The 1st Conference on Biomedical Imaging
Program & Abstract
March 15, 2014
Icho Kaikan, Osaka University	

生体医用画像研究会 第1回若手発表会
プログラム・抄録集
2014年3月15日
大阪大学 銀杏会館

- CONTENTSJSMBE-BMI2013-01

Visualization of the history of the brain activity usingmanganese-enhanced MRI
Satomi Kikuta (Tohoku University), Yukiyo Nakamura (Tokushima University), Yukio Yamamura(Tokushima University), Yuchio Yanagawa (Gunma University), Noriyasu Homma (Tohoku
University), Jiro Kasahara (Tokushima University), Makoto Osanai (Tohoku University)
JSMBE-BMI2013-02

Bimodal imaging of atherosclerotic plaque using CRS-SHG microscopy system
Harsono CAHYADI (Osaka Univ.), Tomoyo TAO (Osaka Univ.), Hirohiko NIIOKA (Osaka Univ.),
Shuichiro FUKUSHIMA (Osaka Univ.), Tsutomu ARAKI (Osaka Univ.), Mamoru HASHIMOTO(Osaka Univ.)
JSMBE-BMI2013-03

Computer assisted measurement based on automation of Patlak Plot method for mean
cerebral blood flow on dynamic scintigrams.
Katsuaki Yamazaki (Gifu University), Takeshi Hara (Gifu University), Hiroshi Tago (Japanese
Red Cross Gifu Hospital), Daisuke Fukuoka (Gifu University), Tetsuro Katafuchi (Gifu Universityof Medical Science), Hiroo Goto (Japanese Red Cross Gifu Hospital), Hiroshi Fujita (Gifu
Univercity)
JSMBE-BMI2013-04

Multi-colored cathodoluminescence/up-conversion luminescence bioimaging withrare-earth doped nanophosphors
Shoichiro Fukushima (Osaka University), Taichi Furukawa (Osaka University), Hirohiko Niioka(Osaka University), Masayoshi Ichimiya (Osaka University), Jun Miyake (Osaka University), Masaaki
Ashida (Osaka University, Osaka Dental University), Tsutomu Araki (Osaka University), and Mamoru
Hashimoto (Osaka University)
JSMBE-BMI2013-05

Three-dimensional reconstruction of blood vessel network using automatic point
registration among multiple ultrasound volumes
Tuan Hung PHAN, Shinya ONOGI and Kohji MASUDA (Tokyo University of Agriculture andTechnology)
JSMBE-BMI2013-06

Non-invasive pathological analysis of solid cancer cell by using MR
Jin Nakatani (Shiga University of Medical Science), Tomoko Katoh(Shiga University of Medical
Science), Sakae Fujimoto(Gumma Prefectural Cancer center) ,Shigehiro Morikawa (Shiga Universityof Medical Science),Toshiro Inubushi (Shiga University of Medical Science)
JSMBE-BMI2013-07

Simulation-based Patient-specific Prediction of Good Guidewire Shape inCatheterization
Shunta Hirayama(Osaka University), Toshiyuki Okada(Osaka University), Keigo Osuga(Osaka
University), Masatoshi Hori(Osaka University), Yen-Wei Chen(Ritsumeikan University), Noriyuki
Tomiyama(Osaka University), Yoshinobu Sato(Osaka University)
JSMBE-BMI2013-08

Development of application software for 3D medical images using the Natural User
Interface
Shun Kanai(Tokyo City University), Kiyomi Niki(Tokyo City University)

1

JSMBE-BMI2013-09

Current situation and problems of interactive medical image teleconference using open
source software
Kazuhiro Ito (Kyoto Yamashiro Medical Center, Kyoto Prefectural University of Medicine), Junichi
Shimada (Kyoto Prefectural University of Medicine), Daishiro Kato (Kyoto Prefectural University of
Medicine), Masanori Shimomura (Kyoto Prefectural University of Medicine), Hiroaki Tsunezuka(Kyoto Prefectural University of Medicine)
JSMBE-BMI2013-10[Invited Lecture] Imaging Techniques in Interventional MRI
Kagayaki Kuroda (Tokai University)
JSMBE-BMI2013-11

Development of a Colonoscope Robot with Multiple Propulsion Modes Using
Pneumatic Soft Actuators
Yasuhiko Kuramata (Osaka University), Yuki Horise (Osaka University), Fumio Miyazaki (Osaka
University), Toshikazu Kawai (Osaka Institute of Technology), Atsushi Nishikawa (Shinshu
University)
JSMBE-BMI2013-12

Adaptive Method for Robust Onset Detection in Surface-Electromyography Signals
Claudia Sichting (Bauhaus-University Weimar, Osaka University), Yoshihiro Kuroda (Osaka
University), Kiyoshi Kiyokawa (Osaka University), Haruo Takemura (Osaka University)
JSMBE-BMI2013-13

