Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation
Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally invasive option for intervening in malignant brain tumors, commonly used in thermal ablation procedures. This technique is suitable for both primary and metastatic cancers, utilizing a high-frequency alternating electric field...
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creator | Zhao, Zhanyue Szewczyk, Benjamin Tarasek, Matthew Bales, Charles Wang, Yang Liu, Ming Jiang, Yiwei Bhushan, Chitresh Fiveland, Eric Campwala, Zahabiya Trowbridge, Rachel Johansen, Phillip M Olmsted, Zachary Ghoshal, Goutam Heffter, Tamas Gandomi, Katie Tavakkolmoghaddam, Farid Nycz, Christopher Jeannotte, Erin Mane, Shweta Nalwalk, Julia Burdette, E. Clif Qian, Jiang Yeo, Desmond Pilitsis, Julie Fischer, Gregory S |
description | Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally
invasive option for intervening in malignant brain tumors, commonly used in
thermal ablation procedures. This technique is suitable for both primary and
metastatic cancers, utilizing a high-frequency alternating electric field (up
to 10 MHz) to excite a piezoelectric transducer. The resulting rapid
deformation of the transducer produces an acoustic wave that propagates through
tissue, leading to localized high-temperature heating at the target tumor site
and inducing rapid cell death. To optimize the design of NBTU transducers for
thermal dose delivery during treatment, numerical modeling of the acoustic
pressure field generated by the deforming piezoelectric transducer is
frequently employed. The bioheat transfer process generated by the input
pressure field is used to track the thermal propagation of the applicator over
time. Magnetic resonance thermal imaging (MRTI) can be used to experimentally
validate these models. Validation results using MRTI demonstrated the
feasibility of this model, showing a consistent thermal propagation pattern.
However, a thermal damage isodose map is more advantageous for evaluating
therapeutic efficacy. To achieve a more accurate simulation based on the actual
brain tissue environment, a new finite element method (FEM) simulation with
enhanced damage evaluation capabilities was conducted. The results showed that
the highest temperature and ablated volume differed between experimental and
simulation results by 2.1884{\deg}C (3.71%) and 0.0631 cm$^3$ (5.74%),
respectively. The lowest Pearson correlation coefficient (PCC) for peak
temperature was 0.7117, and the lowest Dice coefficient for the ablated area
was 0.7021, indicating a good agreement in accuracy between simulation and
experiment. |
doi_str_mv | 10.48550/arxiv.2409.02395 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2409_02395</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2409_02395</sourcerecordid><originalsourceid>FETCH-arxiv_primary_2409_023953</originalsourceid><addsrcrecordid>eNqFjrsOgkAQAK-xMOoHWLk_IJ48EilVMDZ2aGJF1rDKJscdOU7EvxeJvdU0M8kIMV9LL9xEkVyh7bj1_FDGnvSDOBqLa0JUw84iazgrZ7ExT13A9qbQsdGQlWQrVJCYhuBkClKsH_BiV0JfXLg1kHY1Wa5Iu967oOJiSKdidEfV0OzHiVgc0mx_XA4Ted0naN_5dyYfZoL_xgdGmz_P</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation</title><source>arXiv.org</source><creator>Zhao, Zhanyue ; Szewczyk, Benjamin ; Tarasek, Matthew ; Bales, Charles ; Wang, Yang ; Liu, Ming ; Jiang, Yiwei ; Bhushan, Chitresh ; Fiveland, Eric ; Campwala, Zahabiya ; Trowbridge, Rachel ; Johansen, Phillip M ; Olmsted, Zachary ; Ghoshal, Goutam ; Heffter, Tamas ; Gandomi, Katie ; Tavakkolmoghaddam, Farid ; Nycz, Christopher ; Jeannotte, Erin ; Mane, Shweta ; Nalwalk, Julia ; Burdette, E. Clif ; Qian, Jiang ; Yeo, Desmond ; Pilitsis, Julie ; Fischer, Gregory S</creator><creatorcontrib>Zhao, Zhanyue ; Szewczyk, Benjamin ; Tarasek, Matthew ; Bales, Charles ; Wang, Yang ; Liu, Ming ; Jiang, Yiwei ; Bhushan, Chitresh ; Fiveland, Eric ; Campwala, Zahabiya ; Trowbridge, Rachel ; Johansen, Phillip M ; Olmsted, Zachary ; Ghoshal, Goutam ; Heffter, Tamas ; Gandomi, Katie ; Tavakkolmoghaddam, Farid ; Nycz, Christopher ; Jeannotte, Erin ; Mane, Shweta ; Nalwalk, Julia ; Burdette, E. Clif ; Qian, Jiang ; Yeo, Desmond ; Pilitsis, Julie ; Fischer, Gregory S</creatorcontrib><description>Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally
invasive option for intervening in malignant brain tumors, commonly used in
thermal ablation procedures. This technique is suitable for both primary and
