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16 March 2020 Lung vessel suppression and its effect on nodule detection in chest CT scans
Xiaomeng Gu, Weiyang Xie, Qiming Fang, Jun Zhao, Qiang Li
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Proceedings Volume 11314, Medical Imaging 2020: Computer-Aided Diagnosis; 113141E (2020) https://doi.org/10.1117/12.2549405
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States
Abstract
The suppression of lung vessels in chest computed tomography (CT) scans can enhance the conspicuity of lung nodules, thereby may improve the detection rate of early lung cancer. This study aimed to verify the effect of lung vessel suppression on the performance of the lung nodule detector. Firstly, a lung vessel suppression technique was developed to remove the vessels while preserving the nodules. Then, a lung nodule detector was developed with two stages: nodule candidate generation and false positive reduction. The vessel suppression and nodule detection methods were validated respectively in 50 three-dimensional (3D) chest CT images with manually-labeled vessel trees and 888 3D chest CT images with manually-located nodules (LUNA16). The lung vessel suppression results were quantitatively evaluated by using the Dice coefficient (DICE) and the contrast-to-noise ratio (CNR), and the lung nodule detection results were quantitatively evaluated by using the sensitivity under two conditions: “without” and “with vessel suppression”. The lung vessel suppression accurately removed vessels with a DICE of 0.943 and improved the CNR for nodules from 4.24 (6.27 dB) to 7.02 (8.46 dB), which subsequently improved the average sensitivity from 0.948 to 0.969 under 7 specified false positives for lung nodule detection.
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Xiaomeng Gu, Weiyang Xie, Qiming Fang, Jun Zhao, and Qiang Li "Lung vessel suppression and its effect on nodule detection in chest CT scans", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113141E (16 March 2020); https://doi.org/10.1117/12.2549405
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KEYWORDS
Lung
Image segmentation
Computed tomography
Chest
CAD systems
3D image processing
Lung cancer
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