Automated anatomical labeling algorithm of bronchial branches based on multi-slice CT images

Kawai, Junya; Saita, Shinsuke; Kubo, Michinori; Kawata, Yoshiki; Niki, Noboru; Nakano, Yasutaka; Nishitani, Hiromu; Ohmatsu, Hironobu; Eguchi, Katsumi; Kaneko, Masahiro; Kusumoto, Masahiko; Kakinuma, Ryota; Noriyuki, Moriyama

doi:10.1117/12.654210

Cited by 2 publications

(2 citation statements)

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“…The knowledge based approach contained information of the tag name of a branch, the anatomical name, the parent branch name, the position, and the direction. Similarly, Kawai et al 53 described an automated anatomical labeling algorithm of the bronchial branches. However, information regarding the procedure was not described in detail in Ref.…”

Section: Iiib Tree Matchingmentioning

confidence: 98%

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CT based computerized identification and analysis of human airways: A review

Liu

et al. 2012

Medical Physics

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As one of the most prevalent chronic disorders, airway disease is a major cause of morbidity and mortality worldwide. In order to understand its underlying mechanisms and to enable assessment of therapeutic efficacy of a variety of possible interventions, noninvasive investigation of the airways in a large number of subjects is of great research interest. Due to its high resolution in temporal and spatial domains, computed tomography (CT) has been widely used in clinical practices for studying the normal and abnormal manifestations of lung diseases, albeit there is a need to clearly demonstrate the benefits in light of the cost and radiation dose associated with CT examinations performed for the purpose of airway analysis. Whereas a single CT examination consists of a large number of images, manually identifying airway morphological characteristics and computing features to enable thorough investigations of airway and other lung diseases is very time-consuming and susceptible to errors. Hence, automated and semiautomated computerized analysis of human airways is becoming an important research area in medical imaging. A number of computerized techniques have been developed to date for the analysis of lung airways. In this review, we present a summary of the primary methods developed for computerized analysis of human airways, including airway segmentation, airway labeling, and airway morphometry, as well as a number of computer-aided clinical applications, such as virtual bronchoscopy. Both successes and underlying limitations of these approaches are discussed, while highlighting areas that may require additional work.

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Section: Iiib Tree Matchingmentioning

confidence: 98%

“…However, information regarding the procedure was not described in detail in Ref. 53. These proposed algorithms were applied specifically to incomplete trees with about 30 branches, and the built-in knowledge base did not include anatomical variations.…”

Section: Iiib Tree Matchingmentioning

confidence: 99%