OC-0156: MRI only prostate radiotherapy using synthetic CT images
نویسندگان
چکیده
منابع مشابه
Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.
Magnetic resonance imaging (MRI)-guided attenuation correction (AC) of positron emission tomography (PET) data and/or radiation therapy (RT) treatment planning is challenged by the lack of a direct link between MRI voxel intensities and electron density. Therefore, even if this is not a trivial task, a pseudo-computed tomography (CT) image must be predicted from MRI alone. In this work, we prop...
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The department of Radiation Oncology at Calvary Mater Newcastle, treats approximately 1,800 new patients per year. When it comes to prostate treatments, MR scans are used in addition to CT for treatment planning. Having to undergo two scans however is a burden both to patients as well as the health system. We have looked into addressing this by replacing the CT by an MR-only workflow when treat...
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Highly targeted treatment planning is at the foundation of successful radiotherapy. With its superb and tunable soft-tissue contrast, MRI has in recent years emerged as an imaging modality to drive delineation accuracy of targets and organs at risk. With the introduction of the fi rst commercially available MR-only simulation package, Philips continues to pave the way for the adoption and imple...
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BACKGROUND Magnetic resonance imaging (MRI) has been incorporated as an adjunct to CT to take advantage of its excellent soft tissue contrast for contouring. MR-only treatment planning approaches have been developed to avoid errors introduced during the MR-CT registration process. The purpose of this study is to evaluate calculated dose distributions after incorporating a novel synthetic CT (sy...
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Purpose: Non-cancerous prostate lesions such as prostate calcification, prostate enlargement, and prostate inflammation cause too many problems for men’s health. This research proposes a novel approach, a combination of image processing techniques and deep learning methods for classification and segmentation of the prostate in CT-scan images by considering the experienced physicians’ reports. ...
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ژورنال
عنوان ژورنال: Radiotherapy and Oncology
سال: 2016
ISSN: 0167-8140
DOI: 10.1016/s0167-8140(16)31405-0