TY - GEN
T1 - Two-dimensional temperature imaging using diagnostic ultrasound- Preliminary studies using phantom materials
AU - Dolui, Swapnil
AU - Khairalseed, Mawia
AU - Rivera Tarazona, Laura K.
AU - Ware, Taylor H.
AU - Hoyt, Kenneth
N1 - Funding Information:
This work was supported in part by NIH grants K25EB017222 and R21CA212851, Texas CPRIT award RP180670 and NSF grants 1752846 and 1663367.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Temperature monitoring plays an important role during thermal treatment of diseased tissue. Ultrasound (US) can be used to estimate the temperature and one common approach is based on the local detection of instantaneous frequency changes in reflected US signals along the axial beam direction. Herein we propose a novel US-based temperature estimation technique that improves on this established method by filtering the reflected US signals with Gaussian-weighted nth-order Hermite (GHn) polynomial functions. This filtering step helps isolate the US signal from tissue structures while minimizing presence of degrading signal components. In vitro experiments were conducted by slowly heating a series of tissue-mimicking phantom materials that were fabricated using hydrogels embedded with US scatterers. US data were collected using a programmable research scanner (Vantage 256, Verasonics Inc) equipped with an L11-4v linear array transducer and processed offline to extract local temperature estimates. Overall, our US-based temperature mapping technique exhibited improvement in measurement accuracy compared to the more US-based approach.
AB - Temperature monitoring plays an important role during thermal treatment of diseased tissue. Ultrasound (US) can be used to estimate the temperature and one common approach is based on the local detection of instantaneous frequency changes in reflected US signals along the axial beam direction. Herein we propose a novel US-based temperature estimation technique that improves on this established method by filtering the reflected US signals with Gaussian-weighted nth-order Hermite (GHn) polynomial functions. This filtering step helps isolate the US signal from tissue structures while minimizing presence of degrading signal components. In vitro experiments were conducted by slowly heating a series of tissue-mimicking phantom materials that were fabricated using hydrogels embedded with US scatterers. US data were collected using a programmable research scanner (Vantage 256, Verasonics Inc) equipped with an L11-4v linear array transducer and processed offline to extract local temperature estimates. Overall, our US-based temperature mapping technique exhibited improvement in measurement accuracy compared to the more US-based approach.
KW - Frequency estimation
KW - Phantom materials
KW - Temperature monitoring
KW - Ultrasound
UR - http://www.scopus.com/inward/record.url?scp=85073914805&partnerID=8YFLogxK
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U2 - 10.1109/ISBI.2019.8759299
DO - 10.1109/ISBI.2019.8759299
M3 - Conference contribution
AN - SCOPUS:85073914805
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1721
EP - 1724
BT - ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
Y2 - 8 April 2019 through 11 April 2019
ER -