Multi-atlas and sparse modeling based liver segmentation from a CT volume
Shun Umetsu (Tokyo Univ. of Agri. and Tech.), Akinobu Shimizu (Tokyo Univ. of Agri. and Tech.),Hidefumi Watanabe (Tokyo Univ. of Agri. and Tech.), Shigeru Nawano (International University of
Health and Welfare)
JSMBE-BMI2013-14

Multi-atlas based multi-organ segmentation from an abdominal CT volume
Kohei Yamashita (Tokyo Univ. of Agri. and Tech.), Akinobu Shimizu (Tokyo Univ. of Agri. andTech.), Hidefumi Watanabe (Tokyo Univ. of Agri. and Tech.), Shigeru Nawano (International
University of Health and Welfare)
JSMBE-BMI2013-15

Lung segmentation based on neighbor constraints from a CT volume of a postmortem
body
Satoshi Okata (Tokyo Univ. of Agri. and Tech.), Akinobu Shimizu (Tokyo Univ. of Agri. and Tech.),Hidefumi Watanabe (Tokyo Univ. of Agri. and Tech.), Seiji Yamamoto (Ai information Center),
Shigeru Nawano (International University of Health and Welfare)
JSMBE-BMI2013-16

Improvement of bone fracture detection algorithm from a CT volume of a postmortem
body
Yusuke Takata (Tokyo Univ. of Agri. and Tech.), Akinobu Shimizu (Tokyo Univ. of Agri. and Tech.),Hidefumi Watanabe (Tokyo Univ. of Agri. and Tech.), Seiji Yamamoto (Ai information Center)

2

̶目次̶
JSMBE-BMI2013-01

マンガン造影 MRI を用いて神経活動の履歴を可視化する
菊田 里美 (東北大学), 中村 幸代 (徳島大学), 山村 行生 (徳島大学), 柳川 右千夫 (群馬大学), 本間 経康 (東北大学), 笠原 二郎 (徳島大学), 小山内 実 (東北大学)
JSMBE-BMI2013-02

Bimodal imaging of atherosclerotic plaque using CRS-SHG microscopy system
チャフヤディハルソノ（大阪大学）、田尾智代（大阪大学）、新岡宏彦（大阪大学）、福島修一郎（大阪大学）、荒木勉（大阪大学）、橋本守（大阪大学）
JSMBE-BMI2013-03

脳血流シンチグラムにおけるパトラックプロット法の自動化に基づく平均脳決流量の計測支援システム
山崎 雄章 (岐阜大学)，原 武史 (岐阜大学)，多湖 博史 (岐阜赤十字病院)，福岡 大輔 (岐阜大学)，片渕 哲朗 (岐阜医療科学大学)，後藤 裕夫 (岐阜赤十字病院)，藤田 広志 (岐阜大学)
JSMBE-BMI2013-04

希土類ナノ蛍光体を用いたマルチカラーカソードルミネッセンス・アップコン
バージョン生体観察福島 昌一郎（大阪大学）, 古川 太一（大阪大学）, 新岡 宏彦（大阪大学）, 一宮 正義（大阪大学, 大阪歯科大学）, 三宅 淳（大阪大学）, 芦田 昌明（大阪大学）, 荒木 勉（大阪大学）, 橋本 守（大阪大学）
JSMBE-BMI2013-05

3 次元超音波画像の自動点対応レジストレーションによる血管網情報の再構築
ファン トゥアンフン、小野木 真哉、桝田 晃司 （東京農工大学）
JSMBE-BMI2013-06

MR を用いた癌の非侵襲病理学的解析
中谷仁（滋賀医科大学）、加藤智子（滋賀医科大学）、藤本栄（群馬県立がんセンター）、森川
茂廣（滋賀医科大学）、犬伏俊郎（滋賀医科大学）
JSMBE-BMI2013-07

カテーテル法における患者固有の最適ガイドワイヤ形状推定
平山俊太(大阪大学), 岡田俊之(大阪大学), 大須賀慶悟(大阪大学), 堀雅敏(大阪大学), 陳延偉(立命館大学), 富山憲幸(大阪大学), 佐藤嘉伸(大阪大学)
JSMBE-BMI2013-08

ナチュラルユーザーインターフェースを用いた 3D 医用画像用アプリケーショ
ンソフトウェアの開発
金井俊(東京都市大学)、仁木清美(東京都市大学)

3

JSMBE-BMI2013-09

オープンソースソフトウェアを利用した双方向性遠隔医療画像カンファレンスの現状と問題伊藤 和弘（京都山城総合医療センター、京都府立医科大学），島田 順一（京都府立医科大学），加藤 大志朗（京都府立医科大学），下村 雅律（京都府立医科大学），常塚 啓彰（京都府立医科大学）
JSMBE-BMI2013-10[特別講演] インターベンショナル MRI における画像計測技術
黒田 輝 （東海大学）
JSMBE-BMI2013-11

