04384oam 2200517K 450 991079373260332120230124195754.01-351-38790-11-315-14369-01-351-38791-X(CKB)4100000009152780(MiAaPQ)EBC5888504(OCoLC)1119391219(OCoLC-P)1119391219(FlBoTFG)9781315143699(EXLCZ)99410000000915278020190912d2019 fy 0engurcnu|||unuuutxtrdacontentcrdamediacrrdacarrierMedical image processing reconstruction and analysis concepts and methods /Jiri JanSecond edition.[Place of publication not identified] :CRC Press,2019.1 online resource (599 pages)Signal Processing and Communications ;21-138-31028-X PART I Images as Multidimensional Signals Chapter 1 Analogue (Continuous-Space) Image Representation Chapter 2 Digital Image Representation PART II Imaging Systems as Data Sources Chapter 3 Planar X-Ray Imaging Chapter 5 Magnetic Resonance Imaging Chapter 6 Nuclear Imaging Chapter 7 Ultrasonography Chapter 8 Other Modalities PART III Image Processing and Analysis Chapter 9 Reconstructing Tomographic Images Chapter 10 Image Fusion Chapter 11 Image Enhancement Chapter 12 Image Restoration Chapter 13 Lower-Level Image Analysis Chapter 14 Selected Higher-Level Image Analysis Methods Chapter 15 Medical Image Processing EnvironmentDifferently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis - Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I - Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II - Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III - Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image dataDiagnostic imagingMEDICAL / BiotechnologybisacshTECHNOLOGY / ElectricitybisacshSCIENCE / Research & MethodologybisacshDiagnostic imaging.MEDICAL / BiotechnologyTECHNOLOGY / ElectricitySCIENCE / Research & Methodology616.07/54Jan Jiří1538795OCoLC-POCoLC-PBOOK9910793732603321Medical image processing reconstruction and analysis3789168UNINA04803nam 22008295 450 991041343850332120251113204924.09783030528294303052829410.1007/978-3-030-52829-4(CKB)4100000011354916(DE-He213)978-3-030-52829-4(MiAaPQ)EBC6420126(Au-PeEL)EBL6420126(OCoLC)1178998825(oapen)https://directory.doabooks.org/handle/20.500.12854/34131(PPN)255477988(MiAaPQ)EBC31734367(Au-PeEL)EBL31734367(OCoLC)1492944425(EXLCZ)99410000001135491620200724d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTowards Interoperable Research Infrastructures for Environmental and Earth Sciences A Reference Model Guided Approach for Common Challenges /edited by Zhiming Zhao, Margareta Hellström1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (X, 373 p. 124 illus., 101 illus. in color.) Information Systems and Applications, incl. Internet/Web, and HCI,2946-1642 ;120039783030528287 3030528286 Supporting cross-domain system-level environmental and earth science -- ICT infrastructure for environmental and earth sciences -- Common challenges and requirements -- ENVRI reference model -- Reference model guided engineering -- Semantic and knowledge engineering using ENVRI RM -- Data curation and preservation -- Data cataloguing -- Data identification and citation -- Data processing -- Virtual infrastructure optimization -- Data provenance -- Metadata, semantic linking -- Authentication, Authorization, and Accounting -- Virtual research environment -- Case study: e.g., data subscriptions using elastic Cloud service -- Case study: e.g., D4Science: a VRE solution for RI -- Case study: LifeWatch -- Sustainability -- Future challenges.This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and Earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.Information Systems and Applications, incl. Internet/Web, and HCI,2946-1642 ;12003Application softwareEnvironmentComputers, Special purposeComputer networksSoftware engineeringGeographyComputer and Information Systems ApplicationsEnvironmental SciencesSpecial Purpose and Application-Based SystemsComputer Communication NetworksSoftware EngineeringGeographyApplication software.Environment.Computers, Special purpose.Computer networks.Software engineering.Geography.Computer and Information Systems Applications.Environmental Sciences.Special Purpose and Application-Based Systems.Computer Communication Networks.Software Engineering.Geography.004Zhao Zhimingedt1354840Zhao Zhimingedthttp://id.loc.gov/vocabulary/relators/edtHellström Margaretaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910413438503321Towards Interoperable Research Infrastructures for Environmental and Earth Sciences3358434UNINA