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Automated Measurement of Single and Total Lung Volume from CT

Overview
Specialty Radiology
Date 1999 Aug 5
PMID 10433299
Citations 17
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Abstract

Purpose: The goal of this work was to develop an automated method for calculating single (SLV) and total (TLV) lung volumes from CT images.

Method: Patients underwent volumetric CT scanning through the entire chest in a single breath-hold, as well as pulmonary function tests. An automated, knowledge-based system was developed to segment the lungs in the CT images. Image-processing routines were used to extract sets of voxels from the image data that were identified by matching them to anatomical objects defined in a model. SLV and TLV were calculated by summing included voxels.

Results: For 43 patients analyzed, TLV from CT and total lung capacity from body plethysmography were strongly correlated (r = 0.90). On average, the CT-derived volume of the left lung accounted for 47.2% of the total.

Conclusion: A knowledge-based approach to segmentation of the lungs in CT can be used to automatically estimate SLV and TLV.

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