Results 1 to 10 of about 457,471 (160)

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

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

Towards MR contrast independent synthetic CT generation

Zeitschrift für Medizinische Physik
The use of synthetic CT (sCT) in the radiotherapy workflow would reduce costs and scan time while removing the uncertainties around working with both MR and CT modalities.
Attila Simkó, Mikael Bylund, Gustav Jönsson, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson   +6 more
doaj   +4 more sources

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, Wanwei Jian, Bailin Zhang, Lin Zhu, Qiang He, Huaizhi Jin, Geng Yang, Chunya Cai, Haoyu Meng, Xiang Tan, Fei Li, Zhenhui Dai   +11 more
doaj   +2 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, Satyabrata Roy, Ankur Pandey   +4 more
doaj   +2 more sources

Generation of Synthetic-Pseudo MR Images from Real CT Images

Tomography, 2022
This study aimed to generate synthetic MR images from real CT images. CT# mean and standard deviation of a moving window across every pixel in the reconstructed CT images were mapped to their corresponding tissue-mimicking types.
Isam F. Abu-Qasmieh, Ihssan S. Masad, Hiam H. Al-Quran, Khaled Z. Alawneh   +3 more
doaj   +3 more sources

Comparison of Supervised and Unsupervised Approaches for the Generation of Synthetic CT from Cone-Beam CT [PDF]

Diagnostics, 2021
Due to major artifacts and uncalibrated Hounsfield units (HU), cone-beam computed tomography (CBCT) cannot be used readily for diagnostics and therapy planning purposes.
Matteo Rossi, Pietro Cerveri
doaj   +4 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

Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT

Frontiers in Oncology, 2023
ObjectiveTo develop a contrast learning-based generative (CLG) model for the generation of high-quality synthetic computed tomography (sCT) from low-quality cone-beam CT (CBCT). The CLG model improves the performance of deformable image registration (DIR)
Na Li, Na Li, Na Li, Xuanru Zhou, Xuanru Zhou, Shupeng Chen, Jingjing Dai, Tangsheng Wang, Chulong Zhang, Wenfeng He, Yaoqin Xie, Xiaokun Liang   +11 more
doaj   +3 more sources

Synthetic CT in Carbon Ion Radiotherapy of the Abdominal Site

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   +4 more sources