Intelligent CAD based on understanding of local pathological structures

基于了解局部病理结构的智能CAD

• 批准号: 15070208
• 负责人: KIDO Shoji
• 金额: $ 42.56万
• 依托单位: Yamaguchi University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research on Priority Areas
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15070208/
• 关键词: MDCT; local pathological status; intellectual CAD; diffuse lung disease; feature analysis; segmentation; platform; plug-in; 濃淡情報; フーリエ特徴量; 自己組織化マップ; 肺血管; レジストレーション; コンピュータ支援診断; フーリエ変換; 特発性班質性肺疾患

The outline of our research results is summarized to the following four items:1. Pattern classification of diffuse lung diseases using MDCT volume dataDiffuse lung disease is one of targets for our study. We have developed an algorithm of diffuse lung analysis for whole lungs obtained from MDCT volume data. In our algorithm, whole lungs are diagnosed as one of seven diffuse lung disease patterns.2. Function Analysis of Pulmonary RespirationCOPD is one of targets for function analysis of pulmonary respiration. For the diagnosis of COPD, we have developed a radial measurement of bronchus. And also, for the evaluation of emphysema, we have developed an algorithm of lobar segmentation. Moreover, we have developed a measurement algorithm of displacements for ribs and diaphragms by use of inspiratory and expiratioy MDDCT images.3. Development of a CAD platformWe have developed a CAD platform named "MARIMO" for supporting image diagnoses of radiologists for multi-organ and multi-diseases.4. Analysis of Auscultation SoundsFor evaluation of diffuse lung diseases, such as pneumonia and COPD, we have developed an algorithm of auscultation sounds. We have achieved more than 90% recognition rate for differentiation of auscultation sounds. And also, we compared the auscultation sound with MDCT images.

1.利用多层螺旋CT容积数据对弥漫性肺疾病进行分型研究弥漫性肺疾病是我们研究的对象之一。我们开发了一种基于多层螺旋CT体积数据的全肺弥散分析算法。在我们的算法中，全肺被诊断为七种弥漫性肺部疾病模式之一。肺呼吸功能分析慢性阻塞性肺疾病是肺呼吸功能分析的指标之一。为了诊断慢性阻塞性肺疾病，我们开发了一种支气管径向测量。此外，对于肺气肿的评估，我们还开发了一种肺叶分割算法。此外，我们还开发了一种利用吸气和呼气MDDCT图像测量肋骨和横隔膜位移的算法。CAD平台的开发我们开发了一个名为Marimo的CAD平台，用于支持放射科医生对多器官、多疾病的图像诊断。听诊声音分析为了评估肺部弥漫性疾病，如肺炎和COPD，我们开发了一种听诊声音的算法。对听诊声音的辨别达到90%以上的识别率。并将听诊声与MDCT图像进行了比较。

项目成果

COPD診断のための三次元胸部CT画像からの気管支領域の抽出

从 3D 胸部 CT 图像中提取支气管区域用于 COPD 诊断

• 发表时间: 2006
• 期刊: 電子情報通信学会技術研究報告 105
• 作者: Kido;S;Y. Goto;R. Tachibana;松本 康夫;梅地 拓雄;宮崎博泰;Suga K;四方 秀則;黒田 和代;Tachibana R;為近 真也
• 通讯作者: 為近 真也

Computer-aided diagnosis for diffuse lung descases on CT images

CT图像上弥漫性肺部干燥的计算机辅助诊断

• 发表时间: 2005
• 期刊: Japanese Journal of Medical Physics 25
• 作者: Kido;S;Kido S;Shikata H;Shikata H;角森昭教;四方秀則;木戸尚治;木戸尚治;小田敍弘;T.Orihashi;為近真也;四方秀則;Suga K;Shikata H;Kido S
• 通讯作者: Kido S

Kido S, Kuriyama K, Kuroda C, Higashiyama M, Kasugai T: "Fractal analysis of internal and peripheral textures of small peripheral bronchogenic carcinomas in thin-section computed tomography : com-parison of bronchioloalveolar cell carcinomas with nonbronc

Kido S、Kuriyama K、Kuroda C、Higashiyama M、Kasugai T：“薄层计算机断层扫描中小外周支气管癌内部和外周纹理的分形分析：细支气管肺泡细胞癌与非支气管癌的比较

Quantitative Evaluation and Follow-up from the Areas of Small

小范围的定量评估和跟踪

• 发表时间: 2003
• 作者: 荻田;宇田川 他6名;Tachibana. R
• 通讯作者: Tachibana. R

びまん性肺疾患画像からの肺血管抽出アルゴリズムの検討

弥漫性肺病图像中肺血管提取算法的检验

• 发表时间: 2005
• 期刊: 信学技報 MI2004-86
• 作者: K.Sato et al.;四方秀則
• 通讯作者: 四方秀則