Literature DB >> 15798068

Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT. Part 1. Functional analysis of lungs, lung lobes, and bronchopulmonary segments.

Jan-Martin Kuhnigk1, Volker Dicken, Stephan Zidowitz, Lars Bornemann, Bernd Kuemmerlen, Stefan Krass, Heinz-Otto Peitgen, Silja Yuval, Hans-Holger Jend, Wigbert S Rau, Tobias Achenbach.   

Abstract

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. (c) RSNA, 2005.

Entities:  

Mesh:

Year:  2005        PMID: 15798068     DOI: 10.1148/rg.252045070

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  38 in total

1.  Automatic lung lobe segmentation using particles, thin plate splines, and maximum a posteriori estimation.

Authors:  James C Ross; Rail San José Estépar; Gordon Kindlmann; Alejandro Díaz; Carl-Fredrik Westin; Edwin K Silverman; George R Washko
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

Review 2.  Noncalcified lung nodules: volumetric assessment with thoracic CT.

Authors:  Marios A Gavrielides; Lisa M Kinnard; Kyle J Myers; Nicholas Petrick
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

3.  Quantitative computed tomography detects interstitial lung diseases proven by biopsy.

Authors:  Alarico Ariani; Andrea Imperatori; Massimo Castiglioni; Elisa Daffrè; Marina Aiello; Giuseppina Bertorelli; Alfredo Chetta; Lorenzo Dominioni; Nicola Rotolo
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2018-04-28       Impact factor: 0.670

4.  A generic approach to pathological lung segmentation.

Authors:  Awais Mansoor; Ulas Bagci; Ziyue Xu; Brent Foster; Kenneth N Olivier; Jason M Elinoff; Anthony F Suffredini; Jayaram K Udupa; Daniel J Mollura
Journal:  IEEE Trans Med Imaging       Date:  2014-07-08       Impact factor: 10.048

5.  Bronchial diverticula in smokers on thin-section CT.

Authors:  Nicola Sverzellati; Anna Ingegnoli; Elisa Calabrò; Giorgia Randi; Carlo La Vecchia; Alfonso Marchianò; Jan-Martin Kuhnigk; David M Hansell; Maurizio Zompatori; Ugo Pastorino
Journal:  Eur Radiol       Date:  2009-07-14       Impact factor: 5.315

6.  Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.

Authors:  Eui Jin Hwang; Jin Mo Goo; Jihye Kim; Sang Joon Park; Soyeon Ahn; Chang Min Park; Yeong-Gil Shin
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

7.  Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.

Authors:  Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken
Journal:  IEEE Trans Med Imaging       Date:  2020-08       Impact factor: 10.048

8.  Pulmonary lobe segmentation based on ridge surface sampling and shape model fitting.

Authors:  James C Ross; Gordon L Kindlmann; Yuka Okajima; Hiroto Hatabu; Alejandro A Díaz; Edwin K Silverman; George R Washko; Jennifer Dy; Raúl San José Estépar
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

9.  An approach for reducing the error rate in automated lung segmentation.

Authors:  Gurman Gill; Reinhard R Beichel
Journal:  Comput Biol Med       Date:  2016-06-29       Impact factor: 4.589

Review 10.  New insights on COPD imaging via CT and MRI.

Authors:  N Sverzellati; F Molinari; T Pirronti; L Bonomo; P Spagnolo; M Zompatori
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2007
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