starting time for graphical analysis using X-square test in PET receptor imaging Hiroto Ogaki (Chiba Univ/NIRS), Kazuya Sakaguchi (NIRS), Mikio Suga (Chiba Univ/NIRS), Yuichi Kimura (NIRS/Chiba Univ) MI2009-75 |
This study aims at developing an algorithm to estimate a starting point, t*, for Logan Graphical Analysis (LGA) and Mult... [more] |
MI2009-75 pp.1-6 |
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 |
2010-01-28 11:40 |
Okinawa |
Naha-Bunka-Tenbusu |
Estimation algorithm using direct search method in PET neuroreceptor quantification Yosuke Okanishi (Chiba Univ.), Yuichi Kimura, Mikio Suga (National Inst. of Radiological Sci./Chiba Univ.) MI2009-84 |
In a compartment model analysis using positron emission tomography (PET), some problems arises in non-linear estimation:... [more] |
MI2009-84 pp.53-56 |
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 |
MI |
2006-11-13 09:50 |
Tokyo |
TMIG |
Omission of arterial blood sampling in PET neuroreceptor mapping using intersectional searching method
-- Improvement of the blood curve estimation using the selection of voxels base on singular values and the clustering -- Junichi Yano (Waseda Univ), Mika Naganawa (TMIG PET), Masao Yanagisawa (Waseda Univ), Yuichi Kimura (TMIG PET) |
[more] |
MI2006-72 pp.13-18 |
MI |
2006-11-13 10:15 |
Tokyo |
TMIG |
Partial Volume Correction in PET with Projections Onto Convex Sets.
-- The Comparison of Estimated Result Affected by Convex Sets Combination. -- Shigeo Chiyoda (Waseda Univ.), Mika Naganawa (JSPS), Tatsuo Togawa (Waseda Univ.), Yuichi Kimura (TMIG PET) |
[more] |
MI2006-73 pp.19-23 |
MI |
2006-01-27 10:45 |
Okinawa |
Miyakojimashi-Chuo-Kouminkan |
Imaging detailed cerebral glucose metabolism in PET using maximum a posterior criterion and pattern recognition
-- Search algorithm in feature space -- Jun Yamaguchi (Waseda Univ.), Yuichi Kimura (PET Center, Tokyo), Mika Naganawa (Nara Inst Sci and Tech), Akihiko Uchiyama, Masao Yanagisawa (Waseda Univ.) |
[more] |
MI2005-69 pp.13-16 |
MI |
2006-01-27 11:00 |
Okinawa |
Miyakojimashi-Chuo-Kouminkan |
Automatic Extraction of Brain Surface from FDG-PET Images Using Morphological Filter Yoshinori Yamamoto (Musashi Inst. of Tech.), Yuichi Kimura (PET, Tokyo Metro.), Masaki Kyoso, Masayuki Ishijima (Musashi Inst. of Tech.) |
We propose the automatic extraction of brain surface from FDG-PET images using morphological filters. FDG-PET images rep... [more] |
MI2005-70 pp.17-20 |
MI |
2005-01-22 16:50 |
Okinawa |
Univ. of the Ryukus |
Partial Volume Correction in PET based on Segmented Brain MRI with Statistical Clustering and Morphological Filter Hitoshi Ozaki (Waseda Univ.), Yuichi Kimura (TMIG PET), Akihiko Uchiyama (Waseda Univ.) |
An algorithm for partial volume correction in PET images was proposed based on anatomical information extracted from a M... [more] |
MI2004-108 pp.151-156 |