AIMC Topic: Scattering, Radiation

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Automated spectral decomposition and reconstruction of optical properties using a mixed autoencoder approach.

Journal of biomedical optics Apr 9, 2025
SIGNIFICANCE: Investigating optical properties (OPs) is crucial in the field of biophotonics, as it has a broad impact on understanding light-tissue interactions. However, current techniques, such as inverse Monte Carlo simulations (IMCS), have limit...
Autoencoder Optical Imaging Scattering, Radiation Neural Networks, Computer Algorithms Phospholipids Monte Carlo Method Image Processing, Computer-Assisted
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Light scattering imaging modal expansion cytometry for label-free single-cell analysis with deep learning.

Computer methods and programs in biomedicine Mar 15, 2025
BACKGROUND AND OBJECTIVE: Single-cell imaging plays a key role in various fields, including drug development, disease diagnosis, and personalized medicine. To obtain multi-modal information from a single-cell image, especially for label-free cells, t...
Female Uterine Cervical Neoplasms Deep Learning Humans Algorithms Image Processing, Computer-Assisted Cell Line, Tumor Light Single-Cell Analysis Scattering, Radiation
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Adaptive Vectorial Restoration from Dynamic Speckle Patterns Through Biological Scattering Media Based on Deep Learning.

Sensors (Basel, Switzerland) Mar 14, 2025
Imaging technologies based on vector optical fields hold significant potential in the biomedical field, particularly for non-invasive scattering imaging of anisotropic biological tissues. However, the dynamic and anisotropic nature of biological tiss...
Image Processing, Computer-Assisted Scattering, Radiation Anisotropy Algorithms Deep Learning Humans Neural Networks, Computer
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Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.

European journal of nuclear medicine and molecular imaging Feb 7, 2025
OBJECTIVE: Long-axial field-of-view (LAFOV) positron emission tomography (PET) systems allow higher sensitivity, with an increased number of detected lines of response induced by a larger angle of acceptance. However this extended angle increases the...
Humans Deep Learning Monte Carlo Method Scattering, Radiation Phantoms, Imaging Image Processing, Computer-Assisted Positron-Emission Tomography
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A dual-domain network with division residual connection and feature fusion for CBCT scatter correction.

Physics in medicine and biology Feb 7, 2025
This study aims to propose a dual-domain network that not only reduces scatter artifacts but also retains structure details in cone-beam computed tomography (CBCT).The proposed network comprises a projection-domain sub-network and an image-domain sub...
Image Processing, Computer-Assisted Artifacts Scattering, Radiation Neural Networks, Computer Cone-Beam Computed Tomography
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Toward Resolving Heterogeneous Mixtures of Nanocarriers in Drug Delivery Systems through Light Scattering and Machine Learning.

ACS nano Jan 8, 2025
Nanocarriers (NCs) have emerged as a revolutionary approach in targeted drug delivery, promising to enhance drug efficacy and reduce toxicity through precise targeting and controlled release mechanisms. Despite their potential, the clinical adoption ...
Scattering, Radiation Light Doxorubicin Machine Learning Drug Delivery Systems Particle Size Drug Carriers Nanoparticles
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Rapid in vivo EPID image prediction using a combination of analytically calculated attenuation and AI predicted scatter.

Medical physics Nov 28, 2024
BACKGROUND: The electronic portal imaging device (EPID) can be used in vivo, to detect on-treatment errors by evaluating radiation exiting a patient. To detect deviations from the planning intent, image predictions need to be modeled based on the pat...
Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Electrical Equipment and Supplies Scattering, Radiation Deep Learning Time Factors Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imaging.

Physics in medicine and biology Nov 11, 2024
Deep learning (DL) is becoming increasingly important in generating attenuation maps for accurate attenuation correction (AC) in cardiac perfusion SPECT imaging. Typically, DL models take inputs from initial reconstructed SPECT images, which are perf...
Humans Heart Scattering, Radiation Single Photon Emission Computed Tomography Computed Tomography Deep Learning Image Processing, Computer-Assisted
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Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering.

Journal of biomedical optics Sep 6, 2024
SIGNIFICANCE: Hyperspectral cameras capture spectral information at each pixel in an image. Acquired spectra can be analyzed to estimate quantities of absorbing and scattering components, but the use of traditional fitting algorithms over megapixel i...
Deep Learning Melanins Humans Image Processing, Computer-Assisted Hemoglobins Neural Networks, Computer Monte Carlo Method Hyperspectral Imaging Algorithms Scattering, Radiation Fingers
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Convolutional neural network-based regression analysis to predict subnuclear chromatin organization from two-dimensional optical scattering signals.

Journal of biomedical optics Aug 28, 2024
SIGNIFICANCE: Azimuth-resolved optical scattering signals obtained from cell nuclei are sensitive to changes in their internal refractive index profile. These two-dimensional signals can therefore offer significant insights into chromatin organizatio...
Cell Nucleus Machine Learning Scattering, Radiation Humans Chromatin Algorithms Refractometry Neural Networks, Computer Regression Analysis
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