AIMC Topic: Scattering, Radiation

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A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.

Physics in medicine and biology Jul 13, 2020
The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produces a contaminating photon fluence that is registered by the detector. Scattered photons cause artifacts in the image reconstruction, and are partially...
Humans Neural Networks, Computer Cone-Beam Computed Tomography Signal-To-Noise Ratio Monte Carlo Method Scattering, Radiation Phantoms, Imaging Image Processing, Computer-Assisted Head and Neck Neoplasms Artifacts
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3-D H-Scan Ultrasound Imaging and Use of a Convolutional Neural Network for Scatterer Size Estimation.

Ultrasound in medicine & biology Jul 9, 2020
H-Scan ultrasound (US) is a new imaging technology that estimates the relative size of acoustic scattering objects and structures. The purpose of this study was to introduce a three-dimensional (3-D) H-scan US imaging approach for scatterer size esti...
Imaging, Three-Dimensional Scattering, Radiation Phantoms, Imaging Neural Networks, Computer Ultrasonography
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An Artificial Neural Network Assisted Dynamic Light Scattering Procedure for Assessing Living Cells Size in Suspension.

Sensors (Basel, Switzerland) Jun 17, 2020
Dynamic light scattering (DLS) is an essential technique used for assessing the size of the particles in suspension, covering the range from nanometers to microns. Although it has been very well established for quite some time, improvement can still ...
Saccharomyces cerevisiae Scattering, Radiation Neural Networks, Computer Suspensions Particle Size Cell Size Light Dynamic Light Scattering
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High quality proton portal imaging using deep learning for proton radiation therapy: a phantom study.

Biomedical physics & engineering express Apr 27, 2020
Purpose; For shoot-through proton treatments, like FLASH radiotherapy, there will be protons exiting the patient which can be used for proton portal imaging (PPI), revealing valuable information for the validation of tumor location in the beam's-eye-...
Algorithms Computer Simulation Reproducibility of Results Humans Neural Networks, Computer Nonlinear Dynamics Signal-To-Noise Ratio Radiotherapy Scattering, Radiation Neoplasms Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Proton Therapy Protons
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A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system.

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) Mar 2, 2020
PURPOSE: EPID dosimetry in the Unity MR-Linac system allows for reconstruction of absolute dose distributions within the patient geometry. Dose reconstruction is accurate for the parts of the beam arriving at the EPID through the MRI central unattenu...
Radiometry Magnetic Resonance Imaging Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Scattering, Radiation Phantoms, Imaging Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data.

Scientific reports Jul 19, 2019
Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing technique that can differentiate healthy and non-healthy tissues by exploiting their dielectric properties. In this paper, a microwave apparatus for bre...
Algorithms Scattering, Radiation Female Microwave Imaging Breast Neoplasms Clinical Trials as Topic Statistics, Nonparametric Mammography Humans ROC Curve Dielectric Spectroscopy Neural Networks, Computer Equipment Design Support Vector Machine Ultrasonography, Mammary Magnetic Resonance Imaging Breast
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Two-Dimensional Light Scattering Anisotropy Cytometry for Label-Free Classification of Ovarian Cancer Cells via Machine Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Jul 16, 2019
We develop a single-mode fiber-based cytometer for the obtaining of two-dimensional (2D) light scattering patterns from static single cells. Anisotropy of the 2D light scattering patterns of single cells from ovarian cancer and normal cell lines is i...
Machine Learning Female Support Vector Machine Scattering, Radiation Microfluidic Analytical Techniques Humans Ovarian Neoplasms Anisotropy Flow Cytometry
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Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN).

Physics in medicine and biology Jul 11, 2019
Scatter correction is an essential technique to improve the image quality of cone-beam CT (CBCT). Although different scatter correction methods have been proposed in the literature, a standard solution is still being studied due to the limitations in...
Phantoms, Imaging Artifacts Cone-Beam Computed Tomography Humans Scattering, Radiation Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction.

Nature methods Jul 8, 2019
Deep learning is becoming an increasingly important tool for image reconstruction in fluorescence microscopy. We review state-of-the-art applications such as image restoration and super-resolution imaging, and discuss how the latest deep learning res...
Image Processing, Computer-Assisted Humans Microscopy, Fluorescence Deep Learning Scattering, Radiation
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Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.

International journal of computer assisted radiology and surgery Jun 11, 2019
PURPOSE: Machine learning-based approaches now outperform competing methods in most disciplines relevant to diagnostic radiology. Image-guided procedures, however, have not yet benefited substantially from the advent of deep learning, in particular b...
Models, Anatomic Imaging, Three-Dimensional Image Processing, Computer-Assisted Cadaver Algorithms Fluoroscopy Humans Scattering, Radiation Computer Simulation Neural Networks, Computer X-Rays Tomography, X-Ray Computed Machine Learning
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