metastatic cancers, utilizing a high-frequency alternating electric field (up
to 10 MHz) to excite a piezoelectric transducer. The resulting rapid
deformation of the transducer produces an acoustic wave that propagates through
tissue, leading to localized high-temperature heating at the target tumor site
and inducing rapid cell death. To optimize the design of NBTU transducers for
thermal dose delivery during treatment, numerical modeling of the acoustic
pressure field generated by the deforming piezoelectric transducer is
frequently employed. The bioheat transfer process generated by the input
pressure field is used to track the thermal propagation of the applicator over
time. Magnetic resonance thermal imaging (MRTI) can be used to experimentally
validate these models. Validation results using MRTI demonstrated the
feasibility of this model, showing a consistent thermal propagation pattern.
However, a thermal damage isodose map is more advantageous for evaluating
therapeutic efficacy. To achieve a more accurate simulation based on the actual
brain tissue environment, a new finite element method (FEM) simulation with
enhanced damage evaluation capabilities was conducted. The results showed that
the highest temperature and ablated volume differed between experimental and
simulation results by 2.1884{\deg}C (3.71%) and 0.0631 cm$^3$ (5.74%),
respectively. The lowest Pearson correlation coefficient (PCC) for peak
temperature was 0.7117, and the lowest Dice coefficient for the ablated area
was 0.7021, indicating a good agreement in accuracy between simulation and
experiment.</description><identifier>DOI: 10.48550/arxiv.2409.02395</identifier><language>eng</language><subject>Computer Science - Robotics ; Physics - Medical Physics</subject><creationdate>2024-09</creationdate><rights>http://creativecommons.org/licenses/by-nc-sa/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,781,886</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2409.02395$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2409.02395$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Zhanyue</creatorcontrib><creatorcontrib>Szewczyk, Benjamin</creatorcontrib><creatorcontrib>Tarasek, Matthew</creatorcontrib><creatorcontrib>Bales, Charles</creatorcontrib><creatorcontrib>Wang, Yang</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Jiang, Yiwei</creatorcontrib><creatorcontrib>Bhushan, Chitresh</creatorcontrib><creatorcontrib>Fiveland, Eric</creatorcontrib><creatorcontrib>Campwala, Zahabiya</creatorcontrib><creatorcontrib>Trowbridge, Rachel</creatorcontrib><creatorcontrib>Johansen, Phillip M</creatorcontrib><creatorcontrib>Olmsted, Zachary</creatorcontrib><creatorcontrib>Ghoshal, Goutam</creatorcontrib><creatorcontrib>Heffter, Tamas</creatorcontrib><creatorcontrib>Gandomi, Katie</creatorcontrib><creatorcontrib>Tavakkolmoghaddam, Farid</creatorcontrib><creatorcontrib>Nycz, Christopher</creatorcontrib><creatorcontrib>Jeannotte, Erin</creatorcontrib><creatorcontrib>Mane, Shweta</creatorcontrib><creatorcontrib>Nalwalk, Julia</creatorcontrib><creatorcontrib>Burdette, E. Clif</creatorcontrib><creatorcontrib>Qian, Jiang</creatorcontrib><creatorcontrib>Yeo, Desmond</creatorcontrib><creatorcontrib>Pilitsis, Julie</creatorcontrib><creatorcontrib>Fischer, Gregory S</creatorcontrib><title>Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation</title><description>Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally
invasive option for intervening in malignant brain tumors, commonly used in
thermal ablation procedures. This technique is suitable for both primary and
metastatic cancers, utilizing a high-frequency alternating electric field (up
to 10 MHz) to excite a piezoelectric transducer. The resulting rapid
deformation of the transducer produces an acoustic wave that propagates through
tissue, leading to localized high-temperature heating at the target tumor site
and inducing rapid cell death. To optimize the design of NBTU transducers for
thermal dose delivery during treatment, numerical modeling of the acoustic
pressure field generated by the deforming piezoelectric transducer is
frequently employed. The bioheat transfer process generated by the input
pressure field is used to track the thermal propagation of the applicator over
time. Magnetic resonance thermal imaging (MRTI) can be used to experimentally
validate these models. Validation results using MRTI demonstrated the
feasibility of this model, showing a consistent thermal propagation pattern.
