AIMC Journal:
Medical physics

Showing 171 to 180 of 732 articles

Deep learning proton beam range estimation model for quality assurance based on two-dimensional scintillated light distributions in simulations.

Medical physics Jul 30, 2023
BACKGROUND: Many studies have utilized optical camera systems with volumetric scintillators for quality assurances (QA) to estimate the proton beam range. However, previous analytically driven range estimation methods have the difficulty to derive th...
Computer Simulation Protons Deep Learning Monte Carlo Method Water Proton Therapy Radiotherapy Dosage
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Improvement of phoswich detector-based β+/γ-ray discrimination algorithm with deep learning.

Medical physics Jul 19, 2023
BACKGROUND: Positron probes can accurately localize malignant tumors by directly detecting positrons emitted from positron-emitting radiopharmaceuticals that accumulate in malignant tumors. In the conventional method for direct positron detection, mu...
Positron-Emission Tomography Beta Particles Humans Neoplasms Deep Learning Algorithms
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An unsupervised two-step training framework for low-dose computed tomography denoising.

Medical physics Jul 14, 2023
BACKGROUND: Although low-dose computed tomography (CT) imaging has been more widely adopted in clinical practice to reduce radiation exposure to patients, the reconstructed CT images tend to have more noise, which impedes accurate diagnosis. Recently...
Phantoms, Imaging Machine Learning Algorithms Image Processing, Computer-Assisted Signal-To-Noise Ratio Tomography, X-Ray Computed Humans Neural Networks, Computer
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Robot-assisted augmented reality surgical navigation based on optical tracking for mandibular reconstruction surgery.

Medical physics Jul 11, 2023
PURPOSE: This work proposes a robot-assisted augmented reality (AR) surgical navigation system for mandibular reconstruction. The system accurately superimposes the preoperative osteotomy plan of the mandible and fibula into a real scene. It assists ...
Mandible Robotics Augmented Reality Humans Mandibular Reconstruction Surgery, Computer-Assisted Free Tissue Flaps
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A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

Medical physics Jul 5, 2023
BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) has demonstrated a strong correlation to improved survival in breast cancer (BC) patients. However, pCR rates to NAC are less than 30%, depending on the BC subtype. Ea...
Humans Retrospective Studies Neoadjuvant Therapy Deep Learning Biopsy Treatment Outcome Female Breast Breast Neoplasms
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A deep learning approach to estimate x-ray scatter in digital breast tomosynthesis: From phantom models to clinical applications.

Medical physics Jul 2, 2023
BACKGROUND: Digital breast tomosynthesis (DBT) has gained popularity as breast imaging modality due to its pseudo-3D reconstruction and improved accuracy compared to digital mammography. However, DBT faces challenges in image quality and quantitative...
Deep Learning Mammography Breast Female Breast Neoplasms Phantoms, Imaging Humans X-Rays Datasets as Topic Neural Networks, Computer Radiographic Image Enhancement Monte Carlo Method
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Deep learning-based combination of [18F]-FDG PET and CT images for producing pulmonary perfusion image.

Medical physics Jun 30, 2023
BACKGROUND: The main application of [18F] FDG-PET ( FDG-PET) and CT images in oncology is tumor identification and quantification. Combining PET and CT images to mine pulmonary perfusion information for functional lung avoidance radiation therapy (FL...
Image Processing, Computer-Assisted Lung Fluorodeoxyglucose F18 Perfusion Humans Deep Learning Tomography, X-Ray Computed
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Virtual pretreatment patient-specific quality assurance of volumetric modulated arc therapy using deep learning.

Medical physics Jun 28, 2023
BACKGROUND: Automatic patient-specific quality assurance (PSQA) is recently explored using artificial intelligence approaches, and several studies reported the development of machine learning models for predicting the gamma pass rate (GPR) index only...
Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Artificial Intelligence Machine Learning Radiotherapy, Intensity-Modulated Deep Learning
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Deep learning framework to improve the quality of cone-beam computed tomography for radiotherapy scenarios.

Medical physics Jun 22, 2023
BACKGROUND: The application of cone-beam computed tomography (CBCT) in image-guided radiotherapy and adaptive radiotherapy remains limited due to its poor image quality.
Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Humans Deep Learning Cone-Beam Computed Tomography
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Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography.

Medical physics Jun 13, 2023
BACKGROUND: Invasive coronary angiography (ICA) is a primary imaging modality that visualizes the lumen area of coronary arteries for diagnosis and interventional guidance. In the current practice of quantitative coronary analysis (QCA), semi-automat...
Image Processing, Computer-Assisted Coronary Angiography Humans Deep Learning Coronary Vessels Heart
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