LEADER 02546nam 2200553 450 001 9910791145303321 005 20230803023540.0 010 $a0-19-997624-4 035 $a(CKB)2550000001341513 035 $a(EBL)1760894 035 $a(SSID)ssj0001290035 035 $a(PQKBManifestationID)12442998 035 $a(PQKBTitleCode)TC0001290035 035 $a(PQKBWorkID)11233593 035 $a(PQKB)10988789 035 $a(MiAaPQ)EBC1760894 035 $a(Au-PeEL)EBL1760894 035 $a(CaPaEBR)ebr10904467 035 $a(CaONFJC)MIL634034 035 $a(OCoLC)886116389 035 $a(EXLCZ)992550000001341513 100 $a20140815h20132013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aX-ray vision $ethe evolution of medical imaging and its human significance /$fRichard B. Gunderman 210 1$aOxford, England ;$aNew York :$cOxford University Press,$d2013. 210 4$d©2013 215 $a1 online resource (236 p.) 300 $aIncludes index. 311 $a0-19-997623-6 311 $a1-322-02783-8 327 $aCover; Contents; 1 X-Ray Vision; 2 A New Kind of Light; 3 Transgressions; 4 Artistic Vision; 5 Scientific Vision; 6 Seeing With Sound; 7 Illuminating Reproduction; 8 Slices of Life; 9 Magnetic Imaging; 10 Hunting Cancer; 11 Too Little, Too Late; 12 Oracular Vision; 13 Coda: Images and Words; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X 330 $aThe discovery of the x-ray in 1895 proved to be one of the most transformative breakthroughs in the history of science. It ushered in a new era in medicine, allowing physicians and patients to peer inside the living human body, without the use of a scalpel, to assess health and diagnose diseases. The x-ray opened up the world of the very small, allowing us to determine the structure of the molecules of which we are made. It also revealed the true nature of the largest and oldest objects in the universe, including the universe itself. Today it has spawned amazing new imaging techniques, includi 606 $aRadiology, Medical$xHistory 606 $aDiagnostic imaging$xHistory 615 0$aRadiology, Medical$xHistory. 615 0$aDiagnostic imaging$xHistory. 676 $a616.07/572 700 $aGunderman$b Richard B.$01143614 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910791145303321 996 $aX-ray vision$93774777 997 $aUNINA LEADER 01904nam 2200421z- 450 001 9910346783203321 005 20210211 010 $a1000045577 035 $a(CKB)4920000000100691 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/51747 035 $a(oapen)doab51747 035 $a(EXLCZ)994920000000100691 100 $a20202102d2015 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aLinear Estimation in Interconnected Sensor Systems with Information Constraints 210 $cKIT Scientific Publishing$d2015 215 $a1 online resource (XVII, 227 p. p.) 225 1 $aKarlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory 311 08$a3-7315-0342-5 330 $aA ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed. 610 $aDatenfusion 610 $adistributed systems 610 $aestimation theory 610 $aKalman Filter 610 $aKalman filtering 610 $aScha?tztheorie 610 $asensor networks 610 $aSensornetze 610 $aVerteilte SystemsData fusion 700 $aReinhardt$b Marc$4auth$01318463 906 $aBOOK 912 $a9910346783203321 996 $aLinear Estimation in Interconnected Sensor Systems with Information Constraints$93033287 997 $aUNINA