However, a thermal damage isodose map is more advantageous for evaluating
therapeutic efficacy. To achieve a more accurate simulation based on the actual
brain tissue environment, a new finite element method (FEM) simulation with
enhanced damage evaluation capabilities was conducted. The results showed that
the highest temperature and ablated volume differed between experimental and
simulation results by 2.1884{\deg}C (3.71%) and 0.0631 cm$^3$ (5.74%),
respectively. The lowest Pearson correlation coefficient (PCC) for peak
temperature was 0.7117, and the lowest Dice coefficient for the ablated area
was 0.7021, indicating a good agreement in accuracy between simulation and
experiment.</description><subject>Computer Science - Robotics</subject><subject>Physics - Medical Physics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjrsOgkAQAK-xMOoHWLk_IJ48EilVMDZ2aGJF1rDKJscdOU7EvxeJvdU0M8kIMV9LL9xEkVyh7bj1_FDGnvSDOBqLa0JUw84iazgrZ7ExT13A9qbQsdGQlWQrVJCYhuBkClKsH_BiV0JfXLg1kHY1Wa5Iu967oOJiSKdidEfV0OzHiVgc0mx_XA4Ted0naN_5dyYfZoL_xgdGmz_P</recordid><startdate>20240903</startdate><enddate>20240903</enddate><creator>Zhao, Zhanyue</creator><creator>Szewczyk, Benjamin</creator><creator>Tarasek, Matthew</creator><creator>Bales, Charles</creator><creator>Wang, Yang</creator><creator>Liu, Ming</creator><creator>Jiang, Yiwei</creator><creator>Bhushan, Chitresh</creator><creator>Fiveland, Eric</creator><creator>Campwala, Zahabiya</creator><creator>Trowbridge, Rachel</creator><creator>Johansen, Phillip M</creator><creator>Olmsted, Zachary</creator><creator>Ghoshal, Goutam</creator><creator>Heffter, Tamas</creator><creator>Gandomi, Katie</creator><creator>Tavakkolmoghaddam, Farid</creator><creator>Nycz, Christopher</creator><creator>Jeannotte, Erin</creator><creator>Mane, Shweta</creator><creator>Nalwalk, Julia</creator><creator>Burdette, E. Clif</creator><creator>Qian, Jiang</creator><creator>Yeo, Desmond</creator><creator>Pilitsis, Julie</creator><creator>Fischer, Gregory S</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240903</creationdate><title>Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation</title><author>Zhao, Zhanyue ; Szewczyk, Benjamin ; Tarasek, Matthew ; Bales, Charles ; Wang, Yang ; Liu, Ming ; Jiang, Yiwei ; Bhushan, Chitresh ; Fiveland, Eric ; Campwala, Zahabiya ; Trowbridge, Rachel ; Johansen, Phillip M ; Olmsted, Zachary ; Ghoshal, Goutam ; Heffter, Tamas ; Gandomi, Katie ; Tavakkolmoghaddam, Farid ; Nycz, Christopher ; Jeannotte, Erin ; Mane, Shweta ; Nalwalk, Julia ; Burdette, E. Clif ; Qian, Jiang ; Yeo, Desmond ; Pilitsis, Julie ; Fischer, Gregory S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2409_023953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Robotics</topic><topic>Physics - Medical Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Zhanyue</creatorcontrib><creatorcontrib>Szewczyk, Benjamin</creatorcontrib><creatorcontrib>Tarasek, Matthew</creatorcontrib><creatorcontrib>Bales, Charles</creatorcontrib><creatorcontrib>Wang, Yang</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Jiang, Yiwei</creatorcontrib><creatorcontrib>Bhushan, Chitresh</creatorcontrib><creatorcontrib>Fiveland, Eric</creatorcontrib><creatorcontrib>Campwala, Zahabiya</creatorcontrib><creatorcontrib>Trowbridge, Rachel</creatorcontrib><creatorcontrib>Johansen, Phillip