Acoustic Waveform Optimization for Improved Mild Hyperthermia in Cancer Therapy

Mild hyperthermia (MHTh) is a procedure that involves mildly (≤ 6°C) heating a tumor to enhance the efficacy of standard-of-care cancer treatments such as chemotherapy and radiation therapy. Generating MHTh with ultrasound (US) has seen increased use in the clinic because it is noninvasive and relatively low-cost. However, current US-MHTh systems face significant challenges including difficulty in generating uniform and localized MHTh in large target volumes (i.e., tumors), especially in deep heterogeneous tissues. In this study, we use a ring array US transducer to generate acoustic fields in large arbitrarily shaped targets by optimizing the transmission radiofrequency (RF) waveforms that drive ring array transducer elements. We present a novel methodology based on an inverse wave propagation model to generate the arbitrary pressure fields that account for tissue acoustic properties, depth, and the shape of the tumor. In silico and in vitro studies validated the efficacy of the methodology to generate arbitrary pressure fields and subsequently extend them as periodic transmissions to generate MHTh. These results demonstrate the feasibility of using a ring array US transducer with the proposed waveform optimization to enable more uniform and localized MHTh generation in arbitrary shaped targets in deep heterogenous tissues.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/uffc-js60046.2024.10793660
Citations
1
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acoustic Waveform Optimization for Improved Mild Hyperthermia in Cancer Therapy

David Bustamante, Yan Yan, Mohammad Mehrmohammadi, Nebojsa Duric
1 citations
Ultrasound and Hyperthermia Applications
0.18
article

Acoustic Waveform Optimization for Improved Mild Hyperthermia in Cancer Therapy

David Bustamante, Yan Yan, Mohammad Mehrmohammadi, Nebojsa Duric
article en
1 citations

Abstract

Mild hyperthermia (MHTh) is a procedure that involves mildly (≤ 6°C) heating a tumor to enhance the efficacy of standard-of-care cancer treatments such as chemotherapy and radiation therapy. Generating MHTh with ultrasound (US) has seen increased use in the clinic because it is noninvasive and relatively low-cost. However, current US-MHTh systems face significant challenges including difficulty in generating uniform and localized MHTh in large target volumes (i.e., tumors), especially in deep heterogeneous tissues. In this study, we use a ring array US transducer to generate acoustic fields in large arbitrarily shaped targets by optimizing the transmission radiofrequency (RF) waveforms that drive ring array transducer elements. We present a novel methodology based on an inverse wave propagation model to generate the arbitrary pressure fields that account for tissue acoustic properties, depth, and the shape of the tumor. In silico and in vitro studies validated the efficacy of the methodology to generate arbitrary pressure fields and subsequently extend them as periodic transmissions to generate MHTh. These results demonstrate the feasibility of using a ring array US transducer with the proposed waveform optimization to enable more uniform and localized MHTh generation in arbitrary shaped targets in deep heterogenous tissues.

University of Rochester Medical Center (US), University of Rochester (US)
Good health and well-being
Openalex Percentile: Top 50%
Ultrasound and Hyperthermia Applications
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.