Results 41 to 50 of about 788,763 (307)

A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions [PDF]

open access: yesarXiv, 2021
In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruction. Then, we propose a new weighting function to deal with the redundant projection data.
arxiv  

Awareness of dental students towards CBCT: A cross sectional study

open access: yesJournal of Indian Academy of Oral Medicine and Radiology, 2020
Background: Cone-beam computed tomography (CBCT) is a new technology, in which two-dimensional detectors and conical beam are used instead of fan shaped beam in conventional computed CT.
Sivesh Sangar, Jayanth Kumar Vadivel
doaj   +1 more source

CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours

open access: yesScientific Data, 2022
Measurement(s) Image Segmentation • Stomach • Duodenum • Small Intestine Technology Type(s) Computed Tomography • Kilovoltage Cone Beam Computed Tomography • Manual Factor Type(s) Treatment planning dose Sample Characteristic - Organism Homo ...
Jun Hong   +10 more
doaj   +1 more source

Assessment of Radiodensity at Mandibular Periapical Bone Sites using Three-Dimensional Cone-Beam Computed Tomography

open access: yeseJournal of Oral Maxillofacial Research, 2023
Objectives: The aims of this retrospective study were to objectively assess bone density values obtained by cone-beam computed tomography and to map the periapical and inter-radicular regions of the mandibular bone.
Samir Goyushov   +2 more
doaj   +1 more source

Prevalence and anatomical variations of maxillary sinus septa : a cone-beam computed tomography analysis [PDF]

open access: yes, 2022
Detailed understanding the anatomy and variations of maxillary sinus septa is necessary. We aimed to investigate prevalence and various anatomical variations of maxillary sinus septa using cone-beam computed tomography (CBCT) images.
Abesi, Farida   +4 more
core   +1 more source

Anatomy of the root canal system of the mandible teeth according to cone-beam computed tomography

open access: yesЭндодонтия Today, 2019
The article presents information on root canal anatomy for the mandibular teeth among the residents of the Moscow region obtained by cone-beam computed tomography.
S. N. Razumova   +5 more
doaj   +1 more source

Accuracy and Feasibility of Synthetic CT for Lung Adaptive Radiotherapy: A Phantom Study

open access: yesTechnology in Cancer Research & Treatment, 2023
Objectives The respiratory variations will lead to inconsistency between the actual delivery dose and the planning dose. How the minor interfractional amplitude changes affect the geometry and dose delivery accuracy remains to be investigated in the ...
Ruifeng Zhao PhD   +2 more
doaj   +1 more source

Failure of Cone-Beam Computed Tomography in Detection of Fiber Post Perforation [PDF]

open access: yes, 2017
Detection of iatrogenic root perforation during post-space preparation especially in labiolingual plane can be challenging due to the two-dimensional nature of conventional radiography; this can be even more challenging if the cemented post is ...
Asgary, Saeed, Fazlyab, Mahta
core   +2 more sources

Cone beam computed tomography (CBCT) in pediatric dentistry [PDF]

open access: yes, 2022
Objective: The aims of this systematic review of the literature were to investigate the uses of cone beam computed tomography (CBCT) in pediatric dentistry and, if possible, identify the indications.
Olszewski, Raphael, Theys, Stéphanie
core   +2 more sources

Synthesizing 3D computed tomography from MRI or CBCT using 2.5D deep neural networks [PDF]

open access: yesarXiv, 2023
Deep learning techniques, particularly convolutional neural networks (CNNs), have gained traction for synthetic computed tomography (sCT) generation from Magnetic resonance imaging (MRI), Cone-beam computed tomography (CBCT) and PET. In this report, we introduce a method to syn-thesize CT from MRI or CBCT. Our method is based on multi-slice (2.5D) CNNs.
arxiv  

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