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Related Concept Videos

Temperature Measurement Sites01:14

Temperature Measurement Sites

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A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
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Assessing Body Temperature - Temporal Artery01:19

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Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
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Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

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Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...
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Ultrasound Image Temperature Monitoring Based on a Temporal-Informed Neural Network.

Yuxiang Han1, Yongxing Du1, Limin He2

  • 1School of Digital and Intelligence Industry, Inner Mongolia University of Science & Technology, Baotou 014000, China.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
Summary

This study introduces a novel temporal-informed neural network for precise temperature monitoring during microwave hyperthermia (MH). The model accurately estimates tissue temperature in real-time, improving treatment safety and efficacy.

Keywords:
microwave hyperthermianeural networksnon-invasive temperature monitoringultrasound

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Accurate real-time temperature monitoring is crucial for effective and safe microwave hyperthermia (MH) treatments.
  • Current methods face challenges in precisely determining target region temperatures within biological tissues during MH.
  • Understanding tissue response as a spatio-temporal evolution is key to improving monitoring accuracy.

Purpose of the Study:

  • To develop and validate a novel temporal-informed neural network for real-time temperature estimation during MH.
  • To assess the model's accuracy and potential for clinical application in non-destructive temperature monitoring.
  • To leverage ultrasound imaging data and advanced AI techniques for enhanced MH temperature assessment.

Main Methods:

  • A temporal-informed neural network, utilizing TimesNet and Cloblock, was developed to analyze spatio-temporal tissue responses from ultrasound images.
  • MH experiments were conducted on 30 phantoms and 10 ex vivo pork tissue samples.
  • The model assimilated ultrasound temporal data to refine temperature estimation accuracy.

Main Results:

  • The neural network achieved low root mean squared errors: approximately 0.886 °C for ex vivo pork tissue and 0.419 °C for phantoms (25-65 °C range).
  • The model demonstrated high temperature-estimation accuracy, approaching clinical standards.
  • The network's modest parameter count suggests suitability for deployment on mobile ultrasound devices.

Conclusions:

  • The proposed temporal-informed neural network offers a promising solution for accurate, real-time temperature monitoring during MH.
  • This AI-driven approach enhances MH treatment efficacy and patient safety through precise, non-destructive temperature assessment.
  • The model's efficiency and accuracy pave the way for integration into clinical ultrasound devices for improved hyperthermia treatments.