AIMC Topic: Lutetium

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Prediction of Lesion-Based Treatment Response after Two Cycles of Lu-177 Prostate Specific Membrane Antigen Treatment in Metastatic Castration-Resistant Prostate Cancer Using Machine Learning.

Urologia internationalis Sep 30, 2024
INTRODUCTION: Lutetium-177 (Lu-177) prostate-specific membrane antigen (PSMA) therapy is a radionuclide treatment that prolongs overall survival in metastatic castration-resistant prostate cancer (MCRPC). We aimed to predict lesion-based treatment re...
Radiopharmaceuticals Neoplasm Metastasis Prostatic Neoplasms, Castration-Resistant Treatment Outcome Positron Emission Tomography Computed Tomography Gallium Radioisotopes Glutamate Carboxypeptidase II Lutetium Radioisotopes Antigens, Surface Retrospective Studies Aged Male Middle Aged Aged, 80 and over Humans Machine Learning
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Precise positioning of gamma ray interactions in multiplexed pixelated scintillators using artificial neural networks.

Biomedical physics & engineering express Jun 5, 2024
. The positioning ofray interactions in positron emission tomography (PET) detectors is commonly made through the evaluation of the Anger logic flood histograms. machine learning techniques, leveraging features extracted from signal waveform, have de...
Gamma Rays Lutetium Scintillation Counting Cerium Silicon Neural Networks, Computer Equipment Design Positron-Emission Tomography Algorithms
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A Deep-Learning-Based Partial-Volume Correction Method for Quantitative Lu SPECT/CT Imaging.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jun 3, 2024
With the development of new radiopharmaceutical therapies, quantitative SPECT/CT has progressively emerged as a crucial tool for dosimetry. One major obstacle of SPECT is its poor resolution, which results in blurring of the activity distribution. Es...
Image Processing, Computer-Assisted Monte Carlo Method Radioisotopes Humans Deep Learning Lutetium Phantoms, Imaging Single Photon Emission Computed Tomography Computed Tomography
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Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.

European journal of nuclear medicine and molecular imaging Jul 19, 2022
PURPOSE: Attenuation correction is a critically important step in data correction in positron emission tomography (PET) image formation. The current standard method involves conversion of Hounsfield units from a computed tomography (CT) image to cons...
Background Radiation Positron-Emission Tomography Fluorodeoxyglucose F18 Lutetium Humans Magnetic Resonance Imaging Water Radiopharmaceuticals Image Processing, Computer-Assisted Deep Learning
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Deep-Learning Generation of Synthetic Intermediate Projections Improves Lu SPECT Images Reconstructed with Sparsely Acquired Projections.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Aug 28, 2020
The aims of this study were to decrease the Lu-SPECT acquisition time by reducing the number of projections and to circumvent image degradation by adding deep-learning-generated synthesized projections. We constructed a deep convolutional U-net-shap...
Deep Learning Time Factors Radioisotopes Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Lutetium Humans
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A deep learning approach to radiation dose estimation.

Physics in medicine and biology Feb 4, 2020
Currently methods for predicting absorbed dose after administering a radiopharmaceutical are rather crude in daily clinical practice. Most importantly, individual tissue density distributions as well as local variations of the concentration of the ra...
Glutamate Carboxypeptidase II Lutetium Tomography, X-Ray Computed Radioisotopes Reproducibility of Results Humans Tissue Distribution Neoplasms Organs at Risk Neural Networks, Computer Radiation Dosage Deep Learning Algorithms Monte Carlo Method Radiopharmaceuticals
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GTM-Based QSAR Models and Their Applicability Domains.

Molecular informatics Feb 3, 2015
In this paper we demonstrate that Generative Topographic Mapping (GTM), a machine learning method traditionally used for data visualisation, can be efficiently applied to QSAR modelling using probability distribution functions (PDF) computed in the l...
Databases, Chemical Models, Chemical Humans Thrombin Gadolinium Lutetium Calcium Machine Learning
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Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Positron Emission Tomography (PET) is among the most commonly used medical imaging modalities in clinical practice, especially for oncological applications. In contrast to conventional imaging modalities like X-ray Computed Tomography (CT) or Magneti...
Lutetium Yttrium Positron-Emission Tomography Deep Learning Monte Carlo Method
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