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SU-E-J-54: Bone Detection in MR Images and Absorbed Dose in a Material Behind Bones in Radiotherapy
J Korhonen1, M Kapanen1, J Keyriläinen1
1Helsinki University Central Hospital, Department of Oncology, Helsinki, Finland.
Accurate bone localization in MRI is feasible for radiotherapy planning. Absorbed dose reduction behind bone is not solely diameter-dependent, suggesting MRI-only planning is viable.
Area of Science:
- Medical Physics
- Radiotherapy
- Medical Imaging
Background:
- Magnetic Resonance (MR) imaging is increasingly used in radiotherapy treatment planning.
- Accurate bone localization is crucial for dose calculation and treatment efficacy.
- The impact of bone density assumptions in pseudo-CT images on dose calculation requires investigation.
Purpose of the Study:
- To assess the accuracy of bone localization using MR images alone for radiotherapy planning.
- To measure absorbed dose in materials situated behind bone structures.
- To evaluate dose calculation errors introduced by using a single electron density for bone in pseudo-CT images.
Main Methods:
- A phantom with deer bones and gelatine was used to evaluate MR image accuracy.
- Bone edge location and diameter were compared between MR images and actual measurements.
- Absorbed dose behind bone was measured using a matrix detector at 6 and 15 MV.
- Dose calculation errors were quantified by comparing pseudo-CT derived results with standard CT-based calculations using superposition and Monte Carlo algorithms.
Main Results:
- Bone localization accuracy within 1 mm was achieved using MR images.
- Measured absorbed dose behind a 2.5-cm thick femur was approximately 1% lower than at the bone edge.
- Bulk density pseudo-CT images introduced dose calculation errors up to nearly 2% behind the femur.
Conclusions:
- Bone localization using MR images alone is not a limiting factor for radiotherapy treatment planning.
- The reduction in absorbed dose behind bone is not exclusively dependent on bone diameter.
- Further research is recommended for generating complex pseudo-CT images and improving dose calculations.
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