空気圧ソフトアクチュエータを用いた複数の走行モードを有する大腸内視鏡ロボットの開発
倉又泰彦 (大阪大学), 堀瀬友貴 (大阪大学), 宮崎文夫 (大阪大学), 河合俊和（大阪工業大学）,
西川敦 (信州大学)
JSMBE-BMI2013-12

Adaptive Method for Robust Onset Detection in Surface-Electromyography Signals
Claudia Sichting (Bauhaus-University Weimar, Osaka University)，Yoshihiro Kuroda (Osaka
University)，Kiyoshi Kiyokawa (Osaka University)，Haruo Takemura (Osaka University)
JSMBE-BMI2013-13

マルチアトラスとスパースモデリングに基づく 3 次元 CT 像からの肝臓セグメン
テーション
梅津 駿（東京農工大学），清水 昭伸（東京農工大学），渡部 秀文（東京農工大学），縄野 繁（国際医療福祉大学）
JSMBE-BMI2013-14

マルチアトラス法による 3 次元腹部 CT 像からの複数臓器同時認識
山下 航平（東京農工大学），清水 昭伸（東京農工大学），渡部 秀文（東京農工大学），縄野 繁（国際医療福祉大学）
JSMBE-BMI2013-15

近傍制約に基づく死体の CT 像からの肺野認識
大方 慧志（東京農工大学），清水 昭伸（東京農工大学），渡部 秀文（東京農工大学），山本 正二（Ai 情報センター），縄野 繁（国際医療福祉大学）
JSMBE-BMI2013-16

死体の CT 像からの骨折検出アルゴリズムの改良
高田 祐輔（東京農工大学），清水 昭伸（東京農工大学），渡部 秀文（東京農工大学），山本正二（Ai 情報センター）4

日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-01 (2014-03)

Visualization of the history of the brain activity using
manganese-enhanced MRI
Satomi Kikuta*, Yukiyo Nakamura**, Yukio Yamamura**, Yuchio Yanagawa***, Noriyasu Homma*, Jiro Kasahara**,Makoto Osanai** Tohoku University Graduate School of Medicine, Sendai, Japan.
** Department of Neurobiology and Therapeutics, Institute of Heath Bioscience, Graduate School and Faculty of Pharmaceutical Sciences, The University of Tokushima, Tokushima, Japan.
*** Gunma University Graduate School of Medicine, Maebashi, Japan.

Abstract
All neural diseases are caused by changes of brain activities. However, there are few reports on revealing the relationship between the pathological state and the neuronal activity. The activation-induced manganese-enhanced MRI(AIME-MRI) is one of the candidate methods for measuring the neuronal activity noninvasively in vivo. This method has
the potential to measure the history of the neuronal activity, since the Mn2+ inflow to the active neuron through voltage-dependent Ca2+ channels. However, it has not been clear that the relation between the neuronal activity and the accumulation of Mn2+ in the cell. Therefore, at first, we investigated the relation between the neuronal activity and the accumulation of Mn2+ in the neurons. The amount of the Ca2+ influx was correlated to the neuronal activity evoked by tetanic
stimulations with various frequencies. In the same slice preparation, the amounts of the fluorescence quench induced by
the tetanic stimulations under the condition of MnCl2 administration were recorded. As a result, the amount of the quench
was proportional to the amount of the Ca2+ influx. These results suggested that a cell, which has higher activity, accumulated larger amount of Mn2+ in the neuron. It is noted that inverse of T1 measured by MRI is proportional to [Mn2+].
Therefore, our results supported that AIME-MRI can measure the history of the neuronal activities in the whole brain
noninvasively.
Parkinson’s disease is characterized by degeneration of dopaminergic neurons in substantia nigra pars compacta. It is
known that the neuronal activity in striatum was increased following the reduction of the dopamine level in striatum. We
found that the values of T1 obtained by AIME-MRI in striatum were correlated with the pathological states of the Parkinson’s disease. This result suggested that AIME-MRI can visualize the history of the neuronal activity.
Keywords: neuronal activity, calcium, manganese, MRI, Parkinson’s disease.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
5日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-02 (2014-03)

Bimodal imaging of atherosclerotic plaque using CRS-SHG
microscopy system
Harsono Cahyadi, Tomoyo Tao, Hirohiko Niioka, Shuichiro Fukushima, Tsutomu Araki, Mamoru Hashimoto
Graduates School of Engineering Science, Osaka University, Osaka, Japan.

