Lung imaging and computer-aided diagnosis
著者
書誌事項
Lung imaging and computer-aided diagnosis
CRC Press, c2012
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient's chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology-namely, needle biopsy and bronchoscopy-fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable.
Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules.
Dealing with all aspects of image analysis of the data, this book examines:
Lung segmentation
Nodule segmentation
Vessels segmentation
Airways segmentation
Lung registration
Detection of lung nodules
Diagnosis of detected lung nodules
Shape and appearance analysis of lung nodules
Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.
目次
A Novel Three-Dimensional Framework for Automatic Lung Segmentation from Low- Dose Computed Tomography Images. Incremental Engineering of Lung Segmentation Systems. 3D MGRF-Based Appearance Modeling for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images. Ground-Glass Nodule Characterization in High-Resolution Computed Tomography Scans. Four-Dimensional Computed Tomography Lung Registration Methods. Pulmonary Kinematics via Registration of Serial Lung Images. Acquisition and Automated Analysis of Normal and Pathological Lungs in Small Animals Using Computed Microtomography. Airway Segmentation and Analysis from Computed Tomography. Pulmonary Vessel Segmentation for Multislice CT Data: Methods and Applications. A Novel Level Set-Based Computer-Aided Detection System for Automatic Detection of Lung Nodules in Low-Dose Chest Computed Tomography Scans. Model-Based Methods for Detection of Pulmonary Nodules. Concept and Practice of Genetic Algorithm Template Matching and Higher Order Local Autocorrelation Schemes in Automated Detection of Lung Nodules. Computer-Aided Detection of Lung Nodules in Chest Radiographs and Thoracic CT. Lung Nodule and Tumor Detection and Segmentation. Texture Classification in Pulmonary CT. Computer-Aided Assessment and Stenting of Tracheal Stenosis. Appearance Analysis for the Early Assessment of Detected Lung Nodules. Validation of a New Image-Based Approach for the Accurate Estimating of the Growth Rate of Detected Lung Nodules Using Real Computed Tomography Images and Elastic Phantoms Generated by State-of-the-Art Microfluidics Technology.Three-Dimensional Shape Analysis Using Spherical Harmonics for Early Assessment of Detected Lung Nodules. Index.
「Nielsen BookData」 より