Results 131 to 140 of about 804,721 (400)

An evaluation of mesiodentes: A retrospective study with cone-beam computed tomography [PDF]

open access: yes, 2018
Background: The mesiodens, located in the palatal midline between the two maxillary central incisors, is the most common type of supernumerary tooth. The aim of this study was to evaluate the distribution of mesiodentes according to shape, position, and ...
Akay, Gülsün   +2 more
core   +2 more sources

Evaluating the use of diagnostic CT with flattening filter free beams for palliative radiotherapy: Dosimetric impact of scanner calibration variability

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut   +2 more
wiley   +1 more source

Severe infolding of fenestrated-branched endovascular stent graft

open access: yesJournal of Vascular Surgery Cases and Innovative Techniques, 2018
Infolding of a fenestrated-branched stent graft is an infrequent complication due to excessive oversizing. We report the case of an 89-year-old man who underwent a four-vessel fenestrated-branched endovascular aortic repair for a pararenal aortic ...
Aleem K. Mirza, MD   +4 more
doaj  

Concrescence: Cone-Beam Computed Tomography Imaging Perspective

open access: yesCase Reports in Dentistry, 2016
Concrescence is a form of twinning, formed by the confluence of cementum of two teeth at the root level. The diagnosis of concrescence has largely relied on the conventional 2D imaging.
Ali Zakir Syed   +3 more
doaj   +1 more source

Efficient quantum state tomography with auxiliary Hilbert space [PDF]

open access: yesarXiv, 2019
Quantum state tomography is an important tool for quantum communication, computation, metrology, and simulation. Efficient quantum state tomography on a high dimensional quantum system is still a challenging problem. Here, we propose a novel quantum state tomography method, auxiliary Hilbert space tomography, to avoid pre-rotations before measurement ...
arxiv  

A systematic review on incidental findings in cone-beam computed tomography (CBCT) Scans.

open access: yesDento maxillo facial radiology, 2019
OBJECTIVES Cone-beam computed tomography's use (CBCT) in dentistry is increasing. Incidental findings (IFs: discoveries unrelated to the original purpose of the scan), are frequently found as a result of a large field of view.
Sandy Dief   +3 more
semanticscholar   +1 more source

Cone beam computed tomography and intraoral radiography for diagnosis of dental abnormalities in dogs and cats [PDF]

open access: yes, 2011
The development of veterinary dentistry has substantially improved the ability to diagnose canine and feline dental abnormalities. Consequently, examinations previously performed only on humans are now available for small animals, thus improving the ...
Alessandro L. Januário   +32 more
core   +2 more sources

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal   +9 more
wiley   +1 more source

Three-dimensional position changes of unopposed molars before implant rehabilitation: a short-term retrospective cohort analysis

open access: yesBMC Oral Health, 2022
Objective To investigate the spatial changes of unopposed molars within the period between the antagonist extraction and the final implant restoration using data from cone beam computed tomography.
Anqi Wang   +6 more
doaj   +1 more source

Automatic Intracranial Brain Segmentation from Computed Tomography Head Images [PDF]

open access: yesarXiv, 2019
Fast and automatic algorithm to segment Brain (intracranial region) from computed tomography (CT) head images using combination of HU thresholding, identification of intracranial voxels through ray intersection with cranium, special binary erosion and connected components per slice.
arxiv  

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