Results 241 to 250 of about 1,906,510 (288)

Synthetic CT in Musculoskeletal Disorders

Investigative Radiology, 2022
Abstract Repeated computed tomography (CT) examinations increase patients' ionizing radiation exposure and health costs, making an alternative method desirable. Cortical and trabecular bone, however, have short T2 relaxation times, causing low signal intensity on conventional magnetic resonance (MR) sequences.
Alecio F, Lombardi   +6 more
openaire   +2 more sources

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020
In this study, we propose a synthetic CT (sCT) aided MRI-CT deformable image registration for head and neck radiotherapy. An image synthesis network, cycle consistent generative adversarial network (CycleGAN), was first trained using 25 pre-aligned CT-MRI image pairs.
Yabo Fu   +8 more
openaire   +1 more source

Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020
We propose a hybrid deep learning-based method, which includes a cycle consistent generative adversarial network (CycleGAN) and deep attention fully convolution network implemented by a U-Net (DAUnet), to perform volumetric multi-organ segmentation for pelvic computed tomography (CT).
Yang Lei 0002   +8 more
openaire   +2 more sources

Synthetic CT Assessment of Lesions in Children With Rare Musculoskeletal Diseases

Pediatrics, 2023
Imaging modalities such as computed tomography (CT) are critical for monitoring musculoskeletal abnormalities in children with rare diseases. However, CT exposes patients to radiation, which limits its utility in the clinical setting, particularly during longitudinal evaluation.
Jaymin, Upadhyay   +3 more
openaire   +2 more sources

UTE‐mDixon‐based thorax synthetic CT generation

Medical Physics, 2019
PurposeAccurate photon attenuation assessment from MR data remains an unmet challenge in the thorax due to tissue heterogeneity and the difficulty of MR lung imaging. As thoracic tissues encompass the whole physiologic range of photon absorption, large errors can occur when using, for example, a uniform, water‐equivalent or a soft‐tissue‐only ...
Kuan-Hao, Su   +16 more
openaire   +2 more sources

Multimodal synthetic CT generation in tumor radiotherapy

Medical Physics
Abstract Background The use of MRI‐guided radiation therapy (MRIgRT) has shown considerable advantages. However, the acquisition of electron density information still relies on Computed tomography (CT) images.
Xue, Li   +3 more
openaire   +2 more sources

Automated air region delineation on MRI for synthetic CT creation

Physics in Medicine & Biology, 2020
Abstract Automatically and accurately separating air from other low signal regions (especially bone, liver, etc) in an MRI is difficult because these tissues produce similar MR intensities, resulting in errors in synthetic CT generation for MRI-based radiation therapy planning.
Ranjeeta Thapa   +4 more
openaire   +2 more sources

Synthetic CT generation based on CBCT using respath‐cycleGAN

Medical Physics, 2022
AbstractPurposeCone‐beam computed tomography (CBCT) plays an important role in radiotherapy, but the presence of a large number of artifacts limits its application. The purpose of this study was to use respath‐cycleGAN to synthesize CT (sCT) similar to planning CT (pCT) from CBCT for future clinical practice.MethodsThe method integrates the respath ...
Liwei, Deng   +4 more
openaire   +2 more sources

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