[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Xu, 2023 - Google Patents

Image Guided Adaptive Therapy Strategies for Robustly Optimized Intensity Modulated Proton Therapy

Xu, 2023

View PDF
Document ID
3936662740485718608
Author
Xu Y
Publication year

External Links

Snippet

Intensity modulated proton therapy (IMPT) allows for better normal tissue sparing as compared to photon-based therapy. At the cost of high dose conformity, IMPT is very sensitive to proton range uncertainty arising from setup error and patient anatomical …
Continue reading at scholarship.miami.edu (PDF) (other versions)

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/103Treatment planning systems
    • A61N5/1031Treatment planning systems using a specific method of dose optimization
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1064Monitoring, verifying, controlling systems and methods for adjusting radiation treatment in response to monitoring
    • A61N5/1065Beam adjustment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1049Monitoring, verifying, controlling systems and methods for verifying the position of the patient with respect to the radiation beam
    • A61N2005/1061Monitoring, verifying, controlling systems and methods for verifying the position of the patient with respect to the radiation beam using an x-ray imaging system having a separate imaging source
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/103Treatment planning systems
    • A61N5/1038Treatment planning systems taking into account previously administered plans applied to the same patient, i.e. adaptive radiotherapy
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1075Monitoring, verifying, controlling systems and methods for testing, calibrating, or quality assurance of the radiation treatment apparatus
    • A61N2005/1076Monitoring, verifying, controlling systems and methods for testing, calibrating, or quality assurance of the radiation treatment apparatus using a dummy object placed in the radiation field, e.g. phantom
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N2005/1092Details
    • A61N2005/1096Elements inserted into the radiation path placed on the patient, e.g. bags, bolus, compensators
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1042X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy with spatial modulation of the radiation beam within the treatment head
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1001X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy using radiation sources introduced into or applied onto the body; brachytherapy
    • A61N5/1014Intracavitary radiation therapy
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1077Beam delivery systems

Similar Documents

Publication Publication Date Title
US20230181930A1 (en) System and method for radiation therapy using spatial-functional mapping and dose sensitivity of branching structures and functional sub-volumes
Barateau et al. Comparison of CBCT‐based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning
Kurz et al. Investigating deformable image registration and scatter correction for CBCT‐based dose calculation in adaptive IMPT
Elmahdy et al. Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer
Kazemifar et al. Dosimetric evaluation of synthetic CT generated with GANs for MRI‐only proton therapy treatment planning of brain tumors
Rosu et al. Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications
Farjam et al. Dosimetric evaluation of an atlas‐based synthetic CT generation approach for MR‐only radiotherapy of pelvis anatomy
JP2009545394A (en) Biologically guided adaptive treatment planning
WO2016144915A1 (en) Automatic determination of radiation beam configurations for patient-specific radiation therapy planning
Schlachter et al. State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning
Hsu et al. A technique to generate synthetic CT from MRI for abdominal radiotherapy
Cros et al. Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers
Lin et al. Developing an AI-assisted planning pipeline for hippocampal avoidance whole brain radiotherapy
Coolens et al. The susceptibility of IMRT dose distributions to intrafraction organ motion: an investigation into smoothing filters derived from four dimensional computed tomography data
Amarsee et al. Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithm
Xu Image Guided Adaptive Therapy Strategies for Robustly Optimized Intensity Modulated Proton Therapy
Moriya et al. Feasibility of dynamic adaptive passive scattering proton therapy with computed tomography image guidance in the lung
Castelli et al. The role of imaging in adaptive radiotherapy for head and neck cancer
Kim et al. Generation of tissues outside the field of view (FOV) of radiation therapy simulation imaging based on machine learning and patient body outline (PBO)
Costea Adaptive strategies based on artificial intelligence for radiotherapy of head-and-neck cancer treatment
Yang et al. Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy
Zhou et al. Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning
Anaya Artificial intelligence based auto-contouring solutions for use in radiotherapy treatment planning of head and neck cancer
Dai et al. High-Fidelity CT on Rails-Based Characterization of Delivered Dose Variation in Conformal Head and Neck Treatments
Ma Efficient and intelligent radiotherapy planning and adaptation