Abstract
The atherosclerotic plaque is blamed as the main reason of certain diseases such as myocardial and celebral infarction,
which in worst case leads to the blocking of the blood flow due to the disruption of the plaque [1, 2]. The primary factorof the disruption is the loosening elasticity of arterial wall due to its thickening because of the progressive disposition oflipid, which is dominated by cholesterol and triglyceride [3]. However, recent studies revealed that the mechanism ofplaque growth is very complex along with the unknown contribution of various components to the plaque compositionand vurnerability [1-4]. Additionally, more extensive studies proved that the elasticity change of the arterial wall also
related to unpredictable remodification of fibrous structure in the endothelial layer confining the plaque [1-4]. The
structure mostly consists of collagen that maintains the strength and integrity of the arterial wall due to its balanced
dynamic of synthesis and degradation [5, 6]. Further studies are still required to provide clear mechanisms of plaquegrowth and collagen remodeling during the atherogenesis. Latest researches on atherosclerosis are concentrated on these
two behaviours and the development of sufficient observation tools for their observation. Combination of coherent Raman
scattering (CRS) and second harmonic generation (SHG) microscopies offers a non-invasive method of selective imaging
for atherosclerosis studies [7-12]. Coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS)
are the most well-known methods in CRS that can sensitively identify lipid [8, 9, 11, 12]. SHG microscopy provides a
powerful detection method for non-centrosymmetric structure such as collagen [10-12]. Integrating a high-speed tunable
laser, such as the acousto optic tunable filter (AOTF) laser, into the bimodal CRS-SHG microscopy system enhances its
capability for fast spectral imaging in order to provide multimolecular detection simultaneously [13].
Keywords: atherosclerosis, plaque, collagen, coherent Raman, bimodal imaging, AOTF laser.
References:[1] J. Weinberger, CNS Spectrum 10(7), 553 – 564, 2005.
[2] A. C. van der Wal; A. E. Becker, Cardiovasc. Res. 41, 334 – 344, 1999.
[3] J. A. Berliner; M. Navab; A. M. Vogelman; et al, Circ. 91(9), 2488 – 2496, 1995.
[4] E. Galkina; K. Ley, Annu. Rev. Immunol. 27, 167 – 197, 2009.
[5] M. D. Rekhter, Cardiovasc. Res. 41, 376 – 384, 1999.
[6] E. Adiguzel; P. J. Ahmad; C. Franco; M. P. Bendeck, Vasc. Med. 14, 73 – 89, 2009.
[7] J. T. Motz; M. Fitzmaurice; A. Miller; et al, JBO 11(2), 021003, 2006.
[8] R. S. Lim; J. L. Suhalim; S. Miyazaki-Anzai; et al, J. Lipid Res. 52, 2177 – 2186, 2011.
[9] J. L. Suhalim; C. Y. Chung; M. B. Lilledahl; et al, Biophys. J. 102, 1988 – 1995, 2012.
[10] R. Cicchi; N. Vogler; D. Kapsokalyvas; et al, J. Biophoton. 6(2), 129 – 142, 2013.
[11] T. T. Le; I. M. Langohr; M. J. Locker; et al, JBO 12(5), 054007, 2007.
[12] A. C. T. Ko; A. Ridsdale; M. S. D. Smith; et al, JBO Lett. 15(2), 020501, 2010.
[13] H. Cahyadi; J. Iwatsuka; T. Minamikawa; et al, JBO 18(9), 096009, 2013.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
6日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-03 (2014-03)

Computer assisted measurement based on automation of Patlak
Plot method for mean cerebral blood flow on dynamic
scintigrams
Katsuaki Yamazaki*, Takeshi Hara*, Hiroshi Tago**, Daisuke Fukuoka***, Tetsuro Katafuchi**** Hiroo Goto**
Hiroshi Fujita** Department of Intelligent Image Information, Gifu University Graduate School of Medicine** Department of Radiology, Japanese Red Cross Gifu Hospital*** Technology Education, Faculty of Education, Gifu University**** Department of Radiological Technology, Gifu University of Medical Science

Abstract
The mean Cerebral Blood Flow (mCBF) by using dynamic scintigrams can be estimated based on the number ofcounts from continuously withdrawn arterial blood, but the withdrawing methods often impose physical burden on
patients. Minimally invasive analysis of mCBF has been proposed as the PATLAK plot method to reduce the burden.
The PATLAK plot method employs the number of counts on the dynamic scintigrams instead of the counts from actual
blood withdrew from artery. However, the PATLAK plot method has complex procedures by operators to determine
ROIs around cerebral hemispheres and aorta. These manual procedures may affect the estimated mCBF.
The purpose of this study was to develop an assisted system in the PATLAK plot method to determine the ROI
shapes and locations, and to confirm the validity of estimated mCBF by comparing the difference between the gold
standard (GS) measurement on patients’ record and the system outputs when a board certificate radiological technologist
uses the proposed system.
The computer assisted measurement consists of the following steps: (1) Time activity curve (TAC) modeling inaortic arch region, (2) Determination of aortic arch regions, (3) Determination of cerebral hemisphere regions, (4)Estimation of time differences between aortic arch and cerebral region, (5) Selection of the required points in thecoefficient calculation, and (6) Measuring mCBF. The similarity of TACs between the models and every TAC in patients’image was obtained by using mutual information at Step (2). The most matched ROI was employed as the aortic archregion. A center of gravity of the head area by using image moment was employed at Step (3). The TACs in the left andthe right region were determined to obtain the CBF in each cerebral region.
We compared the difference between measurements using the proposed system and GS with difference between
measurements using a conventional software and GS in 45 cases. Fig.1 shows the Bland-Altman plot between aconventional system and GS. Fig.2 shows the Bland-Altman plot between the proposed system and GS. As a result ofBland-Altman analysis, only fixed bias of mCBF was observed between a conventional system and the proposed system.
Keywords: scintigram, mCBF, CAD system, quantitative image analysis.

