Results 1 to 10 of about 462,780 (278)

Evaluation of MRI-based synthetic CT for lumbar degenerative disease: a comparison with CT [PDF]

Scientific Reports
Patients with lumbar degenerative disease typically undergo preoperative MRI combined with CT scans, but this approach introduces additional ionizing radiation and examination costs.
Ziwei Jiang, Yuhang Zhu, Wei Wang, Zongbao Li, Yunxi Li, Mengchao Zhang   +5 more
doaj   +3 more sources

Synthetic CT in Carbon Ion Radiotherapy of the Abdominal Site [PDF]

Bioengineering, 2023
The generation of synthetic CT for carbon ion radiotherapy (CIRT) applications is challenging, since high accuracy is required in treatment planning and delivery, especially in an anatomical site as complex as the abdomen.
Giovanni Parrella, Alessandro Vai, Anestis Nakas, Noemi Garau, Giorgia Meschini, Francesca Camagni, Silvia Molinelli, Amelia Barcellini, Andrea Pella, Mario Ciocca, Viviana Vitolo, Ester Orlandi, Chiara Paganelli, Guido Baroni   +13 more
doaj   +5 more sources

MRI AI Use Case: Synthetic CT Images for Fracture Evaluation

Journal of the Belgian Society of Radiology, 2022
Teaching Point: Synthetic CT images can improve evaluation of bony lesions on MRI and show potential for fracture evaluation, but validation is needed.
Thiebault Saveyn, Lennart Jans, Frederiek Laloo   +2 more
doaj   +4 more sources

3D FusionNet for synthetic CT based lung cancer segmentation [PDF]

Scientific Reports
Interpretation 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, Saurabh Bilgaiyan, Santwana Sagnika, Sayabrata Roy, Ankur Pandey   +4 more
doaj   +2 more sources

Dosimetric evaluations using cycle-consistent generative adversarial network synthetic CT for MR-guided adaptive radiation therapy [PDF]

Frontiers in Oncology
BackgroundMagnetic resonance (MR) guided radiation therapy combines high-resolution image capabilities of MRI with the precise targeting of radiation therapy.
Gabriel L. Asher, Shiru Wang, Bassem I. Zaki, Bassem I. Zaki, Gregory A. Russo, Gregory A. Russo, Gobind S. Gill, Charles R. Thomas, Charles R. Thomas, Temiloluwa O. Prioleau, Yuting Li, Rongxiao Zhang, Rongxiao Zhang, Yue Yan, Yue Yan, Yue Yan, Brady Hunt, Brady Hunt   +17 more
doaj   +2 more sources

Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT [PDF]

Scientific Reports
This work aims to investigate the clinical feasibility of deep learning-based synthetic CT images for cervix cancer, comparing them to MR for calculating attenuation (MRCAT).
Hojin Kim, Sang Kyun Yoo, Jin Sung Kim, Yong Tae Kim, Jai Wo Lee, Changhwan Kim, Chae-Seon Hong, Ho Lee, Min Cheol Han, Dong Wook Kim, Se Young Kim, Tae Min Kim, Woo Hyoung Kim, Jayoung Kong, Yong Bae Kim   +14 more
doaj   +2 more sources

Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets [PDF]

Radiation Oncology
Background and purpose To investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in multi-center datasets using generative adversarial networks (GANs) for rectal cancer MR-only radiotherapy ...
Xianan Li, Lecheng Jia, Fengyu Lin, Fan Chai, Tao Liu, Wei Zhang, Ziquan Wei, Weiqi Xiong, Hua Li, Min Zhang, Yi Wang   +10 more
doaj   +2 more sources

Detailed assessment of axial and peripheral entheses and joints in axial spondyloarthritis and psoriatic arthritis patients treated with ixekizumab (DAPHNE): design of a 2-year phase IV trial applying whole-body MRI, MRI-based synthetic CT, and CT [PDF]

BMC Rheumatology
Background Ixekizumab, an interleukin 17A inhibitor, has demonstrated efficacy in improving clinical and patient-reported outcomes in axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA).
Simone Tromborg Willesen, Jakob Møllenbach Møller, Susanne Juhl Pedersen, Mikkel Østergaard   +3 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, Jinsoo Uh, PhD, Thomas E. Merchant, DO, PhD, Chia-ho Hua, PhD, Sahaja Acharya, MD   +4 more
doaj   +1 more source

Conversion from MRI to CT Using AI for Fractures

Journal of the Belgian Society of Radiology, 2021
Synthetic CT images reconstructed from MR images is an upcoming artificial intelligence (AI) tool for radiologists. It has been validated for detection of erosions at the sacroiliac joints and validation for other applications is ongoing – with high ...
Frederiek Laloo, Lennart Jans
doaj   +1 more source