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001 978-3-319-48998-8
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020 _a9783319489988
_9978-3-319-48998-8
024 7 _a10.1007/978-3-319-48998-8
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
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_2bisacsh
072 7 _aTJF
_2thema
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082 0 4 _a621.382
_223
100 1 _aMeiburger, Kristen M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952219
245 1 0 _aQuantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters
_h[electronic resource] /
_cby Kristen M. Meiburger.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aIX, 108 p. 37 illus., 18 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 _aPoliTO Springer Series,
_x2509-7024
505 0 _aIntroduction -- Automated IMT carotid artery far wall segmentation techniques -- Validation of the carotid intima-media thickness variability (IMTV).-Quantitative assessment of cancer vascular architecture by skeletonization of 3D CEUS Images -- Skeletonization based blood vessel quantification algorithm for in vivo photoacoustic 3D images -- Conclusions and Final Remarks.
520 _aThis book describes the development of quantitative techniques for ultrasound and photoacoustic imaging in the assessment of architectural and vascular parameters. It presents morphological vascular research based on the development of quantitative imaging techniques for the use of clinical B-mode ultrasound images, and preclinical architectural vascular investigations on quantitative imaging techniques for ultrasounds and photoacoustics. The book is divided into two main parts, the first of which focuses on the development and validation of quantitative techniques for the assessment of vascular morphological parameters that can be extracted from B-mode ultrasound longitudinal images of the common carotid artery. In turn, the second part highlights quantitative imaging techniques for assessing the architectural parameters of vasculature that can be extracted from 3D volumes, using both contrast-enhanced ultrasound (CEUS) imaging and photoacoustic imaging without the addition of any contrast agent. Sharing and summarizing the outcomes of this important research, the book will be of interest to a broad range of researchers and practitioners in the fields of medical imaging and biomedical engineering.
650 0 _aSignal processing.
_94052
650 0 _aComputer vision.
_952220
650 0 _aBiomedical engineering.
_93292
650 0 _aBioinformatics.
_99561
650 0 _aUltrasonics.
_927465
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aComputer Vision.
_952221
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aComputational and Systems Biology.
_931619
650 2 4 _aUltrasonics.
_927465
710 2 _aSpringerLink (Online service)
_952222
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319489971
776 0 8 _iPrinted edition:
_z9783319489995
776 0 8 _iPrinted edition:
_z9783319840635
830 0 _aPoliTO Springer Series,
_x2509-7024
_952223
856 4 0 _uhttps://doi.org/10.1007/978-3-319-48998-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78913
_d78913