Development of methods for structure analysis based on generative learning and its application to understanding of medical images

基于生成学习的结构分析方法的发展及其在医学图像理解中的应用

• 批准号: 23700220
• 负责人: KITASAKA Takayuki
• 金额: $ 2.75万
• 依托单位: Aichi Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011 至 2013
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23700220/
• 关键词: パターン認識; 医用画像処理; 生成型学習; 医用画像理解

In this research project, we developed methods for recognizing organs and diseases in medical images based on the generative learning approach, which is robust to the data with large variance such as human organs. In the recognition of the airway and blood vessel trees, we investigated effective image features for the generative learning and extracted them from medical images accurately. In the recognition of organs, we constructed an ATLAS, which represents variations of organs mathematically, and extracted them accurately. In the lymph nodes detection, we developed a novel filter which responses to the lymph nodes specifically, and detected lymph nodes with high accuracy. We confirmed that the generative learning approach was effective for recognition of human organs and diseases.

在本研究项目中，我们开发了基于生成学习方法的医学图像中器官和疾病识别方法，该方法对人体器官等方差较大的数据具有鲁棒性。在气道和血管树的识别中，我们研究了生成学习的有效图像特征，并从医学图像中准确地提取它们。在器官的识别中，我们构造了一个ATLAS，它以数学方式表示器官的变化，并准确地提取它们。在淋巴结检测中，我们开发了一种新的滤波器，该滤波器对淋巴结有特异性的响应，并且检测出的淋巴结具有很高的准确性。我们证实了生成学习方法对于识别人体器官和疾病是有效的。

项目成果

Robust bronchoscope motion tracking using sequential Monte Carlo methods in navigated bronchoscopy : dynamic phantom and patient validation

在导航支气管镜检查中使用顺序蒙特卡罗方法进行稳健的支气管镜运动跟踪：动态模型和患者验证

• 发表时间: 2011
• 期刊: Int. J. of Computer Assisted Radiology and Surgery
• 作者: Xiongbiao Luo;Marco Feuerstein;Takayuki Kitasaka and Kensaku Mori
• 通讯作者: Takayuki Kitasaka and Kensaku Mori

Assessment of COPD severity by combining pulmonary function tests and chest CT images

结合肺功能测试和胸部CT图像评估COPD严重程度

• 发表时间: 2013
• 期刊: International Journal of Computer Assisted Radiology and Surgery
• 影响因子: 3
• 作者: Y. Nimura;T. Kitasaka;H. Honma;H. Takabatake;M. Mori;H. Natori;K. Mori
• 通讯作者: K. Mori

ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy

ManiSMC：一种使用流形建模和顺序蒙特卡罗采样器来增强导航支气管镜检查的新方法

• 发表时间: 2011
• 作者: M. Morise;H. Kawahara;and K. Ozawa;Xiongbiao Luo
• 通讯作者: Xiongbiao Luo

Radial Structure Tensorおよび機械学習に基づく縦隔リンパ節検出手法

基于径向结构张量和机器学习的纵隔淋巴结检测方法

• 发表时间: 2013
• 作者: 小田 紘久;羅 雄彪;二村 幸孝;小田 昌宏;北坂 孝幸;岩野 信吾;本間 裕敏;高畠 博嗣;森 雅樹;名取 博;森 健策
• 通讯作者: 森 健策

Endoscope 3-D Motion Tracking Using An Aggressive Particle Filtering for Boosting Electromagnetic Guidance Endoscopy

使用强力粒子过滤的内窥镜 3D 运动跟踪增强电磁引导内窥镜检查

• 作者: Xiongbiao Luo;Takayuki Kitasaka;and Kensaku Mori
• 通讯作者: and Kensaku Mori