Semi-automated measurement of pulmonary nodule growth without explicit segmentation

A. C. Jirapatnakul; A. P. Reeves; A. M. Biancardi; D. F. Yankelevitz; C. I. Henschke

doi:10.1109/ISBI.2009.5193187

Semi-automated measurement of pulmonary nodule growth without explicit segmentation

A. C. Jirapatnakul, A. P. Reeves, A. M. Biancardi, D. F. Yankelevitz, C. I. Henschke

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Many nodule measurement methods rely on accurate segmentation of the nodule and may fail with complex nodule morphologies; often slight variations in segmentation result in large volume differences. A method, growth analysis from density (GAD), is presented that measures nodule growth without explicit segmentation through the application of a Gaussian weighting function to a region around the nodule, avoiding the drawbacks of segmentation-based methods. The resulting mean density is used as a surrogate for volume when computing growth. A zero-change nodule dataset was used to establish the variability of the method, followed by testing on datasets of stable, malignant, and complex nodules. There was no significant difference in percent volume change between the methods (p=0.55), and while GAD showed similar measurement variability and discriminative performance as a segmentation-based method (GAS), it was able to successfully measure growth on complex nodules where GAS failed.

Original language	English
Title of host publication	Proceedings - 2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2009
Pages	855-858
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2009.5193187
State	Published - 2009
Externally published	Yes
Event	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States Duration: 28 Jun 2009 → 1 Jul 2009

Publication series

Name	Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Conference

Conference	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Country/Territory	United States
City	Boston, MA
Period	28/06/09 → 1/07/09

Keywords

Density change
Lung cancer
Pulmonary nodule growth
X-ray tomography

Access to Document

10.1109/ISBI.2009.5193187

Cite this

Jirapatnakul, A. C., Reeves, A. P., Biancardi, A. M., Yankelevitz, D. F., & Henschke, C. I. (2009). Semi-automated measurement of pulmonary nodule growth without explicit segmentation. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 (pp. 855-858). Article 5193187 (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009). https://doi.org/10.1109/ISBI.2009.5193187

Jirapatnakul, A. C. ; Reeves, A. P. ; Biancardi, A. M. et al. / Semi-automated measurement of pulmonary nodule growth without explicit segmentation. Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. pp. 855-858 (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

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title = "Semi-automated measurement of pulmonary nodule growth without explicit segmentation",

abstract = "Many nodule measurement methods rely on accurate segmentation of the nodule and may fail with complex nodule morphologies; often slight variations in segmentation result in large volume differences. A method, growth analysis from density (GAD), is presented that measures nodule growth without explicit segmentation through the application of a Gaussian weighting function to a region around the nodule, avoiding the drawbacks of segmentation-based methods. The resulting mean density is used as a surrogate for volume when computing growth. A zero-change nodule dataset was used to establish the variability of the method, followed by testing on datasets of stable, malignant, and complex nodules. There was no significant difference in percent volume change between the methods (p=0.55), and while GAD showed similar measurement variability and discriminative performance as a segmentation-based method (GAS), it was able to successfully measure growth on complex nodules where GAS failed.",

keywords = "Density change, Lung cancer, Pulmonary nodule growth, X-ray tomography",

author = "Jirapatnakul, {A. C.} and Reeves, {A. P.} and Biancardi, {A. M.} and Yankelevitz, {D. F.} and Henschke, {C. I.}",

year = "2009",

doi = "10.1109/ISBI.2009.5193187",

language = "English",

isbn = "9781424439324",

series = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",

pages = "855--858",

booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging",

note = "2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 ; Conference date: 28-06-2009 Through 01-07-2009",

}

Jirapatnakul, AC, Reeves, AP, Biancardi, AM, Yankelevitz, DF & Henschke, CI 2009, Semi-automated measurement of pulmonary nodule growth without explicit segmentation. in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009., 5193187, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 855-858, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, Boston, MA, United States, 28/06/09. https://doi.org/10.1109/ISBI.2009.5193187

Semi-automated measurement of pulmonary nodule growth without explicit segmentation. / Jirapatnakul, A. C.; Reeves, A. P.; Biancardi, A. M. et al.
Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 855-858 5193187 (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Henschke, C. I.

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AB - Many nodule measurement methods rely on accurate segmentation of the nodule and may fail with complex nodule morphologies; often slight variations in segmentation result in large volume differences. A method, growth analysis from density (GAD), is presented that measures nodule growth without explicit segmentation through the application of a Gaussian weighting function to a region around the nodule, avoiding the drawbacks of segmentation-based methods. The resulting mean density is used as a surrogate for volume when computing growth. A zero-change nodule dataset was used to establish the variability of the method, followed by testing on datasets of stable, malignant, and complex nodules. There was no significant difference in percent volume change between the methods (p=0.55), and while GAD showed similar measurement variability and discriminative performance as a segmentation-based method (GAS), it was able to successfully measure growth on complex nodules where GAS failed.

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Jirapatnakul AC, Reeves AP, Biancardi AM, Yankelevitz DF, Henschke CI. Semi-automated measurement of pulmonary nodule growth without explicit segmentation. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 855-858. 5193187. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009). doi: 10.1109/ISBI.2009.5193187

Semi-automated measurement of pulmonary nodule growth without explicit segmentation

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