Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images

International Journal of Computer Assisted Radiology and Surgery
Ashis Kumar DharaNiranjan Khandelwal

Abstract

Boundary roughness of a pulmonary nodule is an important indication of its malignancy. The irregularity of the shape of a nodule is represented in terms of a few diagnostic characteristics such as spiculation, lobulation, and sphericity. Quantitative characterization of these diagnostic characteristics is essential for designing a content-based image retrieval system and computer-aided system for diagnosis of lung cancer. This paper presents differential geometry-based techniques for computation of spiculation, lobulation, and sphericity using the binary mask of the segmented nodule. These shape features are computed in 3D considering complete nodule. The performance of the proposed and competing methods is evaluated in terms of the precision, mean similarity, and normalized discounted cumulative gain on 891 nodules of Lung Image Database Consortium and Image Database Resource Initiative. The proposed methods are comparable to or better than gold standard technique. The reproducibility of proposed feature extraction techniques is evaluated using RIDER coffee break data set. The mean and standard deviation of the percent change of spiculation, lobulation, and sphericity are [Formula: see text], [Formula: see text], and [Formula:...Continue Reading

References

Jun 20, 2003·The New England Journal of Medicine·David OstSteven H Feinsilver
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Jul 27, 2004·Journal of Thoracic Imaging·Jane P Ko, David P Naidich
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Aug 15, 2014·Journal of Digital Imaging·Fangfang HanZhengrong Liang
Aug 5, 2015·Journal of Digital Imaging·Ashis Kumar DharaNiranjan Khandelwal

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Citations

Jan 8, 2016·Journal of Digital Imaging·Ashis Kumar DharaNiranjan Khandelwal
Feb 9, 2018·Biomedical Engineering Online·Jing YangJiansong Ji
Mar 22, 2019·Journal of Thoracic Imaging·Matthew J StephensDavid Lynch
Nov 14, 2019·International Journal of Computer Assisted Radiology and Surgery·José Raniery Ferreira-JuniorPaulo Mazzoncini de Azevedo-Marques
Jan 12, 2021·BioMed Research International·Shi QiuTing Liang
Nov 23, 2020·Computer Methods and Programs in Biomedicine·Wookjin ChoiWei Lu

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