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010   $a981-10-5837-7
024 7 $a10.1007/978-981-10-5837-0
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035   $a(MiAaPQ)EBC6213149
035   $a(DE-He213)978-981-10-5837-0
035   $a(PPN)248393146
035   $a(EXLCZ)994100000011273619
100   $a20200529d2020      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDeformable Registration Techniques for Thoracic CT Images$b[electronic resource] $eAn Insight into Medical Image Registration /$fby Ali Imam Abidi, S.K. Singh
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (138 pages)
311   $a981-10-5836-9 
327   $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.
330   $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. .
606   $aOptical data processing
606   $aPattern recognition
606   $aRadiology
606   $aBioinformatics 
606   $aComputational biology 
606   $aHealth informatics
606   $aComputer graphics
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005
606   $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060
606   $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013
615  0$aOptical data processing.
615  0$aPattern recognition.
615  0$aRadiology.
615  0$aBioinformatics .
615  0$aComputational biology .
615  0$aHealth informatics.
615  0$aComputer graphics.
615 14$aImage Processing and Computer Vision.
615 24$aPattern Recognition.
615 24$aImaging / Radiology.
615 24$aComputer Appl. in Life Sciences.
615 24$aHealth Informatics.
615 24$aComputer Graphics.
676   $a006.6 
700   $aAbidi$b Ali Imam$4aut$4http://id.loc.gov/vocabulary/relators/aut$0977497
702   $aSingh$b S.K$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996465341403316
996   $aDeformable Registration Techniques for Thoracic CT Images$92227009
997   $aUNISA