AIMC Topic: Thermometry

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Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet.

Scientific reports Apr 6, 2025
Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously heated to temperatures between 39 and 43 °C for 60 min. Temperature monit...
Humans Thermometry Hyperthermia Magnetic Resonance Imaging Hyperthermia, Induced Artifacts Fourier Analysis Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Neoplasms
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Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment.

Ultrasonics Feb 1, 2022
Temperature monitoring in ultrasound (US) imaging is important for various medical treatments, such as high-intensity focused US (HIFU) therapy or hyperthermia. In this work, we present a deep learning based approach to temperature monitoring based o...
Swine Deep Learning Animals Thermometry High-Intensity Focused Ultrasound Ablation In Vitro Techniques Transducers
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CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning-based reconstruction.

European radiology Jul 29, 2021
OBJECTIVES: The aim of this study was to evaluate the sensitivity of CT-based thermometry for clinical applications regarding a three-component tissue phantom of fat, muscle and bone. Virtual monoenergetic images (VMI) by dual-energy measurements and...
Thermometry Deep Learning Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Muscles Retrospective Studies Tomography, X-Ray Computed Humans Algorithms
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
Machine Learning Male Infant Adolescent Humans Blood Pressure Longitudinal Studies Heart Rate Child, Preschool Models, Statistical Child Optical Imaging Shock, Cardiogenic Thermometry
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Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.

Biomedical engineering online Jun 6, 2015
BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators of cognitive health status and their assessment is a measure of independence in everyday living. ADL are difficult to reliably assess using questionna...
Thermometry Neuropsychological Tests Wireless Technology Adult Infrared Rays Supervised Machine Learning Female Male Bayes Theorem Healthy Volunteers Activities of Daily Living Aged Middle Aged Accelerometry Circadian Rhythm Sleep Humans Medical Records Decision Trees Algorithms
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CirnetamorNet: An ultrasonic temperature measurement network for microwave hyperthermia based on deep learning.

SLAS technology Jun 1, 2025
OBJECTIVE: Microwave thermotherapy is a promising approach for cancer treatment, but accurate noninvasive temperature monitoring remains challenging. This study aims to achieve accurate temperature prediction during microwave thermotherapy by efficie...
Humans Neural Networks, Computer Temperature Deep Learning Hyperthermia, Induced Microwaves Thermometry
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