AIMC Topic: Radiometry

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On the Use of Artificial Intelligence for Dosimetry of Radiopharmaceutical Therapies.

Nuklearmedizin. Nuclear medicine Oct 12, 2023
Routine clinical dosimetry along with radiopharmaceutical therapies is key for future treatment personalization. However, dosimetry is considered complex and time-consuming with various challenges amongst the required steps within the dosimetry workf...
Neoplasms Radiopharmaceuticals Radiometry Humans Artificial Intelligence
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Deep learning-based detection and classification of multi-leaf collimator modeling errors in volumetric modulated radiation therapy.

Journal of applied clinical medical physics Aug 26, 2023
PURPOSE: The purpose of this study was to create and evaluate deep learning-based models to detect and classify errors of multi-leaf collimator (MLC) modeling parameters in volumetric modulated radiation therapy (VMAT), namely the transmission factor...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry Deep Learning Radiotherapy Planning, Computer-Assisted Humans Male
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A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques.

Physics in medicine and biology Apr 7, 2023
A methodology is introduced for the development of an internal dosimetry prediction toolkit for nuclear medical pediatric applications. The proposed study exploits Artificial Intelligence techniques using Monte Carlo simulations as ground truth for a...
Humans Female Male Adolescent Artificial Intelligence Machine Learning Tissue Distribution Phantoms, Imaging Radiometry Radiopharmaceuticals Monte Carlo Method Child, Preschool Child
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Rapid estimation of patient-specific organ doses using a deep learning network.

Medical physics Mar 23, 2023
BACKGROUND: Patient-specific organ-dose estimation in diagnostic CT examinations can provide useful insights on individualized secondary cancer risks, protocol optimization, and patient management. Current dose estimation techniques mainly rely on ti...
Radiometry Monte Carlo Method Phantoms, Imaging Humans Deep Learning Radiation Dosage Tomography, X-Ray Computed
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Geometric and dosimetric evaluation of deep learning based auto-segmentation for clinical target volume on breast cancer.

Journal of applied clinical medical physics Mar 15, 2023
BACKGROUND: Recently, target auto-segmentation techniques based on deep learning (DL) have shown promising results. However, inaccurate target delineation will directly affect the treatment planning dose distribution and the effect of subsequent radi...
Radiometry Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Mastectomy Female Humans Breast Neoplasms
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Dicentric chromosome assay using a deep learning-based automated system.

Scientific reports Dec 21, 2022
The dicentric chromosome assay is the "gold standard" in biodosimetry for estimating radiation exposure. However, its large-scale deployment is limited owing to its time-consuming nature and requirement for expert reviewers. Therefore, a recently dev...
Humans Deep Learning Dose-Response Relationship, Radiation Radiometry Gamma Rays Chromosome Aberrations Chromosomes, Human
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Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images.

Physics in medicine and biology Dec 6, 2022
Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan verification protocols, predicting gamma passing rates (GPR) based on calculated modulation complexity metrics because of their direct relation to dose d...
Radiotherapy Neural Networks, Computer Radiometry Machine Learning
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X-ray dose profiles using artificial neural networks.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Nov 28, 2022
This paper introduces a novel computational method to simulate and predict radiation dose profiles in a water phantom irradiated by X-rays of 6 and 15 MV at different depths and field sizes using Artificial Neural Networks within the error margin req...
Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage X-Rays Neural Networks, Computer Radiometry Monte Carlo Method Radiography Phantoms, Imaging
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Radiation Dosimetry, Artificial Intelligence and Digital Twins: Old Dog, New Tricks.

Seminars in nuclear medicine Nov 12, 2022
Developments in artificial intelligence, particularly convolutional neural networks and deep learning, have the potential for problem solving that has previously confounded human intelligence. Accurate prediction of radiation dosimetry pre-treatment ...
Precision Medicine Radiometry Humans Neural Networks, Computer Artificial Intelligence
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Deep learning methods for enhancing cone-beam CT image quality toward adaptive radiation therapy: A systematic review.

Medical physics Jul 18, 2022
The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as computational resources and algorithmic sophistication have advanced in tandem. CBCT imaging has the potential to facilitate online adaptive radiation...
Cone-Beam Computed Tomography Humans Radiotherapy Planning, Computer-Assisted Radiometry Image Processing, Computer-Assisted Phantoms, Imaging Radiotherapy Dosage Deep Learning
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