AIMC Journal:
Medical physics

Showing 691 to 700 of 759 articles

Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.

Medical physics Apr 17, 2017
PURPOSE: It is very important for calculation of clinical indices and diagnosis to detect thyroid nodules from ultrasound images. However, this task is a challenge mainly due to heterogeneous thyroid nodules with distinct components are similar to ba...
Neural Networks, Computer Ultrasonography Humans Probability Thyroid Nodule ROC Curve
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MR-based synthetic CT generation using a deep convolutional neural network method.

Medical physics Mar 21, 2017
PURPOSE: Interests have been rapidly growing in the field of radiotherapy to replace CT with magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and the desire to reduce unnecessary radiation dose. MR-only radiothera...
Time Factors Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Imaging, Three-Dimensional Breast Neoplasms Magnetic Resonance Imaging Neural Networks, Computer
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Feasibility of robotic stereotactic body radiotherapy of lung tumors with kilovoltage x-ray beams.

Medical physics Mar 21, 2017
PURPOSE: Robotic Stereotactic body radiation therapy (SBRT) for lung tumors is treatment modality that, for cases of inoperable lung tumors, has shown excellent treatment outcomes. The typical photon energy when delivering this type of treatments is ...
X-Rays Feasibility Studies Radiosurgery Monte Carlo Method Phantoms, Imaging Humans Lung Neoplasms Robotics Female Male
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Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys.

Medical physics Feb 21, 2017
PURPOSE: Respiratory motion prediction using an artificial neural network (ANN) was integrated with pseudocontinuous arterial spin labeling (pCASL) MRI to allow free-breathing perfusion measurements in the kidney. In this study, we evaluated the perf...
Humans Respiration Young Adult Spin Labels Magnetic Resonance Imaging Adult Movement Neural Networks, Computer Motion Diaphragm Male Female Lung Kidney
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A novel dose calculation system implemented in image domain.

Medical physics Jun 1, 2025
PURPOSE: Modern intensity-modulated radiotherapy, aiming to deliver an accurate dose to the planning target volume while protecting the surrounding organs at risk, is regarded as the indispensable treatment for cancer in the clinic. An accurate and e...
Radiotherapy, Intensity-Modulated Radiation Dosage Radiotherapy Dosage Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Deep Learning Humans
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A simulated annealing-based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset.

Medical physics Jun 1, 2025
BACKGROUND: Bayesian networks are seeing increased usage in healthcare, particularly for modeling complex treatment decisions under uncertainty. Bayesian networks offer significant advantages over classical machine learning and deep learning techniqu...
Humans Uterine Cervical Neoplasms Prospective Studies Bayes Theorem Female Morbidity
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Generation of synthetic CT from MRI for MRI-based attenuation correction of brain PET images using radiomics and machine learning.

Medical physics Jun 1, 2025
BACKGROUND: Accurate quantitative PET imaging in neurological studies requires proper attenuation correction. MRI-guided attenuation correction in PET/MRI remains challenging owing to the lack of direct relationship between MRI intensities and linear...
Positron-Emission Tomography Female Image Processing, Computer-Assisted Radiomics Brain Humans Magnetic Resonance Imaging Adult Male Tomography, X-Ray Computed Machine Learning
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Inference-specific learning for improved medical image segmentation.

Medical physics May 12, 2025
BACKGROUND: Deep learning networks map input data to output predictions by fitting network parameters using training data. However, applying a trained network to new, unseen inference data resembles an interpolation process, which may lead to inaccur...
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Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET: A simulation study.

Medical physics May 8, 2025
BACKGROUND: Cardiac perfusion PET is commonly used to assess ischemia and cardiovascular risk, which enables quantitative measurements of myocardial blood flow (MBF) through kinetic modeling. However, the estimation of kinetic parameters is challengi...
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Computer-aided detection and diagnosis/radiomics/machine learning/deep learning in medical imaging.

Medical physics Jun 1, 2023
Machine Learning Computers Diagnostic Imaging Deep Learning Radiography
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