Literature DB >> 12797607

Lung nodule detection and characterization with multislice CT.

Jane P Ko1, David P Naidich.   

Abstract

The ability to identify and characterize pulmonary nodules has been dramatically increased by the introduction of multislice CT (MSCT) technology. Using high-resolution sections, MSCT allows considerable improvement in assessing nodule morphology, enhancement patterns, and growth. MSCT also has facilitated the development and potential of clinical application of computer-assisted diagnosis.

Mesh：

Year:  2003        PMID： 12797607     DOI： 10.1016/s0033-8389(03)00031-9

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN： 0033-8389            Impact factor:   2.303


  5 in total

1.  Multi slice computed tomography in the study of pulmonary metastases.

Authors:  G Angelelli; V Grimaldi; F Spinelli; A Scardapane; A Sardaro
Journal:  Radiol Med       Date:  2008-09-08       Impact factor: 3.469

2.  Adaptive border marching algorithm: automatic lung segmentation on chest CT images.

Authors:  Jiantao Pu; Justus Roos; Chin A Yi; Sandy Napel; Geoffrey D Rubin; David S Paik
Journal:  Comput Med Imaging Graph       Date:  2008-06-02       Impact factor: 4.790

3.  Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Authors:  Berkman Sahiner; Heang-Ping Chan; Lubomir M Hadjiiski; Philip N Cascade; Ella A Kazerooni; Aamer R Chughtai; Chad Poopat; Thomas Song; Luba Frank; Jadranka Stojanovska; Anil Attili
Journal:  Acad Radiol       Date:  2009-12       Impact factor: 3.173

4.  An automated CT based lung nodule detection scheme using geometric analysis of signed distance field.

Authors:  Jiantao Pu; Bin Zheng; Joseph Ken Leader; Xiao-Hui Wang; David Gur
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

Review 5.  [Growth Evaluation of Pulmonary Nodules on Chest CT].

Authors:  Datong Su; Ying Wang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2017-08-20
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.