Results 61 to 70 of about 5,344,290 (172)
Radiobiological studies with monoenergetic neutrons [PDF]
The Radiological Research Accelerator Facility (RARAF) has the capability of producing essentially monoenergetic neutron beams, ranging in energy from 16.4 MeV down to 220 keV.
Rossi, H. H. +4 more
core +1 more source
Objectives To assess the feasibility and image quality of a bolus tracking protocol with dual-flow mixture for contrast medium volume and radiation dose reduction in dual-energy CT pulmonary angiography (CTPA).
Mingjue Jian +11 more
doaj +1 more source
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) offers potential as an advanced imaging technique for image‐guided radiation therapy (IGRT) through the production of virtual monoenergetic images (VMI). CBCT‐VMI can show enhanced image quality, with improved CNR and reduced nonuniformity artifacts, compared to polychromatic images.
Andrew Keeler +6 more
wiley +1 more source
Advances in the diagnosis of abdominal disease based on virtual monoenergetic imaging and iodine map of spectral CT [PDF]
Computed tomography (CT) is one of the most commonly used examination methods in clinical practice, but its resolution for soft-tissue is not high enough, making it difficult to detect and identify some lesions, and it is insufficient in quantitative ...
ZHANG Tianyi, YAN Fuhua
doaj +1 more source
Abstract Purpose Modeling relative biological effectiveness (RBE) is central to carbon ion radiotherapy treatment planning. The modified Microdosimetric Kinetic Model (mMKM) is a clinically established RBE framework that has guided treatment protocols at many existing carbon centers, while the Mayo Clinic Florida Microdosimetric Kinetic Model (MCF MKM)
Shannon Hartzell +12 more
wiley +1 more source
Research Progress on Reducing Metal Artifacts in CT Imaging
Intracranial aneurysm embolization, oral metal implants, spinal internal fixation, hip replacement, and other metal implants are increasingly used in clinical practice. Metal artifacts generated by computed tomography (CT) images during the evaluation of
Danyang SU +5 more
doaj +1 more source
Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning
Abstract Since its development, virtual monoenergetic imaging (VMI) derived from dual-energy computed tomography (DECT) has been shown to be valuable in many clinical applications. However, DECT-based VMI showed increased noise at low keV levels. In this study, we proposed an unsupervised learning method to generate VMI from DECT.
Chi-Kuang, Liu +2 more
openaire +2 more sources
Spectral deep learning‐based patient and bowtie scatter correction for clinical photon‐counting CT
Abstract Background The presence of scatter in computed tomography degrades image quality, and can be caused by the patient and by other components in the beam path, such as the bowtie filter. While conventional energy‐integrating detectors do not provide spectral distinction, photon‐counting (PC) detectors are energy‐selective and provide spectral ...
Lukas Hennemann +6 more
wiley +1 more source
Abstract Background Multimaterial decomposition (MMD) in dual‐energy CT enables iodine quantification, critical for diagnostic applications. However, residual errors from noniodine materials in iodine maps limit accuracy, especially in complex thoracic regions and low‐dose settings.
Hamidreza Khodajou‐Chokami +2 more
wiley +1 more source
Conventional and spectral- CT for renal cell carcinoma thermal ablation: A case report
Dual-energy or spectral computed tomography (CT) information may be obtained by either sending X-ray beams of different energy spectra through the patient or by discriminating the energy of the X-rays that reach the detector.
Juna Musa, MD, MSc +6 more
doaj +1 more source

