Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Temperature Measurement Sites01:14

Temperature Measurement Sites

2.1K
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...
2.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Augmented reality in liver surgery.

Journal of visceral surgery·2023
Same author

Model-Based Thermometry for Laser Ablation Procedure Using Kalman Filters and Sparse Temperature Measurements.

IEEE transactions on bio-medical engineering·2022
Same author

Laser ablation in biliary tree: analysis of the intraductal and superficial thermal effects during the treatment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Hyperspectral imaging for thermal effect monitoring in in vivo liver during laser ablation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Polymer-coated fiber optic probe for the monitoring of breathing pattern and respiratory rate.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2018
Same author

Wearable textile based on silver plated knitted sensor for respiratory rate monitoring.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2018

Related Experiment Video

Updated: Aug 29, 2025

Continuous-wave Thulium Laser for Heating Cultured Cells to Investigate Cellular Thermal Effects
09:49

Continuous-wave Thulium Laser for Heating Cultured Cells to Investigate Cellular Thermal Effects

Published on: June 30, 2017

7.9K

Unscented Kalman Filtering for Real Time Thermometry During Laser Ablation Interventions.

M A Soltani-Sarvestani, S Cotin, P Saccomandi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    This study introduces a Bayesian framework using the Unscented Kalman Filter (UKF) for real-time monitoring during laser ablation cancer therapy. The UKF predicts thermal status for improved treatment control with limited temperature data.

    More Related Videos

    Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
    08:52

    Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

    Published on: April 30, 2018

    8.3K
    Focal Laser Ablation of Prostate Cancer: An Office Procedure
    11:07

    Focal Laser Ablation of Prostate Cancer: An Office Procedure

    Published on: March 30, 2021

    7.9K

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    Continuous-wave Thulium Laser for Heating Cultured Cells to Investigate Cellular Thermal Effects
    09:49

    Continuous-wave Thulium Laser for Heating Cultured Cells to Investigate Cellular Thermal Effects

    Published on: June 30, 2017

    7.9K
    Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
    08:52

    Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

    Published on: April 30, 2018

    8.3K
    Focal Laser Ablation of Prostate Cancer: An Office Procedure
    11:07

    Focal Laser Ablation of Prostate Cancer: An Office Procedure

    Published on: March 30, 2021

    7.9K

    Area of Science:

    • Biomedical Engineering
    • Computational Biology
    • Oncology

    Background:

    • Laser ablation is a minimally invasive technique for tumor treatment.
    • Accurate temperature monitoring is crucial for effective and safe laser ablation.
    • Real-time prediction of thermal effects is challenging due to limited sensor data.

    Purpose of the Study:

    • To develop and evaluate a data-assimilation Bayesian framework for laser ablation cancer therapy.
    • To assess the performance of the Unscented Kalman Filter (UKF) in predicting tissue temperature.
    • To analyze the impact of filter settings on the framework's predictive capabilities.

    Main Methods:

    • Implementation of a data-assimilation Bayesian framework.
    • Utilizing the Unscented Kalman Filter (UKF) for nonlinear estimation of tissue temperature.
    • Analysis of UKF performance based on varying time resolution, number, and location of temperature observations.

    Main Results:

    • The UKF-based prediction model demonstrates effectiveness in estimating tissue temperature during laser ablation.
    • Framework performance is influenced by the time resolution of the filter.
    • The number and location of temperature observations significantly affect prediction accuracy.

    Conclusions:

    • A data-assimilation Bayesian framework with UKF can effectively monitor and predict thermal effects in real-time during laser therapy.
    • Optimizing filter settings is essential for enhancing the accuracy and reliability of thermal monitoring.
    • This approach holds clinical relevance for improving tumor treatment outcomes.