AIMC Topic: Phantoms, Imaging

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Flow driven robotic navigation of microengineered endovascular probes.

Nature communications Dec 22, 2020
Minimally invasive medical procedures, such as endovascular catheterization, have considerably reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain inaccessible due...
Rheology Endovascular Procedures Translational Research, Biomedical Microfluidics Ear Catheters Phantoms, Imaging Animals Robotics Rabbits Magnetic Phenomena Equipment Design Computer Simulation Temperature Humans
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Deep learning algorithms for brain disease detection with magnetic induction tomography.

Medical physics Dec 18, 2020
PURPOSE: In order to improve the reconstruction accuracy of magnetic induction tomography (MIT) and achieve fast imaging especially in the detection of cerebral hemorrhage, artificial intelligence algorithms are proposed to improve the accuracy of MI...
Magnetic Phenomena Brain Diseases Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Tomography Humans Algorithms Brain Artificial Intelligence
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Dictionary learning based image-domain material decomposition for spectral CT.

Physics in medicine and biology Dec 5, 2020
The potential huge advantage of spectral computed tomography (CT) is that it can provide accurate material identification and quantitative tissue information by material decomposition. However, material decomposition is a typical inverse problem, whe...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Phantoms, Imaging Machine Learning
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Sparse-view CT reconstruction based on multi-level wavelet convolution neural network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Dec 3, 2020
Sparse-view computed tomography (CT) is a recent approach to reducing the radiation dose in patients and speeding up the data acquisition. Consequently, sparse-view CT has been of particular interest among researchers within the CT community. Advance...
Humans Neural Networks, Computer Phantoms, Imaging Image Processing, Computer-Assisted Artifacts Algorithms Tomography, X-Ray Computed
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Adaptive Ultrasound Beamforming Using Deep Learning.

IEEE transactions on medical imaging Nov 30, 2020
Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal across many applications, spanning from magnetic resonance imaging to ...
Signal Processing, Computer-Assisted Phantoms, Imaging Ultrasonography Image Processing, Computer-Assisted Deep Learning
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Detection and Localization of Ultrasound Scatterers Using Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 30, 2020
Delay-and-sum (DAS) beamforming is unable to identify individual scatterers when their density is so high that their point spread functions overlap. This paper proposes a convolutional neural network (CNN)-based method to detect and localize high-den...
Ultrasonography Microbubbles Neural Networks, Computer Phantoms, Imaging
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Ultrasound transmission tomography image reconstruction with a fully convolutional neural network.

Physics in medicine and biology Nov 27, 2020
Image reconstruction of ultrasound computed tomography based on the wave equation is able to show much more structural details than simpler ray-based image reconstruction methods. However, to invert the wave-based forward model is computationally dem...
Tomography Ultrasonic Waves Neural Networks, Computer Phantoms, Imaging Image Processing, Computer-Assisted
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Deep learning-based inverse mapping for fluence map prediction.

Physics in medicine and biology Nov 27, 2020
We developed a fluence map prediction method that directly generates fluence maps for a given desired dose distribution without optimization for volumetric modulated arc therapy (VMAT) planning. The prediction consists of two steps. First, projection...
Phantoms, Imaging Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Humans Male Radiotherapy Planning, Computer-Assisted
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A Deep Learning Approach to Resolve Aliasing Artifacts in Ultrasound Color Flow Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Despite being used clinically as a noninvasive flow visualization tool, color flow imaging (CFI) is known to be prone to aliasing artifacts that arise due to fast blood flow beyond the detectable limit. From a visualization standpoint, these aliasing...
Ultrasonography, Doppler, Color Artifacts Humans Deep Learning Carotid Arteries Image Processing, Computer-Assisted Phantoms, Imaging
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Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel Data.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Single plane wave transmissions are promising for automated imaging tasks requiring high ultrasound frame rates over an extended field of view. However, a single plane wave insonification typically produces suboptimal image quality. To address this l...
Phantoms, Imaging Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Algorithms Breast Female Ultrasonography Humans
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