LEADER 05760nam 2200769 a 450 001 9910141264303321 005 20210604083424.0 010 $a9786613621665 010 $a9781280591839 010 $a1280591838 010 $a9781118271926 010 $a1118271920 010 $a9781118271933 010 $a1118271939 010 $a9781118271902 010 $a1118271904 035 $a(CKB)2670000000175441 035 $a(EBL)848519 035 $a(SSID)ssj0000632653 035 $a(PQKBManifestationID)11428869 035 $a(PQKBTitleCode)TC0000632653 035 $a(PQKBWorkID)10610344 035 $a(PQKB)10798138 035 $a(Au-PeEL)EBL848519 035 $a(CaPaEBR)ebr10558082 035 $a(CaONFJC)MIL362166 035 $a(OCoLC)794620155 035 $a(CaSebORM)9781118271926 035 $a(MiAaPQ)EBC848519 035 $a(Perlego)1002747 035 $a(EXLCZ)992670000000175441 100 $a20111012d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiomedical imaging $eprinciples and applications /$fedited by Reiner Salzer 205 $a1st edition 210 $aHoboken $cJohn Wiley & Sons$d2012 215 $a1 online resource (445 p.) 300 $aDescription based upon print version of record. 311 08$a9780470648476 311 08$a0470648473 320 $aIncludes bibliographical references and index. 327 $aBIOMEDICAL 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 Data 327 $a1.3.4.1 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 Averaging 327 $a2.5.3.2 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 Radiography 327 $a3.3.1.2 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 CT 327 $a4.3 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 Tomography 327 $a4.4.2 Radiation Dose in Typical Clinical Applications and Methods for Dose Reduction 330 $a"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. 606 $aDiagnostic imaging 606 $aBiomedical materials$xImaging compatibility 606 $aSpectrum analysis 615 0$aDiagnostic imaging. 615 0$aBiomedical materials$xImaging compatibility. 615 0$aSpectrum analysis. 676 $a616.07/54 701 $aSalzer$b Reiner$f1942-$0909419 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141264303321 996 $aBiomedical imaging$92034778 997 $aUNINA