eContour

eContour provides image-based contouring guidance and annotated case examples to support evidence-based target and organ-at-risk delineation for radiation oncology treatment planning.


Key Features:

  • Interactive 3D Visualization: Displays JPEG images generated from DICOM files in a viewer that enables scrolling through three-dimensional patient image sets.
  • Image Manipulation Tools: Allows toggling of contours and overlaying of images together with radiation dose distributions.
  • Evidence-Based Guidelines: Associates each case with brief written content that references published contouring guidelines for delineation.
  • Technology Stack: Implements viewer and image handling using HTML5, Python, and JavaScript.

Scientific Applications:

  • Radiation oncology treatment planning: Supports precise target and organ-at-risk delineation for radiation therapy planning.
  • Point-of-care decision support: Provides image-guided, case-based guidance to inform contouring decisions at the time of care.
  • Standardization and quality improvement: Addresses variation in contouring quality by providing real patient cases and guideline-referenced examples to promote consistent delineation practices.

Methodology:

Implementation uses HTML5, Python, and JavaScript to render JPEGs generated from DICOM files, enabling scrolling through three-dimensional image sets and overlaying contours and radiation dose distributions.

Topics

Details

Tool Type:
web application
Programming Languages:
JavaScript, Python
Added:
1/14/2020
Last Updated:
1/14/2021

Operations

Publications

Sherer MV, Lin D, Puri K, Panjwani N, Zhang Z, Murphy JD, Gillespie EF. Development and Usage of <i>eContour</i>, a Novel, Three-Dimensional, Image-Based Web Site to Facilitate Access to Contouring Guidelines at the Point of Care. JCO Clinical Cancer Informatics. 2019. doi:10.1200/cci.19.00041. PMID:31756136. PMCID:PMC6882522.