التفاصيل البيبلوغرافية
| العنوان: |
Technical Note: A methodology for improved accuracy in stopping power estimation using MRI and CT |
| المؤلفون: |
Scholey, Jessica E, Chandramohan, Dharshan, Naren, Tarun, Liu, William, Larson, Peder Eric Zufall, Sudhyadhom, Atchar |
| المصدر: |
Medical Physics, vol 48, iss 1 |
| بيانات النشر: |
eScholarship, University of California |
| سنة النشر: |
2021 |
| المجموعة: |
University of California: eScholarship |
| مصطلحات موضوعية: |
Medical and Biological Physics, Physical Sciences, Biomedical Imaging, Cancer, Bioengineering, Electrons, Magnetic Resonance Imaging, Phantoms, Imaging, Proton Therapy, Protons, Radiotherapy Planning, Computer-Assisted, Tomography, X-Ray Computed, dose calculation for radiotherapy, quantitative imaging, Other Physical Sciences, Biomedical Engineering, Oncology and Carcinogenesis, Nuclear Medicine & Medical Imaging |
| جغرافية الموضوع: |
342 - 353 |
| الوصف: |
PurposeProton therapy is becoming an increasingly popular cancer treatment modality due to the proton's physical advantage in that it deposits the majority of its energy at the distal end of its track where the tumor is located. The proton range in a material is determined from the stopping power ratio (SPR) of the material. However, SPR is typically estimated based on a computed tomography (CT) scan which can lead to range estimation errors due to the difference in x-ray and proton interactions in matter, which can preclude the ability to utilize protons to their full potential. Applications of magnetic resonance imaging (MRI) in radiotherapy have increased over the past decade and using MRI to calculate SPR directly could provide numerous advantages. The purpose of this study was to develop a practical implementation of a novel multimodal imaging method for estimating SPR and compare the results of this method to physical measurements in which values were computed directly using tissue substitute materials fabricated to mimic skin, muscle, adipose, and spongiosa bone.MethodsFor both the multimodal imaging method and physical measurements, SPR was calculated using the Bethe-Bloch equation from values of relative electron density and mean ionization potential determined for each tissue. Parameters used to estimate SPR using the multimodal imaging method were extracted from Dixon water-only and (1 H) proton density-weighted zero echo time MRI sequences and CT, with both kVCT and MVCT used separately to evaluate the performance of each. For comparison, SPR was also computed from kVCT using the stoichiometric method, the current clinical standard.ResultsResults showed that our multimodal imaging approach using MRI with either kVCT or MVCT was in close agreement to SPR calculated from physical measurements for the four tissue substitutes evaluated. Using MRI and MVCT, SPR values estimated using our method were within 1% of physical measurements and were more accurate than the stoichiometric method for the tissue ... |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| العلاقة: |
qt5k3972qv; https://escholarship.org/uc/item/5k3972qvTest |
| الإتاحة: |
https://escholarship.org/uc/item/5k3972qvTest |
| حقوق: |
public |
| رقم الانضمام: |
edsbas.8DE4E149 |
| قاعدة البيانات: |
BASE |
