05760nam 2200769 a 450 991014126430332120210604083424.0978661362166597812805918391280591838978111827192611182719209781118271933111827193997811182719021118271904(CKB)2670000000175441(EBL)848519(SSID)ssj0000632653(PQKBManifestationID)11428869(PQKBTitleCode)TC0000632653(PQKBWorkID)10610344(PQKB)10798138(Au-PeEL)EBL848519(CaPaEBR)ebr10558082(CaONFJC)MIL362166(OCoLC)794620155(CaSebORM)9781118271926(MiAaPQ)EBC848519(Perlego)1002747(EXLCZ)99267000000017544120111012d2012 uy 0engur|n|---|||||txtccrBiomedical imaging principles and applications /edited by Reiner Salzer1st editionHoboken John Wiley & Sons20121 online resource (445 p.)Description based upon print version of record.9780470648476 0470648473 Includes bibliographical references and index.BIOMEDICAL IMAGING; CONTENTS; Preface; Contributors; 1 Evaluation of Spectroscopic Images; 1.1 Introduction; 1.2 Data Analysis; 1.2.1 Similarity Measures; 1.2.2 Unsupervised Pattern Recognition; 1.2.2.1 Partitional Clustering; 1.2.2.2 Hierarchical Clustering; 1.2.2.3 Density-Based Clustering; 1.2.3 Supervised Pattern Recognition; 1.2.3.1 Probability of Class Membership; 1.3 Applications; 1.3.1 Brain Tumor Diagnosis; 1.3.2 MRS Data Processing; 1.3.2.1 Removing MRS Artifacts; 1.3.2.2 MRS Data Quantitation; 1.3.3 MRI Data Processing; 1.3.3.1 Image Registration; 1.3.4 Combining MRI and MRS Data1.3.4.1 Reference Data Set1.3.5 Probability of Class Memberships; 1.3.6 Class Membership of Individual Voxels; 1.3.7 Classification of Individual Voxels; 1.3.8 Clustering into Segments; 1.3.9 Classification of Segments; 1.3.10 Future Directions; References; 2 Evaluation of Tomographic Data; 2.1 Introduction; 2.2 Image Reconstruction; 2.3 Image Data Representation: Pixel Size and Image Resolution; 2.4 Consequences of Limited Spatial Resolution; 2.5 Tomographic Data Evaluation: Tasks; 2.5.1 Software Tools; 2.5.2 Data Access; 2.5.3 Image Processing; 2.5.3.1 Slice Averaging2.5.3.2 Image Smoothing2.5.3.3 Coregistration and Resampling; 2.5.4 Visualization; 2.5.4.1 Maximum Intensity Projection (MIP); 2.5.4.2 Volume Rendering and Segmentation; 2.5.5 Dynamic Tomographic Data; 2.5.5.1 Parametric Imaging; 2.5.5.2 Compartment Modeling of Tomographic Data; 2.6 Summary; References; 3 X-Ray Imaging; 3.1 Basics; 3.1.1 History; 3.1.2 Basic Physics; 3.2 Instrumentation; 3.2.1 Components; 3.2.1.1 Beam Generation; 3.2.1.2 Reduction of Scattered Radiation; 3.2.1.3 Image Detection; 3.3 Clinical Applications; 3.3.1 Diagnostic Devices; 3.3.1.1 Projection Radiography3.3.1.2 Mammography3.3.1.3 Fluoroscopy; 3.3.1.4 Angiography; 3.3.1.5 Portable Devices; 3.3.2 High Voltage and Image Quality; 3.3.3 Tomography/Tomosynthesis; 3.3.4 Dual Energy Imaging; 3.3.5 Computer Applications; 3.3.6 Interventional Radiology; 3.4 Radiation Exposure to Patients and Employees; References; 4 Computed Tomography; 4.1 Basics; 4.1.1 History; 4.1.2 Basic Physics and Image Reconstruction; 4.2 Instrumentation; 4.2.1 Gantry; 4.2.2 X-ray Tube and Generator; 4.2.3 MDCT Detector Design and Slice Collimation; 4.2.4 Data Rates and Data Transmission; 4.2.5 Dual Source CT4.3 Measurement Techniques4.3.1 MDCT Sequential (Axial) Scanning; 4.3.2 MDCT Spiral (Helical) Scanning; 4.3.2.1 Pitch; 4.3.2.2 Collimated and Effective Slice Width; 4.3.2.3 Multislice Linear Interpolation and z-Filtering; 4.3.2.4 Three-Dimensional Backprojection and Adaptive Multiple Plane Reconstruction (AMPR); 4.3.2.5 Double z-Sampling; 4.3.3 ECG-Triggered and ECG-Gated Cardiovascular CT; 4.3.3.1 Principles of ECG-Triggering and ECG-Gating; 4.3.3.2 ECG-Gated Single-Segment and Multisegment Reconstruction; 4.4 Applications; 4.4.1 Clinical Applications of Computed Tomography4.4.2 Radiation Dose in Typical Clinical Applications and Methods for Dose Reduction"This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may mean fewer animal lab tests and clinical trials"--Provided by publisher.Diagnostic imagingBiomedical materialsImaging compatibilitySpectrum analysisDiagnostic imaging.Biomedical materialsImaging compatibility.Spectrum analysis.616.07/54Salzer Reiner1942-909419MiAaPQMiAaPQMiAaPQBOOK9910141264303321Biomedical imaging2034778UNINA