AIMC Topic: Phantoms, Imaging

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Beamforming and Speckle Reduction Using Neural Networks.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Mar 8, 2019
With traditional beamforming methods, ultrasound B-mode images contain speckle noise caused by the random interference of subresolution scatterers. In this paper, we present a framework for using neural networks to beamform ultrasound channel signals...
Signal Processing, Computer-Assisted Supervised Machine Learning Phantoms, Imaging Middle Aged Ultrasonography Female Liver Neoplasms Aged Image Processing, Computer-Assisted Male Kidney Humans Liver Neural Networks, Computer Algorithms
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Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.

Medical physics Mar 4, 2019
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation,...
Humans Machine Learning Algorithms Radiotherapy Dosage Phantoms, Imaging Electrical Equipment and Supplies Particle Accelerators Neoplasms Quality Assurance, Health Care Automation
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Training improvements for ultrasound beamforming with deep neural networks.

Physics in medicine and biology Feb 18, 2019
This paper investigates practical considerations of training ultrasound deep neural network (DNN) beamformers. First, we studied training DNNs using the combination of multiple point target responses instead of single point target responses. Next, we...
Humans Ultrasonography Image Processing, Computer-Assisted Phantoms, Imaging Adult Male Deep Learning
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Simulation-based deep artifact correction with Convolutional Neural Networks for limited angle artifacts.

Zeitschrift fur medizinische Physik Feb 14, 2019
Non-conventional scan trajectories for interventional three-dimensional imaging promise low-dose interventions and a better radiation protection to the personnel. Circular tomosynthesis (cTS) scan trajectories yield an anisotropical image quality dis...
Artifacts Phantoms, Imaging Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans
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Robotic laser osteotomy through penscriptive structured light visual servoing.

International journal of computer assisted radiology and surgery Feb 7, 2019
PURPOSE: Planning osteotomies is a task that surgeons do as part of standard surgical workflow. This task, however, becomes more difficult and less intuitive when a robot is tasked with performing the osteotomy. In this study, we aim to provide a new...
Laser Therapy Skull Humans Craniotomy Phantoms, Imaging Robotics Robotic Surgical Procedures Osteotomy
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Gain determination of feedback force for an ultrasound scanning robot using genetic algorithm.

International journal of computer assisted radiology and surgery Feb 1, 2019
PURPOSE: The remote medical diagnosis system (RMDS) is for providing medical diagnosis to the patients located in remote sites. To apply to RMDS and medical automation, many master-slave type ultrasound scanning robots are being developed and researc...
Mechanical Phenomena Feedback, Sensory Robotics Equipment Design Phantoms, Imaging Female Adult Male Thyroid Gland Time Factors Ultrasonography Humans Algorithms
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Robust Single-Shot T Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network.

IEEE transactions on medical imaging Jan 31, 2019
Quantitative magnetic resonance imaging (MRI) is of great value to both clinical diagnosis and scientific research. However, most MRI experiments remain qualitative, especially dynamic MRI, because repeated sampling with variable weighting parameter ...
Magnetic Resonance Imaging Artifacts Phantoms, Imaging Computer Simulation Humans Deep Learning Algorithms Image Processing, Computer-Assisted Brain
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Optimization based trajectory planning for real-time 6DoF robotic patient motion compensation systems.

PloS one Jan 11, 2019
PURPOSE: Robotic stabilization of a therapeutic radiation beam with respect to a dynamically moving tumor target can be accomplished either by moving the radiation source, the patient, or both. As the treatment beam is on during this process, the pri...
Patient Positioning Phantoms, Imaging Head Movements Humans Motion Robotics Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Computer Simulation Radiosurgery Robotic Surgical Procedures Male Computer Systems
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Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Jan 9, 2019
OBJECTIVE: Deep learning has recently been applied to electrical impedance tomography (EIT) imaging. Nevertheless, there are still many challenges that this approach has to face, e.g., targets with sharp corners or edges cannot be well recovered when...
Humans Lung Deep Learning Image Processing, Computer-Assisted Heart Electric Impedance Phantoms, Imaging Tomography
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Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.

Journal of visualized experiments : JoVE Jan 7, 2019
With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system can be employed to assist the acquisition of real-time ultrasound. However, limited numbers of robots designed for extra-corporeal ultrasound have been...
Equipment Design Phantoms, Imaging Humans Computer-Aided Design Ultrasonography Reproducibility of Results Robotics Biomechanical Phenomena
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