Fig.1 Plots between conventional system and GS.

Fig.2 Plots between proposed system and GS.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
7

日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-04 (2014-03)

Multi-colored cathodoluminescence/up-conversion luminescencebioimaging with rare-earth doped nanophosphors
Shoichiro Fukushima*, Taichi Furukawa*, Hirohiko Niioka*, Masayoshi Ichimiya*,**, Jun Miyake*, Masaaki Ashida*,
Tsutomu Araki*, and Mamoru Hashimoto** Department of Mechanical Science and Bioengineering, Osaka University, Osaka, Japan.
** Department of Physics, Osaka Dental University, Osaka, Japan.

Abstract
Multimodal imaging is an attractive method to observe biological specimens. Correlative light and electron microscopy(CLEM) combines mapping of molecular distribution with light microscopy and detailed analysis of cellular components
with electron microscopy. Comparison between the structural analysis of electron microscopy and the molecular distribution from light microscopy of the samples helps us to analyze cellular functions in more detail. Here we developed multimodal probes for a new CLEM observation with cathodoluminescence (CL) and up-conversion luminescence (UPL).
Because of the electron beam excitation, CL imaging reaches its spatial resolution to 10 nm order and allows us to distinguish the kinds of molecular species by the color of CL. On the other hand, UPL bioimaging allows us to observe samples
with low photodamage and low autofluorescence due to the use of NIR light excitation. To establish multi-colored CL and
UPL bioimaging, rare-earth doped nanophosphors were focused. Three kinds of nanophosphors; Y2O3: Tm, Yb, Y2O3: Ho,
Yb, and Y2O3: Er, Yb were synthesized by urea-based homogeneous precipitation method with optimization for efficient
CL/UPL emission. Under electron beam and NIR light excitation, these nanophosphors emitted blue, green, and red
CL/UPL, respectively. Moreover, these nanophosphors emitted NIR light in different wavelength. Since NIR emissions
are also confirmed under 980 nm NIR excitation, these nanophosphors are applicable to deep bioimaging. Multimodalityof the nanophosphors liberates us from the complications of sample preparation for correlative bioimaging and to obtain
multi-colored informations of kinds of biomolecules with high spatial resolution CL nanoimaging, wide field UPL observation, and NIR-NIR deep bioimaging easily.
Keywords: Nanophosphors, cathodoluminescence, up-conversion luminescence, near-infrared, bioimaging.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
8      2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-05 (2014-03)

Three-dimensional Reconstruction of Blood Vessel Network
using Automatic Point Registration among Multiple UltrasoundVolumesTuan Hung PHAN*, Shinya ONOGI*, Kohji MASUDA** Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology,
Tokyo, Japan.

Abstract
Ultrasound is widely used for diagnosis such as heart or fetus assessment. Moreover, 3D blood vessel can be also acquired as 3D Doppler volume by a matrix array probe (3D probe) without any contrast agents. This information is also
useful for intra-operation or intervention as well as diagnosis. However, Doppler volume is incomplete because obtained
volume dimension is still limited and Doppler signal strength depends on flow direction. Therefore, in this study, we propose a methodology for multi Doppler volume fusion by automatic registration of shared bifurcation points. The proposed
method can be briefly described in following steps, 1) Obtain multiple Doppler volumes from various directions at thesame area in the body by using a 3D probe; 2) Measure Respective probe positions in 1) by a tracking device for initial
registration. 3) Extract bifurcation points of the respective Doppler volumes by 3D thinning processing, 4) Register therespective point sets by using the probe position 2) as an initial transformation, 5) Find the best fitting transformations
from all combinations of the bifurcations using point-based registration. To validate the proposed method, 20 Doppler
volumes of four human subjects were acquired (five volumes per a subject). Fig. shows the fused results of human liver
arteries. In Fig. (a), transformed vascular surfaces are shown. Their color expresses the respective volumes. In Fig. (b),fused centerline of the blood vessel is shown. As for the initial registration based on a tracking device, the errors were
10.35 mm. Meanwhile, the final errors after the proposed registration were 0.53 mm. The results demonstrate that the
proposed method has a great potential for intra-operative blood vessel network extraction to support minimally invasive
surgery or therapy.
Keywords: ultrasound image, 3D image processing, image fusion, vascular network reconstruction.

