Literature DB >> 16608056

Computer analysis of computed tomography scans of the lung: a survey.

Ingrid Sluimer1, Arnold Schilham, Mathias Prokop, Bram van Ginneken.   

Abstract

Current computed tomography (CT) technology allows for near isotropic, submillimeter resolution acquisition of the complete chest in a single breath hold. These thin-slice chest scans have become indispensable in thoracic radiology, but have also substantially increased the data load for radiologists. Automating the analysis of such data is, therefore, a necessity and this has created a rapidly developing research area in medical imaging. This paper presents a review of the literature on computer analysis of the lungs in CT scans and addresses segmentation of various pulmonary structures, registration of chest scans, and applications aimed at detection, classification and quantification of chest abnormalities. In addition, research trends and challenges are identified and directions for future research are discussed.

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Year:  2006        PMID: 16608056     DOI: 10.1109/TMI.2005.862753

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  76 in total

1.  Object-based analysis of CT images for automatic detection and segmentation of hypodense liver lesions.

Authors:  Michael Schwier; Jan Hendrik Moltz; Heinz-Otto Peitgen
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-04-24       Impact factor: 2.924

2.  Evaluation of the accuracy of CT numbers in statistical correction of nonlinearity for polychromatic X-ray CT projection data.

Authors:  Shin-ichiro Iwamoto; Akira Shiozaki
Journal:  Radiol Phys Technol       Date:  2008-07-03

3.  Extrapolation from ten sections can make CT-based quantification of lung aeration more practicable.

Authors:  A W Reske; A P Reske; H A Gast; M Seiwerts; A Beda; U Gottschaldt; C Josten; D Schreiter; N Heller; H Wrigge; M B Amato
Journal:  Intensive Care Med       Date:  2010-08-06       Impact factor: 17.440

4.  Mapping LIDC, RadLex™, and lung nodule image features.

Authors:  Pia Opulencia; David S Channin; Daniela S Raicu; Jacob D Furst
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

5.  Shape "break-and-repair" strategy and its application to automated medical image segmentation.

Authors:  Jiantao Pu; David S Paik; Xin Meng; Justus E Roos; Geoffrey D Rubin
Journal:  IEEE Trans Vis Comput Graph       Date:  2011-01       Impact factor: 4.579

6.  Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching.

Authors:  Jiazheng Shi; Berkman Sahiner; Heang-Ping Chan; Lubomir Hadjiiski; Chuan Zhou; Philip N Cascade; Naama Bogot; Ella A Kazerooni; Yi-Ta Wu; Jun Wei
Journal:  Med Phys       Date:  2007-04       Impact factor: 4.071

Review 7.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  Computer-aided detection and quantification of cavitary tuberculosis from CT scans.

Authors:  Ziyue Xu; Ulas Bagci; Andre Kubler; Brian Luna; Sanjay Jain; William R Bishai; Daniel J Mollura
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

9.  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

10.  Selection of examples in case-based computer-aided decision systems.

Authors:  Maciej A Mazurowski; Jacek M Zurada; Georgia D Tourassi
Journal:  Phys Med Biol       Date:  2008-10-14       Impact factor: 3.609

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