AIMC Journal:
Medical physics

Showing 191 to 200 of 732 articles

Accelerated submillimeter wave-encoded magnetic resonance imaging via deep untrained neural network.

Medical physics Apr 19, 2023
BACKGROUND: Wave gradient encoding can adequately utilize coil sensitivity profiles to facilitate higher accelerations in parallel magnetic resonance imaging (pMRI). However, there are limitations in mainstream pMRI and a few deep learning (DL) metho...
Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain Humans Neural Networks, Computer Motion
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Self-supervised structural similarity-based convolutional neural network for cardiac diffusion tensor image denoising.

Medical physics Apr 17, 2023
BACKGROUND: Diffusion tensor imaging (DTI) is a promising technique for non-invasively investigating the myocardial fiber structures of human heart. However, low signal-to-noise ratio (SNR) has been a major limit of cardiac DTI to prevent us from det...
Heart Humans Signal-To-Noise Ratio Neural Networks, Computer Diffusion Tensor Imaging Algorithms Image Processing, Computer-Assisted
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Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.

Medical physics Apr 17, 2023
BACKGROUND: Using radiation therapy (RT) to treat head and neck (H&N) cancers requires precise targeting of the tumor to avoid damaging the surrounding healthy organs. Immobilisation masks and planning target volume margins are used to attempt to mit...
Radiography Image Processing, Computer-Assisted Head and Neck Neoplasms Retrospective Studies Tomography, X-Ray Computed Humans Deep Learning
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Pie-Net: Prior-information-enabled deep learning noise reduction for coronary CT angiography acquired with a photon counting detector CT.

Medical physics Apr 11, 2023
BACKGROUND: Photon-counting-detector CT (PCD-CT) enables the production of virtual monoenergetic images (VMIs) at a high spatial resolution (HR) via simultaneous acquisition of multi-energy data. However, noise levels in these HR VMIs are markedly in...
Coronary Angiography Phantoms, Imaging Humans Tomography, X-Ray Computed Computed Tomography Angiography Deep Learning
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Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses.

Medical physics Apr 10, 2023
BACKGROUND: Early detection of solid pancreatic masses through contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) is important. But CH-EUS is difficult to learn.
Humans Retrospective Studies Deep Learning Pancreatic Neoplasms Endosonography Pancreas
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Convolutional neural network-based model observer for signal known statistically task in breast tomosynthesis images.

Medical physics Apr 9, 2023
BACKGROUND: Since human observer studies are resource-intensive, mathematical model observers are frequently used to assess task-based image quality. The most common implementation of these model observers assume that the signal information is exactl...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Observer Variation Models, Theoretical Breast
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Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI.

Medical physics Apr 6, 2023
BACKGROUND: Stereotactic body radiation therapy (SBRT) produces excellent local control for patients with hepatocellular carcinoma (HCC). However, the risk of toxicity for normal liver tissue is still a limiting factor. Normal tissue complication pro...
Radiosurgery Probability Radiotherapy Dosage Humans Liver Neoplasms Carcinoma, Hepatocellular Deep Learning
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Fully-automated detection of small bowel carcinoid tumors in CT scans using deep learning.

Medical physics Apr 5, 2023
BACKGROUND: Small bowel carcinoid tumor is a rare neoplasm and increasing in incidence. Patients with small bowel carcinoid tumors often experience long delays in diagnosis due to the vague symptoms, slow growth of tumors, and lack of clinician aware...
Carcinoid Tumor Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Intestinal Neoplasms Humans
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Dose reduction and image enhancement in micro-CT using deep learning.

Medical physics Apr 5, 2023
BACKGROUND: In preclinical settings, micro-computed tomography (CT) provides a powerful tool to acquire high resolution anatomical images of rodents and offers the advantage to in vivo non-invasively assess disease progression and therapy efficacy. M...
Drug Tapering Algorithms Signal-To-Noise Ratio Animals Humans X-Ray Microtomography Deep Learning Image Processing, Computer-Assisted Mice Image Enhancement
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Report on the AAPM deep-learning spectral CT Grand Challenge.

Medical physics Apr 1, 2023
BACKGROUND: This Special Report summarizes the 2022 AAPM Grand Challenge on Deep-Learning spectral Computed Tomography (DL-spectral CT) image reconstruction.
Humans Algorithms Phantoms, Imaging Deep Learning Tomography, X-Ray Computed X-Rays Image Processing, Computer-Assisted
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