(a) Fused vascular network(b) Centerlines of the network

Fig. Reconstructed blood vessel network in human liver arteries.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
9日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-06 (2014-03)

MR analysis of solid cancer cell
Jin Nakatani*, Tomoko Katoh*, Sakae Fujimoto***, Shigehiro Morikawa*, Yoko Kojima**, Hiroyuki Sugihara** andToshiro Inubushi** Biomedical MR Center, Shiga University of Medical Science, Shiga, Japan.
** Division of Molecular and Diagnostic Pathology, Shiga University of Medical Science, Shiga, Japan.
*** Gunma Prefectural Cancer Center, Gunma, Japan.

Abstract
MR plays a pivotal role in clinical cancer treatment. But information obtained from MR is very limited, due to the low
sensitivity. We were trying to test the possibility to acquire more detailed biochemical information in cancer, by using
MR. This would applicable to novel diagnostic tool of cancer in clinical field.
Keywords: MR imaging, biomolecule, cancer.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
10日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-07 (2014-03)

Simulation-based Patient-specific Prediction of Good Guidewire
Shape in Catheterization
Shunta Hirayama*, Toshiyuki Okada**, Keigo Osuga**, Masatoshi Hori**, Yen-Wei Chen***, Noriyuki Tomiyama**,
Yoshinobu Sato*** Department of Computer Science, Graduate School of Information Science and Technology, Osaka University, Suita,
Japan.
** Department of Radiology, Graduate School of Medicine, Osaka University, Suita, Japan.
*** Department of Information Science, Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu,
Japan.

Abstract
We address the problem on catheterization planning for smooth and safe insertion of the guidewire to the target branchbased on patient-specific simulations. The guidewire shape is modeled by a statistical shape model (SSM). The SSM parameters are estimated, which minimize the risk of vessel wall injury as well as maximize the reachability to the target
through the physics simulations of the guidewire, catheter, and vessel walls using 3D vessel structures reconstructed frompatient CT data. The estimated shapes are expected to systematically reduce trial-and-error processes and risk of vessel
wall injury involved in catheterization. The material parameters involved in the physics simulations are estimated by using CT images of the vessel phantom and guidewire as calibration data. The proposed method is validated through guidewire insertion experiments using the vessel phantoms constructed from eight patient CT data, each of which has threebranches.
Keywords: optimal therapy planning, interventional radiology, minimally invasive procedure, patient-specific simulation,phantom experiment.

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belongs to the authors.
11日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-08 (2014-03)

Development of application software for 3D medical images
using a natural user interface
Shun Kanai*, Kiyomi Niki** Department of Medical Engineering, Faculty of Engineering, Tokyo City University, Tokyo, Japan

Abstract
The advancement of volume rendering methods has made 3D medical images obtained by computed tomography (CT)popular in clinical practice. However, since a personal computer (PC) in the consulting room only has conventional performance, 3D images on the monitor we observe are usually 2D images in practice. These images are obtained by processing such as coloring and deleting some portions of the image and photographing from a view point beforehand bytechnicians using a workstation. Therefore, it is not possible for physicians to observe the 3D image from arbitrary positions. We have developed a system, which enables us to observe 3D medical images from arbitrary positions and manipulate them on the PC monitor in the consulting room. The 3D image on the monitor is consisted of laminated 2D
images created by a workstation. The position of the image is controlled with a mouth. To process theimage arbitrarily, we used a Leap Motion Controller (LMC), which is one of the controllers for the natural user interface (NUI). The LMC senses the movements of hands and tools, and we can cut out the image by pointing a position with a pointer. This system will help physicians figure out the configuration and structure of organs.
Keywords: Natural User Interface, Leap Motion Controller, 3D medical images.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
12日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-09 (2014-03)

Current Situation and Problems of Interactive Medical Image
Teleconference using Open Source Software
Kazuhiro Ito*,**, Junichi Shimada**, Daishiro Kato**, Masanori Shimomura**, Hiroaki Tsunezuka*** Department of Chest Surgery, Kyoto Yamashiro Medical Center, Kizugawa, Japan.
** Division of Chest Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.

Abstract
We have to participate in a preoperative clinical image conference, sitting beside, watching the same
computer desktop screen, and operating the computer mouse. Recent progress of information andcommunication technology allows us to send a large packet via the high-speed Internet. We propose aneasy and cost-effective method of real-time interactive teleconference using open source software.
Virtual network computing, which is the graphical desktop-sharing system, was used for remotely
controlling another computer. OsiriX, which is an image-processing package, was installed on the server
to share the medical images. We set up a voice communication system using Mumble, a free,cross-platform voice communication application. Client computers connected to the server with the security of virtual private network via the Internet. The presenter shows a CT scans of a patient with lungcancer, remotely controlling the server desktop. Since listeners can also control the remote server desktop,
they can show the exact CT scans which they like to discuss. They can make the interpretation of thepreoperative thoracic computed tomographic images, watching the same desktop screen, talking about
the anatomy of the hilar structures, and interactively operating their computers.
It was easy to establish the encrypted connection because
we only needed to enter some passwords. It was comfortable
to operate the computer, watching the shared desktop screen.
There was little delay of the shared desktop screen during
the teleconference. The voice quality was the same while
talking over the telephone. The network throughput was lessthan 6 Mbps (Figure).
The current problem of the interactive teleconference isthat we would not receive any medical service fees if thespecialized thoracic surgeons did it in detail. However, theycan earn the medical service fees when the radiologists put
the interpretation of the radiograms between distant hospiFigure.
tals. We suppose that the additional fees should incent people
The network throughput during the teleconference.
to invest in research and development.
Real-time interactive medical image teleconference will be available with ease and the cost-effective
way wherever we can access to the high-speed Internet.
Keywords: interactive teleconference, medical images, open source software, medical service fee

