AIMC Topic: Protons

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Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data.

AJR. American journal of roentgenology Jul 19, 2023
The confounder-corrected chemical shift-encoded MRI (CSE-MRI) sequence used to determine proton density fat fraction (PDFF) for hepatic fat quantification is not widely available. As an alternative, hepatic fat can be assessed by a two-point Dixon m...
Retrospective Studies Female Aged Humans Prospective Studies Liver Non-alcoholic Fatty Liver Disease Protons Middle Aged Deep Learning Magnetic Resonance Imaging Adult Male
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PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.

Scientific reports Jul 12, 2023
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization and quantification of regional lung ventilation; however, these techniques require specialized equipment and exogenous contrast, limiting clinical adop...
Magnetic Resonance Imaging Respiration Protons Lung Deep Learning Humans COVID-19
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A review of machine learning applications for the proton MR spectroscopy workflow.

Magnetic resonance in medicine Jul 4, 2023
This literature review presents a comprehensive overview of machine learning (ML) applications in proton MR spectroscopy (MRS). As the use of ML techniques in MRS continues to grow, this review aims to provide the MRS community with a structured over...
Magnetic Resonance Spectroscopy Proton Magnetic Resonance Spectroscopy Protons Machine Learning Workflow
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MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T -induced blurring in spin echo sequences.

Magnetic resonance in medicine Jun 25, 2023
PURPOSE: An end-to-end differentiable 2D Bloch simulation is used to reduce T induced blurring in single-shot turbo spin echo sequences, also called rapid imaging with refocused echoes (RARE) sequences, by using a joint optimization of refocusing fli...
Protons Computer Simulation Time Factors Magnetic Resonance Imaging Neural Networks, Computer
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Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.

Journal of applied clinical medical physics Jun 19, 2023
PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS).
Radiotherapy, Intensity-Modulated Proton Therapy Protons Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Deep Learning Organs at Risk Retrospective Studies
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Deep learning-based protoacoustic signal denoising for proton range verification.

Biomedical physics & engineering express May 12, 2023
Proton therapy is a type of radiation therapy that can provide better dose distribution compared to photon therapy by delivering most of the energy at the end of range, which is called the Bragg peak (BP). The protoacoustic technique was developed to...
Protons Deep Learning Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Proton Therapy
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The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.

European radiology Apr 4, 2023
OBJECTIVES: We aimed to evaluate the effect of hepatic steatosis (HS) on liver volume and to develop a formula to estimate lean liver volume correcting the HS effect.
Humans Protons Young Adult Magnetic Resonance Imaging Adult Liver Retrospective Studies Male Non-alcoholic Fatty Liver Disease Deep Learning
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A feasibility study of enhanced prompt gamma imaging for range verification in proton therapy using deep learning.

Physics in medicine and biology Mar 20, 2023
. Range uncertainty is a major concern affecting the delivery precision in proton therapy. The Compton camera (CC)-based prompt-gamma (PG) imaging is a promising technique to provide 3Drange verification. However, the conventional back-projected PG i...
Protons Phantoms, Imaging Proton Therapy Gamma Rays Feasibility Studies Deep Learning Monte Carlo Method Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Editorial for "Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor and Multi-disease Study".

Journal of magnetic resonance imaging : JMRI Feb 27, 2023
Magnetic Resonance Imaging Deep Learning Protons Multicenter Studies as Topic Image Processing, Computer-Assisted Humans Lung
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Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor, and Multi-disease Study.

Journal of magnetic resonance imaging : JMRI Feb 17, 2023
BACKGROUND: Recently, deep learning via convolutional neural networks (CNNs) has largely superseded conventional methods for proton ( H)-MRI lung segmentation. However, previous deep learning studies have utilized single-center data and limited acqui...
Lung Humans Female Deep Learning Retrospective Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Male Protons
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