Quantitative image measurements for outcome analysis of lung nodule treatment

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsEric A. Hoffman
Pages480-488
Number of pages9
Volume2709
StatePublished - Jan 1 1996
EventMedical Imaging 1996: Physiology and Function from Multidimensional Images - Newport Beach, CA, USA
Duration: Feb 11 1996Feb 13 1996

Other

OtherMedical Imaging 1996: Physiology and Function from Multidimensional Images
CityNewport Beach, CA, USA
Period2/11/962/13/96

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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