Fractal Analysis of Non-Solid Pulmonary Nodules in Lung-CT Scans

Author

Holden, Todd ; Cheung, E. ; Flamholz, A. ; Tremberger, G., Jr. ; Dunkley, X. ; Sullivan, R. ; Subramaniam, R. ; Schneider, P. ; Lieberman, D. ; Cheung, T.

Author_Institution

Dept. of Phys., CUNY Queensborogh Community Coll., Bayside, NY

fYear

2008

Firstpage

2339

Lastpage

2341

Abstract

We have developed a fractal algorithm to supplement the current analysis in lung-CT scans on non-solid pulmonary nodule. The Cornell University Lung-CT Scans database and the US National Institute of Health ImageJ software were used. We found that the inner core average intensity could be a marker for the fractal dimension of a non-solid nodule. Z-scan image analysis of the adjacent boundaries showed that the fractal dimension has a range of about 0.1 in the studied cases. Extension of this proof-of-concept fractal analysis to growth rate estimation is also discussed.

Keywords

computerised tomography; diagnostic radiography; fractals; lung; medical image processing; Cornell University Lung-CT Scans database; US National Institute of Health ImageJ software; fractal dimension analysis; growth rate estimation; lung-CT scans; nonsolid pulmonary nodules; z-scan image analysis; Algorithm design and analysis; Cancer; Computed tomography; Current supplies; Fluctuations; Fractals; Image analysis; Image databases; Lungs; Magnetic analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.917

Filename

4535797