Results 241 to 250 of about 462,780 (278)

Synthetic Hounsfield units from spectral CT data

Physics in Medicine and Biology, 2012
Beam-hardening-free synthetic images with absolute CT numbers that radiologists are used to can be constructed from spectral CT data by forming 'dichromatic" images after basis decomposition. The CT numbers are accurate for all tissues and the method does not require additional reconstruction.
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Automated air region delineation on MRI for synthetic CT creation

Physics in Medicine & Biology, 2020
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, Ergun Ahunbay, Haidy Nasief, Xinfeng Chen, X Allen Li   +4 more
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Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy

Medical Imaging 2021: Image Processing, 2021
The inter-fraction motion management of pancreatic radiotherapy remains a challenge in current clinical practice. CBCT-based adaptive radiotherapy is an emerging technique for either offline or online plan adaptations. Accurately delineating tumor targets and organs-at-risk (OARs) is an important step in adaptive re-planning process; however, manual ...
Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang   +9 more
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Synthetization of high‐dose images using low‐dose CT scans

Medical Physics, 2023
AbstractBackgroundRadiation dose reduction has been the focus of many research activities in x‐ray CT. Various approaches were taken to minimize the dose to patients, ranging from the optimization of clinical protocols, refinement of the scanner hardware design, and development of advanced reconstruction algorithms.
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Synthetic ossicular replacements: normal and abnormal CT appearance.

Radiology, 1987
Twenty-two patients with synthetic ossicular replacements were studied with computed tomography (CT). Twelve patients had total ossicular replacement prostheses (TORPs), and ten patients had partial ossicular replacement prostheses (PORPs). Good results were achieved in 12 patients (eight with TORPs and four with PORPs).
J D, Swartz, A S, Berger, S, Zwillenberg, D W, Granoff, G L, Popky   +4 more
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Synthetic dual energy CT imaging from single energy CT using deep attention neural network

Medical Imaging 2021: Physics of Medical Imaging, 2021
This work presents a learning-based method to synthesize dual energy CT (DECT) images from conventional single energy CT (SECT). The proposed method uses a residual attention generative adversarial network. Residual blocks with attention gates were used to force the model to focus on the difference between DECT maps and SECT images.
Tonghe Wang, Serdar Charyyev, Yang Lei, Beth Ghavidel, Jonathan J. Beitler, Mark McDonald, Walter J. Curran, Jun Zhou, Tian Liu, Xiaofeng Yang   +9 more
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Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT?

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Synthetic x-ray computed tomography (CT) images derived from magnetic resonance imaging (MRI) is a recent area of focus for medical imaging researchers for applications in attenuation correction in simultaneous PET/MRI systems and MRI-guided radiotherapy planning.
Andrew P. Leynes, Peder E. Z. Larson
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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, Rongli Ran, Liang Wu, Jianfeng Qiu   +3 more
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mDixon-Based Synthetic CT Generation via Patch Learning

2020
We proposed a new method for generating synthetic CT on abdomen from modified Dixon (mDixon) MR data of abdomens to address the challenges of PET/MR attenuation correction (AC). AC is necessary in process of PET/MR but MR data lack photon attenuation, thus multiple methods are proposed to generate synthetic CT.
Xin Song, Jiamin Zheng, Chao Fan, Hongbin Yu   +3 more
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Improving synthetic CT generation with enhanced registration

ISMRM Annual Meeting
Motivation: Synthetic CT (sCT) generation from MRI can provide mineralized tissue data without ionizing radiation. Voxel to voxel correspondence between MRI and CT for supervised training is one of the challenges in the generation of sCT. Goal(s): This study aims to evaluate the impact of registration techniques on sCT bone generation quality. Approach:
Paul Margain, Stefan Sommer, Veronica Ravano, Adham Elwakil, Tom Hilbert, Charbel Mourad, Julien Favre, Patrick Omoumi   +7 more
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