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
13日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-11 (2014-03)

Development of a Colonoscope Robot with Multiple Propulsion
Modes Using Pneumatic Soft Actuators
Yasuhiko Kuramata*, Yuki Horise**, Fumio Miyazaki**, Toshikazu Kawai***, Atsushi Nishikawa***** Department of Systems Science, School of Engineering Science, Osaka University, Toyonaka, Japan.
** Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University,
Toyonaka, Japan.
*** Department of Robotics, Faculty of Engineering, Osaka Institute of Technology, Osaka, Japan.
**** Division of Mechanical Engineering and Robotics, Faculty of Textile Science and Technology, Shinshu University,
Ueda, Japan.

Abstract
This paper proposes an advanced colonoscope robot with multiple propulsion modes using pneumatic soft actuators.
Many types of mobile robots have been developed for improving the quality of colonoscopy performance, but each has
only one propulsion mode. Running speed and stability of view are important factors for colonoscopic diagnosis, but it isdifficult to satisfy these two conflicting needs with a single traveling motion.
In this research we developed a colonoscope robot with multiple propulsion modes to combine advantages of various
propulsion movements. The robot has 15 DOF, is shaped like a snake, and is composed of five actuators (three DOF each)and a camera on its head. The actuator, called “Flexible Microactuator”, is made of reinforced silicon rubber and driven
by pneumatic power. It is compact, safe, inexpensive, and disposable and moves smoothly.
An operator (a doctor) controls the robot in a master-slave configuration with a joystick and buttons. The operator
switches the modes with buttons and moves the robot forward and backward or changes the camera direction with thejoystick. The operator can control the 15 DOF robot easily.
The modes are described as follows. (1) Helical rotation mode: Each actuator produces a rolling motion, and the whole
robot runs like spirochete. (2) Snaking mode: The robot produces a waving motion and runs like a snake. (3) Inchworm
mode: The robot extends and contracts its body while holding its head and tail in the colon alternately and runs like an
inchworm. There is the other mode in addition to these three propulsion modes. (4) Watching mode: The robot holds itself
in the colon while the operator controls the camera direction with the joystick.
The robot performed well in an experiment with a colon model that is usually used for training. The operator could insert the robot and examine the colon without difficulty while switching the four modes.
We also confirmed that the robot can run in a hard plastic tube. This indicates that our research can be widely applied toin-pipe inspection endoscopes.
MasterSlaveMoving Direction(1)

Display

Robot

(3)

ControlPC

Camera(2)

Air Supply
Air Tubes(4)

JoystickControl Line

Image Line(a) system configuration.

(b) three propulsion modes and a watching mode.

(c) a colon model image from camera.

Fig. 1. Overview of a Colonoscopic Robot System
Keywords: Endoscope, Mobile Robot, Master-Slave Robot, Pneumatic Soft Actuator.

This article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
14日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-12 (2014-03)

Adaptive Method for Robust Onset Detectionin Surface-Electromyography Signals
Claudia Sichting*,**, Yoshihiro Kuroda**,***, Kiyoshi Kiyokawa**,***, Haruo Takemura**,***
*
**
***

Media Faculty, Bauhaus-University Weimar, Weimar, Germany.
Graduate School of Information Science and Technology, Osaka University, Suita, Japan.
Cybermedia Center, Osaka University, Toyonaka, Japan.

Abstract
Onset Detection is one of the major topics of signal processing of Surface-Electromyography (sEMG). Statisticalmethods for detecting onset time in sEMG rely strongly on selected parameters. If the threshold is too low wrong onset
times will be detected; if it is too high the onset times can be missed. For the input signal of an arm prostheses or an userinterface a careful selected threshold is important. We propose a method for adaptive, real-time detection of onset time insEMG signals by using statistical analysis. Our method is based on the approximated generalized likelihood ratio step
(AGLRstep) detector from Staude [1]. Compared to threshold based methods, statistical methods are most robust and they
provide information about the quality of the detected onset. We measured the performance of AGLRstep detection bycomparing simulating signals for various variance changes and testing different thresholds. With this we are able to selectthresholds that avoid insignificant variance changes while still detecting good onset time. We evaluated the performanceof the proposed method with simulated signals. The results showed good adaption of the threshold over a short time. The
adaptive method is a promising approach for automatic threshold selection for robust onset time detection in sEMG signals. The selected statistical properties allow threshold adaption for different motion tasks.
Keywords: surface electromyography, onset detection, maximum likelihood estimation, adaptive method.

