Quantitative image measurements for outcome analysis of lung nodule treatment

Xiaoming Zhu; Ki-Nam Lee; Stephen T. C. Wong; H. K. Huang

doi:10.1117/12.237890

8 April 1996 Quantitative image measurements for outcome analysis of lung nodule treatment

Xiaoming Zhu, Ki-Nam Lee, Stephen T. C. Wong, H. K. Huang

Proceedings Volume 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images; (1996) https://doi.org/10.1117/12.237890
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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.

Citation Download Citation

Xiaoming Zhu, Ki-Nam Lee, Stephen T. C. Wong, and H. K. Huang "Quantitative image measurements for outcome analysis of lung nodule treatment", Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); https://doi.org/10.1117/12.237890

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