Evaluation of MRI-based synthetic CT for lumbar degenerative disease: a comparison with CT [PDF]
Scientific ReportsPatients with lumbar degenerative disease typically undergo preoperative MRI combined with CT scans, but this approach introduces additional ionizing radiation and examination costs.
Ziwei Jiang +5 more
doaj +4 more sources
3D FusionNet for synthetic CT based lung cancer segmentation [PDF]
Scientific ReportsInterpretation of three-dimensional medical scans continues to be a demanding task in computer-assisted diagnostic systems. In this study we present a segmentation framework specifically designed for lung CT images.
Chiranjib Parida +4 more
doaj +5 more sources
Synthetic MRI Generation from CT Scans for Stroke Patients
BioMedInformatics, 2023 CT scans are currently the most common imaging modality used for suspected stroke patients due to their short acquisition time and wide availability. However, MRI offers superior tissue contrast and image quality.
Jake McNaughton +5 more
doaj +2 more sources
Improved synthetic CT generation using surface scan information integrated into a deformable registration algorithm for limited Field of View data [PDF]
Physics and Imaging in Radiation OncologyBackground and purpose: Cone-Beam Computed Tomography (CBCT) based synthetic CT is being increasingly used for post-delivery dose computation or adaptive workflows in radiotherapy.
Joachim Marichal +7 more
doaj +2 more sources
Synthetic CT generation from cone-beam CT using deep learning for head-and-neck adaptive radiotherapy [PDF]
Physics and Imaging in Radiation OncologyBackground and purpose: Synthetic computed tomography generation from cone-beam computed tomography enables adaptive radiotherapy on conventional linear accelerators, but its clinical implementation is limited.
Marcos M. Sánchez +14 more
doaj +2 more sources
Dosimetric evaluations using cycle-consistent generative adversarial network synthetic CT for MR-guided adaptive radiation therapy [PDF]
Frontiers in OncologyBackgroundMagnetic resonance (MR) guided radiation therapy combines high-resolution image capabilities of MRI with the precise targeting of radiation therapy.
Gabriel L. Asher +17 more
doaj +2 more sources
Facilitating MR-Guided Adaptive Proton Therapy in Children Using Deep Learning-Based Synthetic CT [PDF]
International Journal of Particle Therapy, 2021 Purpose: To determine whether self-attention cycle-generative adversarial networks (cycle-GANs), a novel deep-learning method, can generate accurate synthetic computed tomography (sCT) to facilitate adaptive proton therapy in children with brain tumors ...
Chuang Wang, PhD +4 more
doaj +1 more source
Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy
Journal of Radiation Research and Applied Sciences, 2022 We investigated the feasibility of the generation of synthetic CT (sCT) from CBCT images with deep learning and the dose evaluation for CBCT-guided breast cancer adaptive radiotherapy.A total of sixty-eight patients receiving radiotherapy after breast ...
Xuetao Wang +11 more
doaj +1 more source
Frontiers in Physiology, 2023 Introduction: Explosive power is considered an important factor in competitive events. Thus, strategies such as complex training (CT) and plyometric training (PLT) are effective at improving explosive power.
Xiaolin Wang +4 more
doaj +1 more source
Frontiers in Biomedical Technologies, 2023 Background: Magnetic Resonance Imaging (MRI) applications offer superior soft tissue contrast compared with computed tomography (CT) for accurate radiotherapy planning.
Niloofar Yousefi Moteghaed +2 more
doaj +1 more source