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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, MI, IE, SIP |
2018-05-18 10:15 |
Gifu |
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Electronic Cleansing for CT Colonography using Deep Learning Rie Tachibana (NIT, Oshima College), Janne J. Nappi, Toru Hironaka, Hiroyuki Yoshida (MGH/HMS) SIP2018-8 IE2018-8 PRMU2018-8 MI2018-8 |
Although colonoscopy is considered as a standard procedure for colon cancer screening, CT colonography (CTC) has recentl... [more] |
SIP2018-8 IE2018-8 PRMU2018-8 MI2018-8 pp.35-37 |
MI |
2015-03-03 15:10 |
Okinawa |
Hotel Miyahira |
[Special Talk]
Creation of Medical Imaging Engineering Using X-Ray Optics due to Refraction Called X-Ray Dark-Field Imaging and Its Application to Multidisciplinary Computational Anatomy Masami Ando (TUS), Tetsuya Yuasa (YU), Naoki Sunaguchi (GU), Kensaku Mori (NU), Yoshifumi Suzuki (KIT), Shu Ichihara (Nagoya Medical Center), Rajiv Gupta (MGH) MI2014-113 |
Using a thickness controlled Laue type angle analyzer one can obtain high spatial resolution and high contrast imaging. ... [more] |
MI2014-113 pp.295-300 |
MI |
2014-01-27 10:50 |
Okinawa |
Bunka Tenbusu Kan |
Distortion correction and synthesis of 2D histology images of brain tumor using macro images Toru Tanaka, Takashi Ohnishi (Chiba Univ.), Yukako Yagi, Noriaki Hashimoto (MGH/HMS), Jennie Taylor (MGH), Matija Snuderl (NYU), Hideaki Haneishi (Chiba Univ.) MI2013-96 |
For detailed analysis and diagnosis of glioblastoma (GBM), it is required to compare pathological images with MR images ... [more] |
MI2013-96 pp.219-224 |
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 |
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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 |
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