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Address and access to our laboratory

2-24-16 Naka-cho, Koganei-shi, Tokyo 184-0012
Tokyo University of Agriculture and Technology

Take the JR Chuo Line (rapid train) from Tokyo Station to Higashi-Koganei Station: about 40 minutes.
Walk about 15 minutes from Higashi-Koganei Station to our laboratory; Room 301(south) and 302 at 3rd floor of "5th bldg. at Koganei Campus"

Active major projects of MIA lab.

"Multidisciplinary Computational Anatomy"

"BRAIN/MINDS"

News

2017

  • 19-20 January
    IFMIA2017 will be held in Okinawa.

2016

  • 1 September
    We started collaboration researches with Auckland University using fund of Catalyst:Seeding.
  • 14 January
    PhD defense presentation by Mr. Atsushi Saito
    Date: 14th January, 14:45〜
    Place: Bldg.3 Room 210
    Title: Abdominal organ segmentation based on a statistical shape model

2015

  • 13 January
    Mr. Reito Oshima received a best paper award in IFMIA2015.

2014

  • 8,9 March
    The Final International Symposium on the Project "Computational Anatomy" was held at the University of Tokyo.

2013

  • 29 Nov. - 18 Dec.
    Laboratory tour for 3rd degree undergraduate students : No reservation is required
    Time : 14:45-18:00(Tuesday, Friday), 16:00-18:00(12/9,16)

2012

  • 17 Nov
    Mr. Shun Umetsu received a best poster award in IFMIA2012.

2011

  • Dec MIA lab. has started collaborative research with CANON.
  • 17 July
    The former president Kobatake gave a final lecture and a party was held.
  • 19 May
    Mr. Yuji Uchida who graduated from our lab. in this March was awarded the research encouraging prize (Kenkyu Syourei-sho in Japanese) from Medical Imaging Group of IEICE.

2010

  • 31 July
    Mr. Ippei Nomura who graduated from MIA lab. in this March was awarded the encouraging prize (Syourei-sho in Japanese) in JAMIT annual meeting.

2009

  • 4 August
    Mr. Takuya Narihira (M2) won in the competition of automatic liver tumor segmentation in JAMIT annual meeting 2009.
  • 21 January
    Mr. Takuya Narihira (M1) and Mr. Tatsuya Kimoto (M2) were awarded poster prizes simultaneously in IFMIA 2009.

2008

  • 14 October Post doctoral researcher Dr. Oost of Leiden Univ. Medical Center in the Netherlands has joined our laboratory.

Mission

Goal of the medical image analysis laboratory is the research, development and validation of image processing algorithms and computer-aided diagnosis systems that enable the objective and reproducible evaluation of anatomical and pathological structures in medical images.

Research topics

Jump to page of research topics

Gallery (Click "Research topics" for the latest achievements)

Segmentation algorithms

  • Simultaneous segmentation of 12 organs in an upper abdominal non-contrast CT image.
    multiorgan.jpg
  • Pancreas segmentation from contrast enhanced CT images.
    pancreas.gif
  • Liver tumor segmentation from a contrast enhanced CT image [It won 1st prize in the international competition 2008. see "News"].
    lts.gif

Recent selected papers

1) Atsushi Saito, Seiji Yamamoto, Shigeru Nawano, Akinobu Shimizu : Automated liver segmentation from a postmortem CT scan based on a statistical shape model, International Journal of Computer Assisted Radiology and Surgery, 2016
doi: 10.1007%2Fs11548-016-1481-5

2) Shouhei Hanaoka, Akinobu Shimizu, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani : Automatic detection of over 100 anatomical landmarks in medical CT images: a framework with independent detectors and combinatorial optimization, Medical Image Analysis, Volume 35, January 2017, Pages 192–214
doi:10.1016/j.media.2016.04.001

3) Iwao Hasegawa , Akinobu Shimizu, Atsushi Saito, Hideto Suzuki, Hermann Vogel, Klaus Püschel, Axel Heinemann : Evaluation of post-mortem lateral cerebral ventricle changes using sequential scans during post-mortem computed tomography, International Journal of Legal Medicine, pp.1-6, 2016
doi:10.1007/s00414-016-1327-2

4) Atsushi Saito, Shigeru Nawano and Akinobu Shimizu : Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs, Medical Image Analysis, vol.28, pp.46-65, 2016
DOI: http://dx.doi.org/10.1016/j.media.2015.11.003

