Visualization and Analysis of Motion of Thoracoabdominal Organs

(胸腹部の呼吸性運動の可視化と解析)

Lung tumor tracking based on thoracic 4D-MR image for radiotherapy

Shuhei Isa(graduate)

The radiotherapy is employed for cancer treatment. It is able to destroy tumor mass by exposing to radiation. However if the normal tissue is exposed to radiation, it is also destroyed. Therefore, in radiotherapy of the thoracic region, it is important to grasp the tumor motion due to respiration in order to avoid unnecessary exposure to healthy tissues. Generally, the tumor is tracked using X-ray fluoroscopy. However, the tumor is sometimes hidden behind other organs and direct tracking is very difficult. In such case, diaphragm location can be used as a surrogate to estimate the tumor location. In this study, we are developing an estimation scheme of tumor location with preoperative 4D (spatiotemporal)-MR image. In this scheme, we first model the relationship between the tumor location and feature points location on the diaphragm based on thoracic 4D-MR image. During the treatment, tumor location is estimated from the diaphragm in the X-ray fluoroscopy.
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共同研究者:

研究費:科学研究費助成事業(学術研究助成基金助成金) 若手研究(B)(課題番号:26750164)

受賞:

外部発表リスト:
学会発表
    1. 伊佐周平,大西峻,桝田喜正,羽石秀昭:胸部4D-MR画像に基づく肺腫瘍トラッキング,電子情報通信学会技術報告,Vol.113,No.410,pp.199-204,メディカルイメージング連合フォーラム2014,那覇市ぶんかテンブス館 (2014.1.26-27)
    2. 伊佐周平,大西峻,桝田喜正,羽石秀昭:追尾放射線治療における肺腫瘍位置推定法,P1-11,情報フォトニクス研究会,電気通信大学(2014.3.4)
    3. S. Isa, T. Ohnishi, Y. Masuda, H. Haneishi:Lung tumor tracking based on thoracic 4D-MR image for radiation therapy, S-57, CARS(Computer Assisted Radiology and Surgery)2014 28th International Congress and Exhibition, Vol.9, Supplement No.1, Fukuoka Convention Center, Fukuoka, Japan, June 25-28, 2014


Reconstruction method by using sparse

Yukinojo Kitakami(graduate)

4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows us various applications. However, one of the problems is long data collection time, approximately 30 minutes. In this study, we assume to reduce the number of the encoding in the k- space to shorten the data collection time. However, images are degraded by this reduction. Therefore we used the reconstruction technique that used sparse modeling such as compressed sensing.
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共同研究者:

研究費:新学術領域研究(公募型),代表,スパース性を利用した体幹部呼吸性体動の高速4次元MRイメージング,2014-2015年度

受賞:

外部発表リスト:
学会発表
    1. 北上侑乃丞,大西峻,桝田喜正,松本浩史,羽石秀昭:スパース性と低ランク構造を利用した4D-MRI高速撮影の初期検討,電子情報通信学会技術報告, Vol.113,No.410,pp.193-198,メディカルイメージング連合フォーラム2014,那覇市ぶんかテンブス館 (2014.1.26-27)
    2. 北上侑乃丞,大西峻,桝田喜正,松本浩史,羽石秀昭:4D-MRI高速収集のためのスパースモデルを利用したMR動画像再構成,P1-13,情報フォトニクス研究会,電気通信大学(2014.3.4)


胸腹部の呼吸性運動の可視化と解析

Windra Swastika, Yoshitada Masuda, Tomoki Nishikawa(graduate)

The-4dimensional magnetic resonance imaging (4D-MRI) is an imaging technique that reconstructs a 3D MRI with time series from a set of time sequential images of 2D MR. We developed an automatic process to reconstruct 4D-MRI using an intersection profile method. The automatic process includes the extraction of diaphragm boundary and respiratory motion from time-series 2D-MRI. We also performed a prospective method to reconstruct 4D-MRI in order to shorten the acquisition time while maintaining the quality of 4D-MRI. Although the prospective method is only in simulations using previously fully acquired data sets, it successfully reduced acquisition time of data slices up to 75%.
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.wmv file for Windows media player

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胸腹部4DMRIの画像例 抽出された横隔膜の運動
共同研究者:本学呼吸器外科,呼吸器内科,附属病院放射線部

研究費

  1. JSTシーズ発掘型
  2. 千葉大学COEスタートアッププログラム

受賞

  1. Medical Imaging Technology誌論文賞 (2009) 
外部発表リスト
学会発表
    1. W. Swastika, Y. Masuda, T.Ohnishi, H. Haneishi:Time reduction of 4D-MRI reconstruction for thoracoabdominal organs using intersection profile method, S-18, CARS(Computer Assisted Radiology and Surgery)2014 28th International Congress and Exhibition, Vol.9, Supplement No.1, Fukuoka Convention Center, Fukuoka, Japan, June 25-28, 2014
原著論文
    1. 桝田喜正,藤淵俊王,羽石秀昭: 交差プロファイル法による胸部4D-MRI の構築,Medical Imaging Technology, Vol.27, No.2,pp. 112-122 (2009) 論文賞受賞
    2. 桝田喜正,西川朋輝,和田啓伸,吉田成利,吉野一郎,木川隆司,伊東久夫,羽石秀昭:交差プロファイル法による4次元MR画像を用いた横隔膜機能画像の生成,Med Imag Tech 28(3): 181-188 (2010)

English