Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy.

@article{Zhang2007AutomaticDO,
  title={Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy.},
  author={Tiezhi Zhang and Yuwei Chi and Elisa Meldolesi and D i Yan},
  journal={International journal of radiation oncology, biology, physics},
  year={2007},
  volume={68 2},
  pages={522-30}
}
PURPOSE To develop and validate a fully automatic region-of-interest (ROI) delineation method for on-line adaptive radiotherapy. METHODS AND MATERIALS On-line adaptive radiotherapy requires a robust and automatic image segmentation method to delineate ROIs in on-line volumetric images. We have implemented an atlas-based image segmentation method to automatically delineate ROIs of head-and-neck helical computed tomography images. A total of 32 daily computed tomography images from 7 head-and… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 30 references

Radiation Oncology

I J.
Physics Volume 68, Number • 2007

Overview of image-guided radiation therapy.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists • 2006

Radiation Oncology ● Biology ● Physics Volume 68, Number 2, 2007 evaluations of an online image-guidance strategy for 3D-CRT of prostate cancer

I J.
Int J Radiat Oncol Biol Phys 2006;64:1596–1609 • 2006

Comparison of human and automatic segmentations of kidneys from CT images.

International journal of radiation oncology, biology, physics • 2005

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