000 | 03350nam a22005895i 4500 | ||
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001 | 978-981-10-5837-0 | ||
003 | DE-He213 | ||
005 | 20240423125220.0 | ||
007 | cr nn 008mamaa | ||
008 | 200529s2020 si | s |||| 0|eng d | ||
020 |
_a9789811058370 _9978-981-10-5837-0 |
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024 | 7 |
_a10.1007/978-981-10-5837-0 _2doi |
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_a006.37 _223 |
100 | 1 |
_aAbidi, Ali Imam. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aDeformable Registration Techniques for Thoracic CT Images _h[electronic resource] : _bAn Insight into Medical Image Registration / _cby Ali Imam Abidi, S.K. Singh. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020. |
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300 |
_aVII, 135 p. 83 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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_atext file _bPDF _2rda |
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505 | 0 | _aChapter 1. Introduction -- Chapter 2. Theoretical Background -- Chapter 3. A Moving Least Square Based Framework for Thoracic CT Image Registration -- Chapter 4. A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences -- Chapter 5. Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization -- Chapter 6. Conclusion & Future Work. | |
520 | _aThis book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people. . | ||
650 | 0 | _aComputer vision. | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aRadiology. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aMedical informatics. | |
650 | 0 | _aComputer graphics. | |
650 | 1 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aRadiology. |
650 | 2 | 4 | _aComputational and Systems Biology. |
650 | 2 | 4 | _aHealth Informatics. |
650 | 2 | 4 | _aComputer Graphics. |
700 | 1 |
_aSingh, S.K. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811058363 |
776 | 0 | 8 |
_iPrinted edition: _z9789811058387 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-5837-0 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
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