Thermoacoustic Tomography: Principles and applications

151 Pages·2020·45.306 MB·English

by  Huabei Jiang

Thermoacoustic Tomography
Principles and applications
IPEM–IOP Series in Physics and Engineering in Medicine and Biology
Editorial Advisory Board Members
Frank Verhaegen Kwan Hoong Ng
Maastro Clinic, the Netherlands University of Malaya, Malaysia
Carmel Caruana John Hossack
University of Malta, Malta University of Virginia, USA
Penelope Allisy-Roberts Tingting Zhu
formerly of BIPM, Sèvres, France University of Oxford, UK
Rory Cooper Dennis Schaart
University of Pittsburgh, USA TU Delft, the Netherlands
Alicia El Haj Indra J Das
University of Birmingham, UK New York University, USA
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Thermoacoustic Tomography
Principles and applications
Huabei Jiang
Department of Medical Engineering, USF Center for Advanced Biomedical Imaging,
University of South Florida, Tampa, FL, USA
IOP Publishing, Bristol, UK
A historical small town in Sichuan, China. Ink and color pencil on paper, 27.9cm × 35.5cm, drawn and
paintedbyHuabeiJiang.Thispiecewasinspiredbyauniquecombinationofinkdrawingandpaintingby
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YosemiteNationalParkinCalifornia,USA.WatercoloronXuanpaper(fromtreeskins),47.5cm×69.5cm,
paintedbyHuabeiJiang.Infact,thispiecewasinspiredbyconventionalChinesepainting,watercolorand
paintingbyimpressionists,whichistrulyanalogictoamultimodalapproachinimagingscience.
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ISBN 978-0-7503-3163-0(ebook)
ISBN 978-0-7503-3161-6(print)
ISBN 978-0-7503-3164-7(myPrint)
ISBN 978-0-7503-3162-3(mobi)
DOI 10.1088/978-0-7503-3163-0
Version:20200301
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To my Alma Mater high school, Quxian High School (Quxian, Sichuan, China),
where I spent the most beautiful two years of my life.

Contents
Preface xii
Acknowledgements xiv
Author biography xv
1 Fundamentals of thermoacoustic tomography 1-1
1.1 Thermoacoustic effect 1-1
1.2 Image reconstruction methods 1-3
1.2.1 Delay-and-sum beam forming algorithm 1-3
1.2.2 A-line/B-mode image formation method 1-3
1.2.3 Iterative nonlinear algorithm 1-4
1.3 Instrumentation 1-9
References 1-10
2 Quantitative thermoacoustic tomography 2-1
2.1 Recovery of tissue conductivity 2-1
2.2 Simultaneous recovery of absorbed microwave energy density and 2-13
acoustic velocity
2.3 Simultaneous recovery of conductivity and elasticity 2-15
2.3.1 Image reconstruction algorithm 2-15
2.3.2 Numerical simulations 2-18
2.3.3 Phantom experiments 2-18
2.3.4 Results 2-18
2.3.5 Discussion and conclusion 2-20
References 2-22
3 Image enhancement: software and hardware approaches 3-1
3.1 Dual mesh scheme 3-1
3.2 Adjoint sensitivity method 3-3
3.3 TVM scheme 3-4
3.4 Rigorous incident electric field and adaptive minimization strategy 3-6
3.4.1 Simulations and experiments 3-8
3.4.2 Discussion 3-12
3.5 Parallel computation 3-12
ix