Liu Z, Du Y, Meng X, Li C, Zhou L. Temperature Monitoring During Microwave Hyperthermia Based on BP-Nakagami Distribution.
J Ultrasound Med 2023;
42:1965-1975. [PMID:
36880695 DOI:
10.1002/jum.16213]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/15/2023] [Accepted: 02/18/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE
The purpose of this study is to accurately monitor temperature during microwave hyperthermia. We propose a temperature estimation model BP-Nakagami based on neural network for Nakagami distribution.
METHODS
In this work, we designed the microwave hyperthermia experiment of fresh ex vivo pork tissue and phantom, collected ultrasonic backscatter data at different temperatures, modeled these data using Nakagami distribution, and calculated Nakagami distribution parameter m. A neural network model was built to train the relationship between Nakagami distribution parameter m and temperature, and a BP-Nakagami temperature model with good fitting was obtained. The temperature model is used to draw the two-dimensional temperature distribution map of biological tissues in microwave hyperthermia. Finally, the temperature estimated by the model is compared with the temperature measured by thermocouples.
RESULTS
The error between the temperature estimated by the temperature model and the temperature measured by the thermocouple is within 1°C in the range of 25°C-50°C for ex vivo pork tissue, and the error between the temperature estimated by the temperature model and the temperature measured by the thermocouple is within 0.5°C in the range of 25°C-50°C for phantom.
CONCLUSIONS
The results show that the temperature estimation model proposed by us is an effective model for monitoring the internal temperature change of biological tissues.
Collapse