LEADER 02285nam 2200397 450 001 9910774718403321 005 20230224135852.0 035 $a(CKB)5840000000089832 035 $a(NjHacI)995840000000089832 035 $a(EXLCZ)995840000000089832 100 $a20230224d2022 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aLa fattoria medicea di Cascine di Tavola a Prato $eun progetto integrato di territorio per la rigenerazione patrimoniale di un paesaggio vivente /$fGiuseppe Alberto Centauro, David Fanfani 210 1$aFirenze :$cFirenze University Press,$d[2022] 210 4$dİ2022 215 $a1 online resource (288 pages) $cillustrations 225 1 $aRicerche. Architettura, pianificazione, paesaggio, design 311 $a88-5518-600-0 330 $aThe Medici's Farm of Cascine di Tavola, commissioned by Lorenzo Il Magnifico in 1477, and the set of agro-environmental areas functional to it, have over time been configured as an extraordinary unitary system of agro-environmental and cultural-landscape value and of exemplary relevance as a model of co-evolutionary man-nature management of the territory. Starting from this legacy - and also from the improper management and interventions of which it was subject in the second half of the nineteenth century - the research seeks to retain the genealogy and identity of this heritage, identifying, both in terms of analysis and design scenario, the conditions for a realistic process of regeneration not only of the cultural heritage that characterizes it but also of its territorial "framing" function and as a tool for "socio-ecological" innovation and sustainable local planning and development. 410 0$aRicerche. Architettura, pianificazione, paesaggio, design. 517 $aFattoria medicea di Cascine di Tavola a Prato 606 $aCultural landscapes 615 0$aCultural landscapes. 676 $a304.2 700 $aCentauro$b Giuseppe Alberto$039211 702 $aFanfani$b David 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910774718403321 996 $aLa fattoria medicea di Cascine di Tavola a Prato$93014686 997 $aUNINA LEADER 05698nam 2200733Ia 450 001 9910960945003321 005 20250724101628.0 010 $a1-281-11899-0 010 $a9786611118990 010 $a0-08-054905-5 035 $a(CKB)1000000000364095 035 $a(EBL)305682 035 $a(OCoLC)173483828 035 $a(SSID)ssj0000268106 035 $a(PQKBManifestationID)11193595 035 $a(PQKBTitleCode)TC0000268106 035 $a(PQKBWorkID)10214071 035 $a(PQKB)10355514 035 $a(MiAaPQ)EBC305682 035 $a(Au-PeEL)EBL305682 035 $a(CaPaEBR)ebr10188173 035 $a(CaONFJC)MIL111899 035 $a(EXLCZ)991000000000364095 100 $a20061206d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aVisualization in medicine $etheory, algorithms, and applications /$fBernhard Preim, Dirk Bartz 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cMorgan Kaufmann$d2007 215 $a1 online resource (677 p.) 225 1 $aMorgan Kaufmann series in computer graphics and geometric modeling 300 $aDescription based upon print version of record. 311 08$a0-12-370596-7 320 $aIncludes bibliographical references (p. 589-640) and index. 327 $aFront Cover; Visualization in Medicine; Copyright Page; Table of Contents; Foreword; Preface; Chapter 1. Introduction; 1.1 Visualization in Medicine as a Specialty of Scientific Visualization; 1.2 Computerized Medical Imaging; 1.3 2D and 3D Visualizations; 1.4 Organization; Part I: Acquisition, Analysis, and Interpretation of Medical Volume Data; Chapter 2. Medical Image Data and Visual Perception; 2.1 Medical Image Data; 2.2 Data Artifacts; 2.3 Sensitivity and Specificity; 2.4 Visual Perception; 2.5 Summary; Chapter 3. Acquisition of Medical Image Data; 3.1 X-ray Imaging 327 $a3.2 Computed Tomography3.3 Magnetic Resonance Imaging; 3.4 Ultrasound; 3.5 Positron Emission Tomography (PET); 3.6 Single-Photon Emission Computed Tomography (SPECT); 3.7 Summary; Chapter 4. Medical Volume Data in Clinical Practice; 4.1 Storage of Medical Image Data; 4.2 Conventional Film-based Diagnosis; 4.3 Soft-Copy Reading; 4.4 Summary; Chapter 5. Image Analysis for Medical Visualization; 5.1 Requirements; 5.2 Preprocessing and Filtering; 5.3 General Segmentation Approaches; 5.4 Model-based Segmentation Methods; 5.5 Interaction Techniques; 5.6 Postprocessing of Segmentation Results 327 $a5.7 Skeletonization5.8 Validation of Segmentation Methods; 5.9 Registration and Fusion of Medical Image Data; 5.10 Summary; Part II: Volume Visualization; Chapter 6. Fundamentals of Volume Visualization; 6.1 The Volume Visualization Pipeline; 6.2 Histograms and Volume Classification; 6.3 Illumination in Scalar Volume Datasets; 6.4 Summary; Chapter 7. Indirect Volume Visualization; 7.1 Plane-Based Volume Rendering; 7.2 Surface-Based Volume Rendering; 7.3 Surface Postprocessing; 7.4 Summary; Chapter 8. Direct Volume Visualization; 8.1 Theoretical Models for Direct Volume Rendering 327 $a8.2 The Volume Rendering Pipeline8.3 Compositing; 8.4 Summary; Chapter 9. Algorithms for Direct Volume Visualization; 9.1 Ray Casting; 9.2 Shear Warp; 9.3 Splatting; 9.4 Texture-Mapping; 9.5 Other Direct Volume Rendering Approaches; 9.6 Direct Volume Rendering of Segmented Volume Data; 9.7 Hybrid Volume Rendering; 9.8 Validation of Volume Visualization Algorithms; 9.9 Summary; Chapter 10. Exploration of Dynamic Medical Volume Data; 10.1 Introduction; 10.2 Medical Background; 10.3 Basic Visualization Techniques; 10.4 Data Processing; 10.5 Advanced Visualization Techniques 327 $a10.6 Case Study: Tumor Perfusion10.7 Case Study: Brain Perfusion; 10.8 Summary; Part III: Exploration of Medical Volume Data; Chapter 11. Transfer Function Specification; 11.1 Strategies for One-Dimensional Transfer Functions; 11.2 Multidimensional Transfer Functions; 11.3 Gradient-based Transfer Functions; 11.4 Distance-based Transfer functions; 11.5 Local and Spatialized Transfer Functions; 11.6 Summary; Chapter 12. Clipping, Cutting, and Virtual Resection; 12.1 Clipping; 12.2 Virtual Resection; 12.3 Virtual Resection with a Deformable Cutting Plane; 12.4 Cutting Medical Volume Data 327 $a12.5 Summary 330 $aVisualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The 410 0$aMorgan Kaufmann series in computer graphics and geometric modeling. 606 $aImaging systems in medicine 606 $aDiagnostic imaging 606 $aMedicine$xData processing 606 $aMedical radiology$xData processing 615 0$aImaging systems in medicine. 615 0$aDiagnostic imaging. 615 0$aMedicine$xData processing. 615 0$aMedical radiology$xData processing. 676 $a616.0754 676 $a616.0754 700 $aPreim$b Bernhard$0476243 701 $aBartz$b D$g(Dirk)$01832899 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910960945003321 996 $aVisualization in medicine$94407461 997 $aUNINA