ライブラリ登録: Guest
Begell Digital Portal Begellデジタルライブラリー 電子書籍 ジャーナル 参考文献と会報 リサーチ集
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN 印刷: 0278-940X
ISSN オンライン: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2017021299
pages 411-425

Computed Tomography Image Matching in Chronic Obstructive Pulmonary Disease

Sandeep Bodduluri
Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama, Birmingham, AL 35294; University of Alabama at Birmingham Lung Imaging Core, University of Alabama, Birmingham, AL 35294; University of Alabama at Birmingham Lung Health Center, University of Alabama at Birmingham, AL 35294
Surya P. Bhatt
Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama, Birmingham, AL 35294; University of Alabama at Birmingham Lung Imaging Core, University of Alabama, Birmingham, AL 35294; University of Alabama at Birmingham Lung Health Center, University of Alabama at Birmingham, AL 35294
Joseph M. Reinhardt
Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242

要約

Chronic obstructive pulmonary disease (COPD), characterized by progressive airflow obstruction due to the combined effects of emphysema and small airways disease, is associated with high morbidity and mortality. The complex link between emphysema and airways disease is associated with significant heterogeneity in clinical presentation. Spirometry is the current gold standard for diagnosis and stratification of the severity of airflow obstruction in COPD. Although spirometry is simple to use, it does not enable the separation of emphysema from airways disease. Computed tomography (CT), on the other hand, provides the anatomic localization of disease and has been increasingly used to phenotype COPD. The majority of current CT measures are extracted from a single-volume CT scan and although useful to characterize emphysema and airways disease, they do not link structural and functional abnormalities. Alternatively, CT image matching combines information from both inspiratory and expiratory CT scans, thus enabling determination of functional changes such as regional ventilation and mechanical properties of the lung. In this review, we discuss recent applications of CT image matching that provide clinically meaningful information beyond spirometry and single-volume CT scan measures.


Articles with similar content:

Alcohol-Induced Osteonecrosis
Critical Reviews™ in Physical and Rehabilitation Medicine, Vol.16, 2004, issue 4
Christopher Chang, M. Eric Gershwin
Pulmonary Rehabilitation: A Physiological and Psychological Perspective
Critical Reviews™ in Physical and Rehabilitation Medicine, Vol.13, 2001, issue 4
Rachel Garrod, Janine Bestall
Skeletal Muscle Adaptations to Cancer and its Treatment: Their Fundamental Basis and Contribution to Functional Disability
Critical Reviews™ in Eukaryotic Gene Expression, Vol.23, 2013, issue 4
Kim Dittus, Hirak Der-Torossian, Marion E. Couch, Michael J. Toth
A Morphological Algorithm for Measuring Angle of Airway Branches in Lung CT Images
Critical Reviews™ in Biomedical Engineering, Vol.42, 2014, issue 5
Mohammadreza Heydarian, Markad V. Kamath, W. F. S. Poehlman, Michael D. Noseworthy, Colm Boylan
Pathogenesis of Multiple Organ Failure in Sepsis
Critical Reviews™ in Immunology, Vol.35, 2015, issue 4
Alexander Zarbock, Jan Rossaint