000 04172nam a22006255i 4500
001 978-981-15-3984-8
003 DE-He213
005 20220801213511.0
007 cr nn 008mamaa
008 200407s2020 si | s |||| 0|eng d
020 _a9789811539848
_9978-981-15-3984-8
024 7 _a10.1007/978-981-15-3984-8
_2doi
050 4 _aQC685-689.55
050 4 _aTA1671-1707
072 7 _aPHJL
_2bicssc
072 7 _aSCI053000
_2bisacsh
072 7 _aPHJL
_2thema
082 0 4 _a621.366
_223
245 1 0 _aLED-Based Photoacoustic Imaging
_h[electronic resource] :
_bFrom Bench to Bedside /
_cedited by Mithun Kuniyil Ajith Singh.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aX, 393 p. 170 illus., 152 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aProgress in Optical Science and Photonics,
_x2363-510X ;
_v7
505 0 _aFundamentals of photoacoustic imaging: A theoretical tutorial -- High-power light emitting diodes; an alternative excitation source for photoacoustic tomography -- Deformation-compensated averaging for deep-tissue LED and laser diode-based photoacoustic imaging integrated with handheld echo ultrasound -- Ultrasound receive-side strategies for image quality enhancement in low-energy illumination based Photoacoustic Imaging -- Vascular complexity evaluation using a skeletonization approach and 3D LED-based photoacoustic images -- Multiscale signal processing methods for improving image reconstruction and visual quality in LED-based photoacoustic systems -- Data structure assisted accelerated reconstruction strategy for handheld photoacoustic imaging -- Democratizing LED-Based Photoacoustic Imaging with Adaptive Beamforming and Deep Convolutional Neural Network -- Deep learning for image processing and reconstruction to enhance LED-based photoacoustic imaging -- Light emitting diodes based photoacoustic and ultrasound tomography: Imaging aspects and applications -- Functional and Molecular Photoacoustic Computed Tomography using Light Emitting Diodes.
520 _aThis book highlights the use of LEDs in biomedical photoacoustic imaging. In chapters written by key opinion leaders in the field, it covers a broad range of topics, including fundamentals, principles, instrumentation, image reconstruction and data/image processing methods, preclinical and clinical applications of LED-based photoacoustic imaging. Apart from preclinical imaging studies and early clinical pilot studies using LED-based photoacoustics, the book includes a chapter exploring the opportunities and challenges of clinical translation from an industry perspective. Given its scope, the book will appeal to scientists and engineers in academia and industry, as well as medical experts interested in the clinical applications of photoacoustic imaging.
650 0 _aLasers.
_97879
650 0 _aBiomedical engineering.
_93292
650 0 _aBiotechnology.
_97533
650 0 _aSpectrum analysis.
_911993
650 0 _aSignal processing.
_94052
650 0 _aBiophysics.
_94093
650 1 4 _aLaser.
_931624
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aBiotechnology.
_97533
650 2 4 _aSpectroscopy.
_931611
650 2 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aBiophysics.
_94093
700 1 _aKuniyil Ajith Singh, Mithun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_932458
710 2 _aSpringerLink (Online service)
_932459
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811539831
776 0 8 _iPrinted edition:
_z9789811539855
776 0 8 _iPrinted edition:
_z9789811539862
830 0 _aProgress in Optical Science and Photonics,
_x2363-510X ;
_v7
_932460
856 4 0 _uhttps://doi.org/10.1007/978-981-15-3984-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75250
_d75250