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A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
Published on: May 20, 2016
Development and clinical implementation of an enhanced display algorithm for use in networked electronic portal
F Van den Heuvel1, I Han, S Chungbin
1Barbara Ann Karmanos Cancer Institute, ROC-Harper Hospital, Wayne State University, Detroit, MI 48201, USA. vandenho@karmanos.org
International Journal of Radiation Oncology, Biology, Physics
|November 26, 1999
Summary
A new algorithm preprocesses electronic portal imaging device (EPID) images, improving clinical usability on any monitor. This system-independent tool enhances image mobility and distribution in departments.
Area of Science:
- Medical Physics
- Radiotherapy Imaging
- Image Processing
Background:
- Electronic portal imaging devices (EPIDs) are crucial for radiotherapy verification.
- Current EPID image display is often limited to specialized workstations, hindering workflow.
- Standard display techniques may not optimally present clinically relevant information.
Purpose of the Study:
- To introduce and clinically validate a preprocessing algorithm for EPID images.
- To enable display of EPID images on generic computer monitors without losing clinical usability.
- To enhance the mobility and distribution of EPID images within a clinical department.
Main Methods:
- A preprocessing algorithm with variable parameters was developed and tested.
- An observer study involving 316 pelvic EPID images from cervix and endometrium cancer patients was conducted.
- A scoring system based on visible landmarks was proposed and validated, including noise level assessments and comparison with standard techniques.
Main Results:
- The algorithm rendered EPID images clinically useful, with high scores for visible landmarks.
- Image quality was maintained regardless of patient obesity, a factor often affecting image quality.
- Significant improvement in clinical usefulness compared to standard techniques was observed; the algorithm is fast and requires minimal user interaction.
Conclusions:
- Preprocessing EPID images enables easy detection of clinically relevant landmarks on generic screens.
- The algorithm is system-independent, fast, and facilitates image distribution in generalized commercial formats.
