DocumentCode :
881656
Title :
Computer analysis of computed tomography scans of the lung: a survey
Author :
Sluimer, Ingrid ; Schilham, Arnold ; Prokop, Mathias ; Van Ginneken, Bram
Author_Institution :
Image Sci. Inst., Univ. Med. Center Utrecht, Netherlands
Volume :
25
Issue :
4
fYear :
2006
fDate :
4/1/2006 12:00:00 AM
Firstpage :
385
Lastpage :
405
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.
Keywords :
computerised tomography; diagnostic radiography; image classification; image registration; image resolution; image segmentation; lung; medical image processing; chest abnormality detection; computed tomography scans; computer analysis; image; image classification; image registration; lung; medical imaging; near isotropic submillimeter resolution; pulmonary structure segmentation; review; thoracic radiology; Artificial neural networks; Attenuation; Biomedical imaging; Cancer; Computed tomography; Diseases; Image segmentation; Lungs; Medical diagnostic imaging; Radiology; Airway disease; CT; chest; computer-aided diagnosis; emphysema quantification; interstitial lung disease; literature review; literature survey; lung cancer; nodule characterization; nodule detection; nodule size measurements; pulmonary embolism; registration; segmentation; Algorithms; Animals; Artificial Intelligence; Humans; Image Enhancement; Imaging, Three-Dimensional; Information Storage and Retrieval; Lung; Lung Diseases; Pattern Recognition, Automated; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2005.862753
Filename :
1610745
Link To Document :
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