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Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images

Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images

Computerized Medical Imaging and Graphics 30(5): 299-313

This paper describes a fully automated segmentation and recognition scheme, which is designed to recognize lung anatomical structures in the human chest by segmenting the different chest internal organ and tissue regions sequentially from high-resolution chest CT images. A sequential region-splitting process is used to segment lungs, airway of bronchus, lung lobes and fissures based on the anatomical structures and statistical intensity distributions in CT images. The performance of our scheme is evaluated by segmenting lung structures from high-resolution multi-slice chest CT images from 44 patients; the validity of our method was proved by preliminary experimental results.

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Accession: 011793498

Download citation: RISBibTeXText

PMID: 16920331

DOI: 10.1016/j.compmedimag.2006.06.002

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