Article

A Machine Learning based model for a Dose Point Kernel calculation

2023-01-09

Abstract excerpt

<title>Abstract</title> <p>Purpose: Absorbed dose calculation by kernel convolution requires the prior determination of dose point kernels (DPK). This study shows applications of machine learning to generate the DPKs for monoenergetic sources and a model to obtain DPKs for beta emitters. <h4>Methods:</h4> DPK for monoenergetic electron sources were calculated using the FLUKA Monte Carlo (MC) code for many materia...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 95a31b08-df79-5454-bbb5-553447ff622b
DOI: 10.21203/rs.3.rs-2419706/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Machine Learning based model for a Dose Point Kernel calculationDOI 10.21203/rs.3.rs-2419706/v1Read

Dual-energy CT-based virtual monoenergetic imaging via unsupervised learningSemantic proximity Read

Model Based Deep Learning Method for Focused Ultrasound Pathway ScanningSemantic proximity Read

Quantitative Dixon-Based PDFF and R2* Estimation and Optimization on MR-Simulation and MR-Linac Devices for the Pelvis and Head and Neck: A Prospective R-IDEAL Stage 0-2a StudySemantic proximity Read

Physical Density Estimations of Single- and Dual-energy CT Using Material-based Forward Projection AlgorithmSemantic proximity Read

A multi-detector comparison to determine convergence of measured relative output factors for small field dosimetryAuthor InformationDo Duc Chi1, Tran Ngoc Toan2 and Robin Hill3,4,5Semantic proximity Read

Framing protocol optimization in oncological Patlak parametric imaging with uKineticsSemantic proximity Read

Construct a Refined Monte Carlo Model for BNCT Dose Calculation and Assessment by Converting HU Value to Material Compositions for ROIsSemantic proximity Read

Clinical implementation of PLANET®Dose for dosimetric assessment after [177Lu]Lu-DOTA-TATE: comparison with Dosimetry Toolkit® and OLINDA/EXM® V1.0Semantic proximity Read

Monte Carlo Dose Estimation for Head, Chest and Abdominopelvic CT ScansSemantic proximity Read

High precision fluorescence tomography-guided system for pre-clinical radiation research: system design and validationSemantic proximity Read

Transfer of Fractionated Treatment Plans from Ring-Gantry to L-Shaped Linacs Using Fluence Map ConvolutionSemantic proximity Read

pyMKM: An Open-Source Python Package for Microdosimetric Kinetic Model Calculation in Research and Clinical ApplicationsSemantic proximity Read