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Technical Note: Diffusion-weighted MRI with minimal distortion in head-and-neck radiotherapy using a turbo spin echo
Tim Schakel1, Johannes M Hoogduin2, Chris H J Terhaard1
1Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Medical Physics
|May 26, 2017
Summary
Diffusion-weighted imaging (DWI) offers high tumor contrast for radiotherapy. A new sequence, DW-SPLICE, significantly improves geometric accuracy in head-and-neck cancer patients, overcoming limitations of conventional echo planar imaging (EPI).
Area of Science:
- Radiotherapy and Medical Imaging
- Oncology and Diagnostic Techniques
Background:
- Diffusion-weighted (DW) MRI provides high contrast between tumors and surrounding tissues, making it valuable for radiotherapy tumor delineation.
- Conventional echo planar imaging (EPI) DW-MRI suffers from poor geometric accuracy, limiting its application in head-and-neck cancer patients.
Purpose of the Study:
- To implement and evaluate an alternative turbo spin echo sequence, DW-SPLICE, for improved geometric accuracy in DW-MRI of head-and-neck patients.
- To assess the feasibility of DW-SPLICE for accurate tumor delineation in radiotherapy treatment planning.
Main Methods:
- The DW-SPLICE sequence was implemented on a 3.0 T MRI system and tested in 10 patients positioned for radiotherapy.
- Image distortions were quantified using field map analysis at the gross tumor volume (GTV).
- Apparent diffusion coefficient (ADC) values were evaluated using an ice water phantom.
Main Results:
- DW-SPLICE images exhibited no significant image distortions, with a median distortion of 0.2 mm at the GTV.
- Conventional EPI DW-MRI showed a median distortion of 7.2 mm at the GTV.
- ADC values obtained with DW-SPLICE in an ice water phantom were consistent with established literature values.
Conclusions:
- DW-SPLICE enables diffusion-weighted imaging in the treatment position with superior geometric accuracy compared to conventional EPI.
- This technique facilitates precise target volume delineation for radiotherapy planning in head-and-neck cancer patients.