5) Shun Umetsu, Akinobu Shimizu, Hidefumi Watanabe, Hidefumi Kobatake, Shigeru Nawano : An automated Segmentation Algorithm for CT Volumes of Livers with Atypical Shapes and Large Pathological Lesions. IEICE TRANSACTIONS on INF. & SYST., vol.E97-D, no.4, pp.951-963, 2014
http://search.ieice.org/bin/summary.php?id=e97-d_4_951

6) Sho Tomoshige, Elco Oost, Akinobu Shimizu, Hidefumi Watanabe, Shigeru Nawano : A conditional statistical shape model with integrated error estimation of the conditions; application to liver segmentation in non-contrast CT images, Medical Image Analysis, vol.18, pp.130-143, 2014, DOI: 10.1016/j.media.2013.10.003

7) Atsushi Saito, Akinobu Shimizu, Hidefumi Watanabe, Seiji Yamamoto, Shigeru Nawano and Hidefumi Kobatake : Statistical Shape Model of a Liver for Autopsy Imaging, International Journal of Computer Assisted Radiology and Surgery, 2013 http://dx.doi.org/10.1007/s11548-013-0923-6

8) Akinobu Shimizu, Takuya Narihira, Daisuke Furukawa, Hidefumi Kobatake, Shigeru Nawano and Kenji Shinozaki : Ensemble learning based segmentation of metastatic liver tumours in contrast-enhanced computed tomography.IEICE TRANSACTIONS on INF. & SYST., vol.E96-D, no.4, pp.864-868, 2013. http://search.ieice.org/bin/summary.php?id=e96-d_4_864

9) Keita Nakagomi, Akinobu Shimizu, Hidefumi Kobatake, Masahiro Yakami, Koji Fujimoto,Kaori Togashi : Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume, Medical Image Analysis, 17, pp.62-77, 2013 http://dx.doi.org/10.1016/j.media.2012.08.002

10) A. Shimizu, T. Kitasaka, S. Nawano, K. Shinozaki and Y. Tateno : 3D Medical Image Processing Algorithm Competition in Japan, Proc of International Forum on Medical Imaging in Asia (IFMIA) 2011, S1-2, 2011

>>PDF

11) Akinobu Shimizu, Tatsuya Kimoto, Hidefumi Kobatake, Shigeru Nawano, Kenji Shinozaki : Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography, International Journal of Computer Assisted Radiology and Surgery, 2009, DOI 10.1007/s11548-009-0384-0

>>PDF

12) Akinobu Shimizu, Takuya Narihira, Daisuke Furukawa, Hidefumi Kobatake, Shigeru Nawano and Kenji Shinozaki : Ensemble segmentation using AdaBoost? with application to liver lesion extraction from a CT volume, Proc. of workshop in MICCAI2008, 2008

13) Ludvik Tesar , Akinobu Shimizu, Daniel Smutek, Hidefumi Kobatak, Shigeru Nawano : Medical image analysis of 3D CT images based on extension of Haralick texture features, Computerized Medical Imaging and Graphics 32, pp.513–520, 2008

>>PDF

14) Akinobu Shimizu, Rena Ohno, Takaya Ikegami, Hidefumi Kobatake, Shigeru Nawano, Daniel Smutek : Segmentation of multiple organs in non-contrast 3D abdominal CT images, International Journal of Computer Assisted Radiology and Surgery , vol.2, no.3-4, pp.135-142, 2007

>>PDF

15) Cong Yao, Takashige Wada, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano : Probabilistic Atlas-guided Eigen-organ Method for Simultaneous Bounding Box Estimation of Multiple Organs in Volumetric CT Images, Medical Imaging Technology, Vol.24, No.3, 2006

>>PDF

添付ファイル: file31st Multi-disciplinary computational anatomy seminar.pdf 84件 [詳細] fileCall_for_Papers_IFMIA2017_v3.pdf 828件 [詳細] fileCFP_IJCARS.pdf 306件 [詳細] file19th Multi-disciplinary computational anatomy seminar.pdf 234件 [詳細] filelts.gif 769件 [詳細] filemultiorgan.jpg 748件 [詳細] filelts08_award.jpg 1411件 [詳細]

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Last-modified: 2016-11-14 (月) 12:44:43 (24d)