LEADER 04376nam 22006615 450 001 9910300333803321 005 20200702121954.0 010 $a3-658-05697-5 024 7 $a10.1007/978-3-658-05697-1 035 $a(CKB)2560000000148999 035 $a(EBL)1731397 035 $a(OCoLC)884013712 035 $a(SSID)ssj0001205095 035 $a(PQKBManifestationID)11962962 035 $a(PQKBTitleCode)TC0001205095 035 $a(PQKBWorkID)11192130 035 $a(PQKB)11702264 035 $a(MiAaPQ)EBC1731397 035 $a(DE-He213)978-3-658-05697-1 035 $a(PPN)178319538 035 $a(EXLCZ)992560000000148999 100 $a20140416d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aThree-Dimensional Digital Tomosynthesis$b[electronic resource] $eIterative Reconstruction, Artifact Reduction and Alternative Acquisition Geometry /$fby Yulia Levakhina 205 $a1st ed. 2014. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2014. 215 $a1 online resource (205 p.) 225 1 $aAktuelle Forschung Medizintechnik ? Latest Research in Medical Engineering,$x2625-9354 300 $aDescription based upon print version of record. 311 $a3-658-05696-7 320 $aIncludes bibliographical references. 327 $aForward and Backprojection Model -- Iterative Image Reconstruction for Tomosynthesis -- Backprojected Space in Image Reconstruction -- Dual-Axis Tilt Acquisition Geometry. 330 $aYulia Levakhina gives an introduction to the major challenges of image reconstruction in Digital Tomosynthesis (DT), particularly to the connection of the reconstruction problem with the incompleteness of the DT dataset. The author discusses the factors which cause the formation of limited angle artifacts and proposes how to account for them in order to improve image quality and axial resolution of modern DT. The addressed methods include a weighted non-linear backprojection scheme for algebraic reconstruction and a novel dual-axis acquisition geometry. All discussed algorithms and methods are supplemented by detailed illustrations, hints for practical implementation, pseudo-code, simulation results and real patient case examples.  Contents Forward and Backprojection Model Iterative Image Reconstruction for Tomosynthesis Backprojected Space in Image Reconstruction Dual-Axis Tilt Acquisition Geometry  Target Groups Academics and practitioners in the fields of computer science, X-ray imaging, computed tomography, tomosynthesis, iterative image reconstruction and medical imaging; radiologists and physicians.  The Author Yulia Levakhina earned her doctoral degree at the Institute of Medical Engineering, University of Lübeck, under the supervision of Prof. Thorsten M. Buzug. She works at a leading innovator company among CT manufacturers, where she is responsible for the research and development of image reconstruction algorithms for high-performance and precise CT scanners.  The Editor The series Aktuelle Forschung Medizintechnik is edited by Thorsten M. Buzug.  . 410 0$aAktuelle Forschung Medizintechnik ? Latest Research in Medical Engineering,$x2625-9354 606 $aOptical data processing 606 $aBiomedical engineering 606 $aComputer science 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aComputer Science, general$3https://scigraph.springernature.com/ontologies/product-market-codes/I00001 615 0$aOptical data processing. 615 0$aBiomedical engineering. 615 0$aComputer science. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aComputer Science, general. 676 $a004 676 $a616.07 676 $a616.0757 700 $aLevakhina$b Yulia$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755296 906 $aBOOK 912 $a9910300333803321 996 $aThree-Dimensional Digital Tomosynthesis$91521824 997 $aUNINA