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Technical note: evaluation of a region growing algorithm for segmenting pelvic computed tomography images during
A J Neal1, G Sivewright, R Bentley
1Institute of Cancer Research, Sutton, Surrey, UK.
The British Journal of Radiology
|April 1, 1994
Summary
A new computer segmentation algorithm significantly speeds up radiotherapy planning by reducing pelvic CT segmentation time by 2.4 times. This boosts user productivity without affecting treatment plan quality.
Area of Science:
- Medical Imaging
- Radiation Oncology
- Computational Anatomy
Background:
- Radiotherapy treatment planning requires accurate segmentation of anatomical structures from medical images.
- Manual segmentation is time-consuming and labor-intensive, impacting user productivity.
Purpose of the Study:
- To evaluate a computer segmentation algorithm for its efficiency in radiotherapy planning.
- To determine if the algorithm increases segmentation speed and user productivity.
Main Methods:
- Six pelvic computed tomography (CT) datasets were manually segmented to establish baseline times.
- The same datasets were segmented using a region growing algorithm with manual editing support.
- Segmentation times were compared between manual and algorithmic approaches.
Main Results:
- The computer segmentation algorithm decreased segmentation times by a factor of 2.4 (p < 0.0001).
- Time savings were primarily attributed to rapid segmentation of pelvic bones and external contours.
- No compromise in the quality of the final radiotherapy plan was observed.
Conclusions:
- Computer segmentation algorithms offer significant time savings for pelvic CT data in radiotherapy planning.
- The algorithm enhances efficiency by reducing the labor-intensive nature of manual segmentation.
- This technology is valuable for improving radiotherapy workflow and user productivity.