Assessment of MRI-Based Attenuation Correction for MRI-Only Radiotherapy Treatment Planning of the Brain.
Iiro RantaJarmo TeuhoJani LindenRiku KlénMika TeräsMika KapanenJani KeyriläinenPublished in: Diagnostics (Basel, Switzerland) (2020)
Magnetic resonance imaging-only radiotherapy treatment planning (MRI-only RTP) and positron emission tomography (PET)-MRI imaging require generation of synthetic computed tomography (sCT) images from MRI images. In this study, initial dosimetric evaluation was performed for a previously developed MRI-based attenuation correction (MRAC) method for use in MRI-only RTP of the brain. MRAC-based sCT images were retrospectively generated from Dixon MR images of 20 patients who had previously received external beam radiation therapy (EBRT). Bone segmentation performance and Dice similarity coefficient of the sCT conversion method were evaluated for bone volumes on CT images. Dose calculation accuracy was assessed by recalculating the CT-based EBRT plans using the sCT images as the base attenuation data. Dose comparison was done for the sCT- and CT-based EBRT plans in planning target volume (PTV) and organs at risk (OAR). Parametric dose comparison showed mean relative differences of <0.4% for PTV and <1.0% for OARs. Mean gamma index pass rates of 95.7% with the 2%/2 mm agreement criterion and 96.5% with the 1%/1 mm agreement criterion were determined for glioma and metastasis patients, respectively. Based on the results, MRI-only RTP using sCT images generated from MRAC images can be a feasible alternative for radiotherapy of the brain.
Keyphrases
- contrast enhanced
- computed tomography
- magnetic resonance imaging
- positron emission tomography
- deep learning
- convolutional neural network
- diffusion weighted imaging
- radiation therapy
- optical coherence tomography
- magnetic resonance
- chronic kidney disease
- end stage renal disease
- locally advanced
- artificial intelligence
- machine learning
- pet ct
- pet imaging
- radiation induced
- squamous cell carcinoma
- blood brain barrier
- bone mineral density
- big data
- brain injury
- body composition
- soft tissue
- clinical evaluation