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Proceedings Paper

Quantitative image measurements for outcome analysis of lung nodule treatment
Author(s): Xiaoming Zhu; Ki-Nam Lee; Stephen T. C. Wong; H. K. Huang
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Paper Abstract

In this study, we designed and implemented a temporal image database for outcome analysis of lung nodules based on spiral CT images. The software package is composed of three parts. They are, respectively, a database management system which stores patient image data and nodule information; a user-friendly graphical user interface which allows a user to interface with the image database; and image processing tools that are designed to segment out lung nodules in the CT image with a simple mouse click anywhere inside a nodule. The image database uses the relational Sybase database system. Patient images and nodule information are stored in separate tables. Software interface has been designed to allow a user to retrieve any patient study from the picture archiving and communication system into the image database.

Paper Details

Date Published: 8 April 1996
PDF: 9 pages
Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); doi: 10.1117/12.237890
Show Author Affiliations
Xiaoming Zhu, Univ. of California/San Francisco (United States)
Ki-Nam Lee, Univ. of California/San Francisco and Dong-A Univ. (Korea) (United States)
Stephen T. C. Wong, Univ. of California/San Francisco (United States)
H. K. Huang, Univ. of California/San Francisco (United States)


Published in SPIE Proceedings Vol. 2709:
Medical Imaging 1996: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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