Fig.1 Simulated signal in the left plot with first onset at 200 ms with insignificant variance change of 4 compared to third onset
at 400 ms with variance change of 29. The cumulative sum in the right plot illustrates variance changes as changes of slope.
Acknowledgement
This work was partly supported by Grant-in-Aid for Young Scientists (B) (24700117).
References[1] Stande G, Flachenecker C, Daumer M, Wolf W: Onset detection in surface electromyographic signals: a systematiccomparison of methods. Eurasip Journal on Advances in Signal Processing. 2001(1), pp. 67-81, 2001.

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15

日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-13 (2014-03)

Construction of a probabilistic atlas based on sparse modeling
Shun UMETSU*, Akinobu SHIMIZU*, Hidefumi WATANABE* and Shigeru NAWANO*** Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei Tokyo, 184-0012 Japan** Center for Radiological Sciences, International University of Health and Welfare, 1-4-3 Mita, Minato-ku Tokyo,108-8329 Japan

Abstract
This paper proposes an algorithm to construct a patient specific probabilistic atlas using sparse modeling. We carried out aliver segmentation experiment from contrast enhanced CT volumes. The segmentation results were compared with thoseof a conventional atlas in terms of segmentation accuracy to demonstrate the high performance of the proposed method.
Keywords: CT volume, liver, segmentation, patient specific probabilistic atlas

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16日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-14 (2014-03)

Multi-atlas based multi-organ segmentation from an abdominal CT
volumeKohei Yamashita*, Akinobu Shimizu*, Hidefumi Watanabe*, Shigeru Nawano ***Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei Tokyo, 184-0012 Japan**Center for Radiological Sciences, International University of Health and Welfare, 1-4-3 Mita, Minato-ku Tokyo,108-8329 Japan

Abstract
In this paper, we propose an abdominal multi-organ segmentation algorithm that extracts a liver, gallbladder, heart, rightkidney, and inferior vena cava from a non-contrast CT volume. The algorithm constructs a patient specific probabilisticatlas of multiple organs using multi-atlas method and sparse modeling followed by multi-organ graph cuts. We conducted
an experiment using 27 non-contrast CT volumes and compared the results with those of a conventional algorithm.
Keywords: CT, segmentation, abdominal organs, multi-atlas, sparse modeling, patient specific probabilistic atlas, graphcutsThis article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
17

日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-15 (2014-03)

Automatic recognition of the lung from Ai-CT images using neighborhoodorgan constraints
Satoshi OKATA*, Akinobu SHIMIZU*, Hidefumi WATANABE*, Seiji YAMAMOTO**, and Shigeru NAWANO****Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei Tokyo, 184-0012 Japan**Center for Radiological Sciences, International University of Health and Welfare, 1-4-3 Mita, Minato-ku Tokyo,108-8329 Japan**Ai information Center, 4-6-10 Ginza, Chuo-ku Tokyo, 104-0061 Japan
E-mail: †50010257013@st.tuat.ac.jp, simiz@cc.tuat.ac.jp

Abstract
We propose a lung segmentation algorithm from a CT volume of a postmortem body (Ai-CT) using graph cuts and a statistical shape model (SSM). An improved SSM and neighbor constraints were introduced into the graph cuts based segmentation framework. Experiments using actual Ai-CT volume demonstrated the superiority of the proposed algorithm
against a conventional algorithm.
Keywords: Autopsy imaging, CT, lung segmentation, graph cuts, statistical shape modelThis article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
18

日本生体医工学会 専門別研究会 生体医用画像研究会
若手発表会 2014/3
Proceedings of BioMedical Imaging - JSMBE 2014/3

JSMBE-BMI2013-16 (2014-03)

Improvement of bone fracture detection algorithm from a CT
volume of a postmortem body
Yusuke Takata*, Akinobu Shimizu*, Hidefumi Watanabe*, Seiji Yamamoto*** Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei Tokyo, 184-0012 Japan** Ai information Center, 4-6-10 Ginza, Chuo-ku Tokyo, 104-0061 Japan

Abstract
In this paper, we propose an improvement of a bone fracture detection algorithm from a CT volume of a postmortem body.
The proposed algorithm employed a deep learning architecture as a classifier of bone fracture. We applied it to CT volumes with bone fractures scanned from nine postmortem bodies, and the results demonstrated the superiority of the proposed algorithm as compared with a conventional method.
Keywords: Autopsy imaging, bone fracture, CT volume, deep learningThis article has been printed without reviewing and editing as received from the authors, and the copyright of the article
belongs to the authors.
19