AIMC Topic: Phantoms, Imaging

Clear Filters Showing 751 to 760 of 786 articles

A two-dimensional feasibility study of deep learning-based feature detection and characterization directly from CT sinograms.

Medical physics Dec 1, 2019
Machine Learning, especially deep learning, has been used in typical x-ray computed tomography (CT) applications, including image reconstruction, image enhancement, image domain feature detection and image domain feature characterization. To our know...
Humans Feasibility Studies Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI

Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms.

Journal of biomedical optics Dec 1, 2019
Corneal thickness (CoT) is an important tool in the evaluation process for several disorders and in the assessment of intraocular pressure. We present a method enabling high-precision measurement of CoT based on secondary speckle tracking and process...
Young Adult Adult Algorithms Aged Image Interpretation, Computer-Assisted Phantoms, Imaging Corneal Pachymetry Cornea Middle Aged Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

Reconstruct the Photoacoustic Image Based On Deep Learning with Multi-frequency Ring-shape Transducer Array.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Photoacoustic tomography (PAT) combines the superiorities of both optical imaging and ultrasound imaging, which provides rich optical absorption contrast with 3D spatial information by applying reconstruction algorithms. Classical reconstruction algo...
Photoacoustic Techniques Transducers Algorithms Ultrasonography Phantoms, Imaging Deep Learning
View on PubMed DOI

Shoulder-mounted Robot for MRI-Guided Arthrography: Clinically Optimized System.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
This paper introduces our compact and lightweight patient-mounted MRI-compatible 4 degree-of-freedom (DOF) robot with an improved transmission system for MRI-guided arthrography procedures. This robot could make the traditional two-stage arthrography...
Humans Magnetic Resonance Imaging Phantoms, Imaging Arthrography Robotics Shoulder
View on PubMed DOI

Worm-Like Soft Robot for Complicated Tubular Environments.

Soft robotics Jun 1, 2019
This article describes a worm-like soft robot capable of operating in complicated tubular environments, such as the complex pipeline with different diameters, water, oil, and gas environments, or the clinical application in natural orifice translumin...
Phantoms, Imaging Models, Biological Locomotion Robotics Equipment Design
View on PubMed DOI

Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Machine Learning Algorithms Image Processing, Computer-Assisted Least-Squares Analysis Tomography, X-Ray Computed Radiation Dosage Phantoms, Imaging
View on PubMed DOI

Reduced iteration image reconstruction of incomplete projection CT using regularization strategy through Lp norm dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: For sparse and limited angle projection Computed Tomography (CT), the reconstructed image usually suffers from considerable artifacts due to undersampled data.
Tomography, X-Ray Computed Image Processing, Computer-Assisted Signal-To-Noise Ratio Phantoms, Imaging Artifacts Machine Learning Algorithms
View on PubMed DOI

Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging.

Journal of biomedical optics Dec 1, 2018
Fast estimation of optical properties from reflectance measurements at two spatial frequencies could pave way for real-time, wide-field and quantitative mapping of vital signs of tissues. We present a machine learning-based approach for estimating op...
Optical Imaging Phantoms, Imaging Hand Monte Carlo Method Machine Learning Algorithms Image Processing, Computer-Assisted Humans
View on PubMed DOI

Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging.

Optics letters Nov 15, 2018
Spatial frequency domain imaging (SFDI) is emerging as an important new method in biomedical imaging due to its ability to provide label-free, wide-field tissue optical property maps. Most prior SFDI studies have utilized two spatial frequencies (2-f...
Image Processing, Computer-Assisted Optical Imaging Machine Learning Phantoms, Imaging
View on PubMed DOI

[Accuracy analysis of robotic assistant needle placement for lateral skull base biopsy].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Aug 9, 2018
To evaluate the accuracy and feasibility of a custom robot system guided by navigation for lateral skull base tumor biopsy. Two cadaver heads were used, with iopamidol injected into different areas in the skull base and infratemporal region to imit...
Skull Base Feasibility Studies Cadaver Biopsy, Needle Phantoms, Imaging Image-Guided Biopsy Cone-Beam Computed Tomography Robotics Humans Software
View on PubMed DOI
Popular Topics
Recent Journals