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A modeling-based assessment of acous...

Adams, Matthew Tyler.

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A modeling-based assessment of acousto-optic sensing for monitoring high-intensity focused ultrasound lesion formation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A modeling-based assessment of acousto-optic sensing for monitoring high-intensity focused ultrasound lesion formation./
Author:	Adams, Matthew Tyler.
Description:	190 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-07(E), Section: B.
Contained By:	Dissertation Abstracts International76-07B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3684986
ISBN:	9781321605105

A modeling-based assessment of acousto-optic sensing for monitoring high-intensity focused ultrasound lesion formation.
Adams, Matthew Tyler.

A modeling-based assessment of acousto-optic sensing for monitoring high-intensity focused ultrasound lesion formation. - 190 p.

Source: Dissertation Abstracts International, Volume: 76-07(E), Section: B.

Thesis (Ph.D.)--Boston University, 2015.

Real-time acousto-optic (AO) sensing---a dual-wave modality that combines ultrasound with diffuse light to probe the optical properties of turbid media---has been demonstrated to non-invasively detect changes in ex vivo tissue optical properties during high-intensity focused ultrasound (HIFU) exposure. The AO signal indicates the onset of lesion formation and predicts resulting lesion volumes. Although proof-of-concept experiments have been successful, many of the underlying parameters and mechanisms affecting thermally induced optical property changes and the AO detectability of HIFU lesion formation are not well understood. In thesis, a numerical simulation was developed to model the AO sensing process and capture the relevant acoustic, thermal, and optical transport processes.

ISBN: 9781321605105Subjects--Topical Terms:

649730
Mechanical engineering.

A modeling-based assessment of acousto-optic sensing for monitoring high-intensity focused ultrasound lesion formation.
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100 1 $a Adams, Matthew Tyler. $3 3181609
245 1 2 $a A modeling-based assessment of acousto-optic sensing for monitoring high-intensity focused ultrasound lesion formation.
300 $a 190 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-07(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Advisers: Ronald A. Roy; Robin O. Cleveland.
502 $a Thesis (Ph.D.)--Boston University, 2015.
520 $a Real-time acousto-optic (AO) sensing---a dual-wave modality that combines ultrasound with diffuse light to probe the optical properties of turbid media---has been demonstrated to non-invasively detect changes in ex vivo tissue optical properties during high-intensity focused ultrasound (HIFU) exposure. The AO signal indicates the onset of lesion formation and predicts resulting lesion volumes. Although proof-of-concept experiments have been successful, many of the underlying parameters and mechanisms affecting thermally induced optical property changes and the AO detectability of HIFU lesion formation are not well understood. In thesis, a numerical simulation was developed to model the AO sensing process and capture the relevant acoustic, thermal, and optical transport processes.
520 $a The simulation required data that described how optical properties changed with heating. Experiments were carried out where excised chicken breast was exposed to thermal bath heating and changes in the optical absorption and scattering spectra (500 nm--1100 nm) were measured using a scanning spectrophotometer and an integrating sphere assembly. Results showed that the standard thermal dose model currently used for guiding HIFU treatments needs to be adjusted to describe thermally induced optical property changes.
520 $a To model the entire AO process, coupled models were used for ultrasound propagation, tissue heating, and diffusive light transport. The angular spectrum method was used to model the acoustic field from the HIFU source. Spatial-temporal temperature elevations induced by the absorption of ultrasound were modeled using a finite-difference time-domain solution to the Pennes bioheat equation. The thermal dose model was then used to determine optical properties based on the temperature history. The diffuse optical field in the tissue was then calculated using a GPU-accelerated Monte Carlo algorithm, which accounted for light-sound interactions and AO signal detection. The simulation was used to determine the optimal design for an AO guided HIFU system by evaluating the robustness of the systems signal to changes in tissue thickness, lesion optical contrast, and lesion location. It was determined that AO sensing is a clinically viable technique for guiding the ablation of large volumes and that real-time sensing may be feasible in the breast and prostate.
590 $a School code: 0017.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Biomedical engineering. $3 535387
650 4 $a Acoustics. $3 879105
690 $a 0548
690 $a 0541
690 $a 0986
710 2 $a Boston University. $b Mechanical Engineering. $3 3181610
773 0 $t Dissertation Abstracts International $g 76-07B(E).
790 $a 0017
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3684986