000 | 03792nam a22006135i 4500 | ||
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001 | 978-3-319-48998-8 | ||
003 | DE-He213 | ||
005 | 20220801220750.0 | ||
007 | cr nn 008mamaa | ||
008 | 161122s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319489988 _9978-3-319-48998-8 |
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024 | 7 |
_a10.1007/978-3-319-48998-8 _2doi |
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050 | 4 | _aTK5102.9 | |
072 | 7 |
_aTJF _2bicssc |
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_aUYS _2bicssc |
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_aTEC008000 _2bisacsh |
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_aTJF _2thema |
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_aUYS _2thema |
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_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. |
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300 |
_aIX, 108 p. 37 illus., 18 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aPoliTO Springer Series, _x2509-7024 |
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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 |
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650 | 0 |
_aComputer vision. _952220 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 0 |
_aBioinformatics. _99561 |
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650 | 0 |
_aUltrasonics. _927465 |
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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 |
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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 |
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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 |