M</creatorcontrib><creatorcontrib>Olmsted, Zachary</creatorcontrib><creatorcontrib>Ghoshal, Goutam</creatorcontrib><creatorcontrib>Heffter, Tamas</creatorcontrib><creatorcontrib>Gandomi, Katie</creatorcontrib><creatorcontrib>Tavakkolmoghaddam, Farid</creatorcontrib><creatorcontrib>Nycz, Christopher</creatorcontrib><creatorcontrib>Jeannotte, Erin</creatorcontrib><creatorcontrib>Mane, Shweta</creatorcontrib><creatorcontrib>Nalwalk, Julia</creatorcontrib><creatorcontrib>Burdette, E. Clif</creatorcontrib><creatorcontrib>Qian, Jiang</creatorcontrib><creatorcontrib>Yeo, Desmond</creatorcontrib><creatorcontrib>Pilitsis, Julie</creatorcontrib><creatorcontrib>Fischer, Gregory S</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhao, Zhanyue</au><au>Szewczyk, Benjamin</au><au>Tarasek, Matthew</au><au>Bales, Charles</au><au>Wang, Yang</au><au>Liu, Ming</au><au>Jiang, Yiwei</au><au>Bhushan, Chitresh</au><au>Fiveland, Eric</au><au>Campwala, Zahabiya</au><au>Trowbridge, Rachel</au><au>Johansen, Phillip M</au><au>Olmsted, Zachary</au><au>Ghoshal, Goutam</au><au>Heffter, Tamas</au><au>Gandomi, Katie</au><au>Tavakkolmoghaddam, Farid</au><au>Nycz, Christopher</au><au>Jeannotte, Erin</au><au>Mane, Shweta</au><au>Nalwalk, Julia</au><au>Burdette, E. Clif</au><au>Qian, Jiang</au><au>Yeo, Desmond</au><au>Pilitsis, Julie</au><au>Fischer, Gregory S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation</atitle><date>2024-09-03</date><risdate>2024</risdate><abstract>Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally
invasive option for intervening in malignant brain tumors, commonly used in
thermal ablation procedures. This technique is suitable for both primary and
metastatic cancers, utilizing a high-frequency alternating electric field (up
to 10 MHz) to excite a piezoelectric transducer. The resulting rapid
deformation of the transducer produces an acoustic wave that propagates through
tissue, leading to localized high-temperature heating at the target tumor site
and inducing rapid cell death. To optimize the design of NBTU transducers for
thermal dose delivery during treatment, numerical modeling of the acoustic
pressure field generated by the deforming piezoelectric transducer is
frequently employed. The bioheat transfer process generated by the input
pressure field is used to track the thermal propagation of the applicator over
time. Magnetic resonance thermal imaging (MRTI) can be used to experimentally
validate these models. Validation results using MRTI demonstrated the
feasibility of this model, showing a consistent thermal propagation pattern.
However, a thermal damage isodose map is more advantageous for evaluating
therapeutic efficacy. To achieve a more accurate simulation based on the actual
brain tissue environment, a new finite element method (FEM) simulation with
enhanced damage evaluation capabilities was conducted. The results showed that
the highest temperature and ablated volume differed between experimental and
simulation results by 2.1884{\deg}C (3.71%) and 0.0631 cm$^3$ (5.74%),
respectively. The lowest Pearson correlation coefficient (PCC) for peak
temperature was 0.7117, and the lowest Dice coefficient for the ablated area
was 0.7021, indicating a good agreement in accuracy between simulation and
experiment.</abstract><doi>10.48550/arxiv.2409.02395</doi><oa>free_for_read</oa></addata></record> |
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title | Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation |
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