Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting. (October 2022)
- Record Type:
- Journal Article
- Title:
- Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting. (October 2022)
- Main Title:
- Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting
- Authors:
- Brynolfsson, Patrik
Lerner, Minna
Sundgren, Pia C.
Jamtheim Gustafsson, Christian
Nilsson, Markus
Szczepankiewicz, Filip
Olsson, Lars E. - Abstract:
- Highlights: Demonstrate technical feasibility of tensor-valued diffusion MRI in radiotherapy. Diffusion MRI parameters correlate to coil selection and imaging parameters. Parameter characteristics are surveyed in healthy brains and one brain tumor. Tensor-valued encoding facilitates studies of tumor microstructure in radiotherapy. Abstract: Background and purpose: Diagnostic information about cell density variations and microscopic tissue anisotropy can be gained from tensor-valued diffusion magnetic resonance imaging (MRI). These properties of tissue microstructure have the potential to become novel imaging biomarkers for radiotherapy response. However, tensor-valued diffusion encoding is more demanding than conventional encoding, and its compatibility with MR scanners that are dedicated to radiotherapy has not been established. Thus, our aim was to investigate the feasibility of tensor-valued diffusion MRI with radiotherapy dedicated MR equipment. Material and methods: A tensor-valued diffusion protocol was implemented, and five healthy volunteers were scanned with different resolutions using conventional head coil and radiotherapy coil setup with fixation masks. Signal-to-noise-ratio (SNR) was evaluated to assess the risk of signal bias due to rectified noise floor. We also evaluated the repeatability and reproducibility of the microstructure parameters. One patient with brain metastasis was scanned to investigate the image quality and the transferability of the setup toHighlights: Demonstrate technical feasibility of tensor-valued diffusion MRI in radiotherapy. Diffusion MRI parameters correlate to coil selection and imaging parameters. Parameter characteristics are surveyed in healthy brains and one brain tumor. Tensor-valued encoding facilitates studies of tumor microstructure in radiotherapy. Abstract: Background and purpose: Diagnostic information about cell density variations and microscopic tissue anisotropy can be gained from tensor-valued diffusion magnetic resonance imaging (MRI). These properties of tissue microstructure have the potential to become novel imaging biomarkers for radiotherapy response. However, tensor-valued diffusion encoding is more demanding than conventional encoding, and its compatibility with MR scanners that are dedicated to radiotherapy has not been established. Thus, our aim was to investigate the feasibility of tensor-valued diffusion MRI with radiotherapy dedicated MR equipment. Material and methods: A tensor-valued diffusion protocol was implemented, and five healthy volunteers were scanned with different resolutions using conventional head coil and radiotherapy coil setup with fixation masks. Signal-to-noise-ratio (SNR) was evaluated to assess the risk of signal bias due to rectified noise floor. We also evaluated the repeatability and reproducibility of the microstructure parameters. One patient with brain metastasis was scanned to investigate the image quality and the transferability of the setup to diseased tissue. Results: A resolution of 3 × 3 × 3 mm 3 provided images with SNR > 3 for 93 % of the voxels using radiotherapy coil setup. The parameter maps and repeatability characteristics were comparable to those observed with a conventional head coil. The patient evaluation demonstrated successful parameter analysis also in tumor tissue, with SNR > 3 for 93 % of the voxels. Conclusion: We demonstrate that tensor-valued diffusion MRI is compatible with radiotherapy fixation masks and coil setup for investigations of microstructure parameters. The reported reproducibility may be used to plan future investigations of imaging biomarkers in brain cancer radiotherapy. … (more)
- Is Part Of:
- Physics and imaging in radiation oncology. Volume 24(2022)
- Journal:
- Physics and imaging in radiation oncology
- Issue:
- Volume 24(2022)
- Issue Display:
- Volume 24, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 24
- Issue:
- 2022
- Issue Sort Value:
- 2022-0024-2022-0000
- Page Start:
- 144
- Page End:
- 151
- Publication Date:
- 2022-10
- Subjects:
- ADC apparent diffusion coefficient -- DIVIDE Diffusional Variance Decomposition -- FA fractional anisotropy -- GTV gross tumor volume -- MD mean diffusivity -- MKA anisotropic diffusional variance -- MKI isotropic diffusional variance -- MRI magnetic resonance imaging -- RT radiotherapy -- SNR signal to noise ratio -- µFA microscopic fractional anisotropy
MRI in radiotherapy -- Tensor-valued diffusion -- Brain tumors -- Quantitative imaging
Radiotherapy -- Periodicals
Radiation dosimetry -- Periodicals
Cancer -- Imaging -- Periodicals
Oncology -- Periodicals
615.842 - Journal URLs:
- http://www.sciencedirect.com/ ↗
https://www.journals.elsevier.com/physics-and-imaging-in-radiation-oncology/ ↗ - DOI:
- 10.1016/j.phro.2022.11.005 ↗
- Languages:
- English
- ISSNs:
- 2405-6316
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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- 24720.xml