AIMC Topic: Cone-Beam Computed Tomography

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Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis.

Physics in medicine and biology Apr 1, 2022
4D-CBCT provides phase-resolved images valuable for radiomics analysis for outcome prediction throughout treatment courses. However, 4D-CBCT suffers from streak artifacts caused by under-sampling, which severely degrades the accuracy of radiomic feat...
Humans Deep Learning Phantoms, Imaging Four-Dimensional Computed Tomography Spiral Cone-Beam Computed Tomography Cone-Beam Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms
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Dosimetric assessment of patient dose calculation on a deep learning-based synthesized computed tomography image for adaptive radiotherapy.

Journal of applied clinical medical physics Mar 25, 2022
PURPOSE: Dose computation using cone beam computed tomography (CBCT) images is inaccurate for the purpose of adaptive treatment planning. The main goal of this study is to assess the dosimetric accuracy of synthetic computed tomography (CT)-based cal...
Humans Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Tomography, X-Ray Computed Deep Learning Cone-Beam Computed Tomography
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Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy.

Frontiers in public health Mar 22, 2022
PURPOSE: The purpose of this study was to evaluate the accuracy of a lung stereotactic body radiotherapy (SBRT) treatment plan with the target of a newly predicted internal target volume (ITV) and the feasibility of its clinical application. ITV was ...
Lung Neoplasms Lung Radiotherapy Planning, Computer-Assisted Humans Radiosurgery Deep Learning Radiotherapy Dosage Retrospective Studies Four-Dimensional Computed Tomography Cone-Beam Computed Tomography
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Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

Journal of periodontology Mar 16, 2022
BACKGROUND: Immediate implant placement in the esthetic area requires comprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-driven measurements of quantitative indexes depend on segmentation or landmark dete...
Esthetics, Dental Cone-Beam Computed Tomography Image Processing, Computer-Assisted Tooth Root Neural Networks, Computer Artificial Intelligence
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Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network.

Medical physics Mar 14, 2022
PURPOSE: Image guidance is used to improve the accuracy of radiation therapy delivery but results in increased dose to patients. This is of particular concern in children who need be treated per Pediatric Image Gently Protocols due to long-term risks...
Cone-Beam Computed Tomography Retrospective Studies Humans Radiotherapy Planning, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Head and Neck Neoplasms Child
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Updates in Endovascular Procedural Navigation.

The Canadian journal of cardiology Feb 28, 2022
There have been significant advancements in endovascular technology over the past decade. Increasingly complex disease processes are being addressed in a less invasive fashion, while still relying on standard 2-dimensional greyscale fluoroscopy imagi...
Endovascular Procedures Imaging, Three-Dimensional Fluoroscopy Humans Artificial Intelligence Cone-Beam Computed Tomography
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Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography.

Scientific reports Feb 14, 2022
Determining the exact positional relationship between mandibular third molar (M3) and inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography is the most common dental imaging test. The purposes of this study were t...
Female Aged Young Adult Adult Male Middle Aged Humans Clinical Decision-Making Tooth Extraction Mandible Deep Learning Data Accuracy Radiography, Panoramic Molar, Third Mandibular Nerve Injuries Mandibular Nerve Cone-Beam Computed Tomography
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Virtual monoenergetic micro-CT imaging in mice with artificial intelligence.

Scientific reports Feb 11, 2022
Micro cone-beam computed tomography (µCBCT) imaging is of utmost importance for carrying out extensive preclinical research in rodents. The imaging of animals is an essential step prior to preclinical precision irradiation, but also in the longitudin...
Artifacts Monte Carlo Method Phantoms, Imaging Image Processing, Computer-Assisted Mice Cadaver Animals Cone-Beam Computed Tomography Neural Networks, Computer Artificial Intelligence Retrospective Studies
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Automatic contouring of normal tissues with deep learning for preclinical radiation studies.

Physics in medicine and biology Feb 9, 2022
Delineation of relevant normal tissues is a bottleneck in image-guided precision radiotherapy workflows for small animals. A deep learning (DL) model for automatic contouring using standardized 3D micro cone-beam CT (CBCT) volumes as input is propose...
Radiotherapy Planning, Computer-Assisted Thorax Cone-Beam Computed Tomography Image Processing, Computer-Assisted Organs at Risk Animals Lung Deep Learning
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Novel-view X-ray projection synthesis through geometry-integrated deep learning.

Medical image analysis Jan 29, 2022
X-ray imaging is a widely used approach to view the internal structure of a subject for clinical diagnosis, image-guided interventions and decision-making. The X-ray projections acquired at different view angles provide complementary information of p...
Deep Learning Humans Cone-Beam Computed Tomography Algorithms Radiography Image Processing, Computer-Assisted Lung Phantoms, Imaging X-Rays
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