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020 _a9780750325929
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020 _a9780750325912
_qmobi
020 _z9780750325905
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020 _z9780750325936
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024 7 _a10.1088/978-0-7503-2592-9
_2doi
035 _a(CaBNVSL)thg00083523
035 _a(OCoLC)1354331299
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aRC280.B8
_bP383 2022eb
060 4 _aWP 39
_bP295b 2022eb
072 7 _aMQW
_2bicssc
072 7 _aTEC059000
_2bisacsh
082 0 4 _a616.994490754
_223
100 1 _aPatel, Hardik N.,
_eauthor.
_970729
245 1 0 _aBreast image reconstruction and cancer detection using microwave imaging /
_cHardik N. Patel, Deepak K. Ghodgaonkar, Jasjit S. Suri.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2022]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIOP ebooks. [2022 collection]
500 _a"Version: 20221201"--Title page verso.
504 _aIncludes bibliographical references.
505 0 _a1. Introduction to breast cancer -- 1.1. Introduction to cancer -- 1.2. Worldwide cancer statistics -- 1.3. Breast cancer statistics -- 1.4. Breast anatomy and breast cancer -- 1.5. Summary
505 8 _a2. Introduction to breast cancer detection techniques -- 2.1. Imaging modalities for breast cancer screening -- 2.2. Mammography -- 2.3. Ultrasound imaging -- 2.4. Magnetic resonance imaging -- 2.5. Positron emission tomography -- 2.6. Diffuse optical tomography -- 2.7. Electrical impedance tomography -- 2.8. Computed tomography (CT) -- 2.9. Microwave imaging -- 2.10. Comparison of mammography, MRI and ultrasound -- 2.11. Overview of image reconstruction methods -- 2.12. Summary
505 8 _a3. Introduction to microwave imaging -- 3.1. Introduction -- 3.2. Introduction to passive microwave imaging -- 3.3. Microwave radiometry for cancer detection -- 3.4. Active microwave imaging -- 3.5. Summary
505 8 _a4. Finite difference time domain method for microwave breast imaging -- 4.1. Overview of computational electromagnetic methods -- 4.2. Motivation -- 4.3. Overview of FDTD -- 4.4. Derivation of basic FDTD update equations -- 4.5. Polarization current density equation derivation for numerical breast phantom region -- 4.6. Electric field update equation derivation for numerical breast phantom region -- 4.7. Derivation of electric field update equations for PML region -- 4.8. Magnetic field update equations -- 4.9. Steps for FDTD implementation -- 4.10. Simulation parameters -- 4.11. Results -- 4.12. Summary
505 8 _a5. 3D level set based optimization -- 5.1. Multiple frequency inverse scattering problem formulation -- 5.2. Introduction -- 5.3. Problem formulation -- 5.4. Review of previous work -- 5.5. Theoretical foundations -- 5.6. Single 3D level set function based optimization -- 5.7. Two 3D level set function based optimization -- 5.8. Simulation parameters -- 5.9. Results -- 5.10. Summary
505 8 _a6. Method of moments -- 6.1. Theoretical background -- 6.2. Problem formulation -- 6.3. Computation reduction using group theory -- 6.4. Inverse scattering problem formulation -- 6.5. Simulation parameters and noise consideration -- 6.6. Results -- 6.7. Summary
505 8 _a7. Finite difference time domain for microwave imaging -- 7.1. Introduction to finite difference time domain -- 7.2. Microwave image formation using confocal technique -- 7.3. Space-time beamforming -- 7.4. Removal of skin-breast artifact -- 7.5. FDTD based time reversal for microwave breast cancer detection -- 7.6. Summary
505 8 _a8. Review of machine learning based image reconstruction for different imaging modalities -- 8.1. Introduction -- 8.2. Traditional image reconstruction techniques -- 8.3. Machine learning techniques for image reconstruction -- 8.4. Performance analysis of proposed approaches -- 8.5. Summary
505 8 _a9. Review of machine learning based image reconstruction for microwave breast imaging -- 9.1. Motivation -- 9.2. Machine learning in microwave imaging -- 9.3. Flow of the machine learning based microwave breast imaging for cancer diagnosis -- 9.4. Variational Bayesian inversion for microwave breast imaging -- 9.5. Deep neural networks for microwave breast imaging -- 9.6. Summary
505 8 _a10. Microwave image reconstruction methods -- 10.1. Levenberg-Marquardt method -- 10.2. Gauss-Newton method -- 10.3. Born iterative method -- 10.4. Stochastic optimization methods for microwave imaging -- 10.5. Summary
505 8 _a11. The role of AI in diagnosis, treatment and monitoring of breast cancer during COVID-19 and ahead -- 11.1. Introduction -- 11.2. AI architectures -- 11.3. The role of artificial intelligence in diagnosis of breast cancer -- 11.4. The role of AI in treatment of breast cancer -- 11.5. The role of AI in monitoring of breast cancer -- 11.6. AI based integrated system for breast cancer management -- 11.7. Summary -- Appendix A. Numerical breast phantom, antenna placement and immersion (surrounding) medium -- Appendix B. Important derivations.
520 3 _aThis reference text explores cutting edge research into the detection of breast cancer using microwave imaging.
521 _aAcademic community working in biomedical imaging, electromagnetic and microwave imaging, breast cancer imaging, inverse scattering and optimization.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aDr. Hardik N. Patel completed his PhD from Dhirubhai Ambani Institute of Information and communication technology in 2019. Master of Technology in Communication Systems from Sardar Vallabhbhai National Institute of Technology in 2010.
588 0 _aTitle from PDF title page (viewed on January 9, 2023).
650 0 _aBreast
_xCancer
_xImaging.
_970730
650 0 _aMicrowave imaging in medicine.
_970731
650 1 2 _aBreast Neoplasms
_xdiagnostic imaging.
_970732
650 1 2 _aMicrowave Imaging.
_970733
650 7 _aBiomedical engineering.
_2bicssc
_93292
650 7 _aTECHNOLOGY & ENGINEERING / Biomedical.
_2bisacsh
_915690
700 1 _aGhodgaonkar, Deepak K.,
_eauthor.
_970734
700 1 _aSuri, Jasjit S.,
_eauthor.
_970735
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_911622
776 0 8 _iPrint version:
_z9780750325905
_z9780750325936
830 0 _aIOP (Series).
_pRelease 22.
_970736
830 0 _aIOP ebooks.
_p2022 collection.
_970737
856 4 0 _uhttps://iopscience.iop.org/book/mono/978-0-7503-2592-9
942 _cEBK
999 _c82896
_d82896