HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Full Text (PDF) Submit a response Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Kuhnigk, J.-M. Articles by Achenbach, T. Search for Related Content PubMed PubMed Citation Articles by Kuhnigk, J.-M. Articles by Achenbach, T. Related Collections Informatics Chest Radiology Computed Tomography

Informatics in Radiology (infoRAD)

New Tools for Computer Assistance in Thoracic CT. Part 1. Functional Analysis of Lungs, Lung Lobes, and Bronchopulmonary Segments¹

¹ From the MeVis Center for Medical Diagnostic Systems and Visualization, Universitaetsallee 29, 28359 Bremen, Germany ( J.M.K., V.D., S.Z., L.B., B.K., S.K., H.O.P.); the Center for Radiology, Hospital Bremen—East, Germany (S.Y., H.H.J.); the Department of Diagnostic Radiology, University Hospital Giessen, Germany (W.S.R.); and the Department of Radiology, University Mainz, Germany (T.A.). Presented as an infoRAD exhibit at the 2003 RSNA Scientific Assembly. Received April 7, 2004; revision requested June 30 and received August 20; accepted September 10. Supported by grant 01EZ0010 from the German Federal Ministry of Education and Research. All authors have no financial relationships to disclose. Address correspondence to J.M.K. (e-mail: kuhnigk{at}mevis.de).

Owing to the rapid development of scanner technology, thoracic computed tomography (CT) offers new possibilities but also faces enormous challenges with respect to the quality of computer-assisted diagnosis and therapy planning. In the framework of the Virtual Institute for Computer Assistance in Clinical Radiology cooperative research project, a prototypical software application was developed to assist the radiologist in functional analysis of thoracic CT data. By identifying the anatomic compartments of the lungs, the software application enables assessment of established functional CT parameters for each individual lung, pulmonary lobe, and pulmonary segment. Such region-based assessment allows a more localized diagnosis of lung diseases such as emphysema and more accurate estimation of regional lung function from CT data. With close cooperation between computer scientists and radiologists, the software application was tested and optimized to achieve a high degree of usability. Several clinical studies were carried out, the results of which indicated that the software application improves quantification in diagnosis, therapy planning, and therapy monitoring with respect to accuracy and time required.

© RSNA, 2005

Abbreviations: FEV₁ = forced expiratory volume in 1 second, 3D = three-dimensional

This article has been cited by other articles:

				N. Sverzellati, E. Calabro, G. Randi, C. La Vecchia, A. Marchiano, J-M. Kuhnigk, M. Zompatori, P. Spagnolo, and U. Pastorino Sex differences in emphysema phenotype in smokers without airflow obstruction Eur. Respir. J., June 1, 2009; 33(6): 1320 - 1328. [Abstract] [Full Text] [PDF]

				L. Bornemann, J.-M. Kuhnigk, V. Dicken, S. Zidowitz, B. Kuemmerlen, S. Krass, H.-O. Peitgen, B. B. Wein, H. Schubert, H.-o. Shin, et al. Informatics in Radiology (infoRAD): New Tools for Computer Assistance in Thoracic CT Part 2. Therapy Monitoring of Pulmonary Metastases RadioGraphics, May 1, 2005; 25(3): 841 - 848. [Abstract] [Full Text] [PDF]