Literature DB >> 357340

Towards computer analysis of pulmonary infiltration.

R J Tully, R W Conners, C A Harlow, G S Lodwick.   

Abstract

A feasibility study is described to provide quantitative texture measures to distinguish between normal lung, alveolar infiltrates and interstitial infiltrates. Advanced computer imaging technology and decision making processes were applied to distinguish between these textural patterns. The results, based on computer extracted quantitative measures, show an excellent separation of the three classes considered with 95% accuracy in the training phase and 90% accuracy in the testing phase.

Mesh:

Year:  1978        PMID: 357340     DOI: 10.1097/00004424-197807000-00005

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  5 in total

Review 1.  State of the Art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease.

Authors:  Eric A Hoffman; Brett A Simon; Geoffrey McLennan
Journal:  Proc Am Thorac Soc       Date:  2006-08

Review 2.  Functional imaging: CT and MRI.

Authors:  Edwin J R van Beek; Eric A Hoffman
Journal:  Clin Chest Med       Date:  2008-03       Impact factor: 2.878

3.  A computerized analysis system in chest radiography: evaluation of interstitial lung abnormalities.

Authors:  S Kido; J Ikezoe; S Tamura; H Nakamura; C Kuroda
Journal:  J Digit Imaging       Date:  1997-05       Impact factor: 4.056

4.  Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks.

Authors:  S Katsuragawa; K Doi; H MacMahon; L Monnier-Cholley; T Ishida; T Kobayashi
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

5.  High resolution multidetector CT-aided tissue analysis and quantification of lung fibrosis.

Authors:  Vanessa A Zavaletta; Brian J Bartholmai; Richard A Robb
Journal:  Acad Radiol       Date:  2007-07       Impact factor: 3.173

  5 in total

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