Image fusion in preclinical applications. ([2019])
- Record Type:
- Book
- Title:
- Image fusion in preclinical applications. ([2019])
- Main Title:
- Image fusion in preclinical applications
- Further Information:
- Note: Claudia Kuntner-Hannes, York Haemisch, editors.
- Editors:
- Kuntner-Hannes, Claudia
Haemisch, York - Contents:
- Intro; Preface; Contents; 1: High-Level Story: Data Analysis in Multimodal Preclinical Imaging-Methods and Tools; 1.1 Introduction; 1.2 Software Options; 1.3 Extraction of Data for Quantitation; 1.3.1 Preprocessing; 1.3.1.1 Transforms; Linear; Nonlinear; 1.3.1.2 Similarity Metrics; 1.3.1.3 Image Registration Pitfalls; MR-Based Susceptibility Artifact Correction; Application of Image Registration for Quantitative Extraction; PET/SPECT Dopamine Example; 1.3.2 Atlases; 1.3.2.1 Multi-atlas Segmentation; 1.3.2.2 Brain Region Segmentation Without Soft Tissue Contrast 1.4 Combining Multimodal Data to Provide a Comprehensive Picture1.4.1 Image Fusion Visualization; 1.4.1.1 Volume Rendering; 1.5 Applications of Preclinical Image Fusion; 1.5.1 Cryofluoresence Tomography (CFT); 1.5.2 Integration of Multimodal Imaging with Machine Learning; 1.6 Conclusion; References; 2: Instrumentation Challenges in (S)PE(C)T Systems; 2.1 Introduction; 2.2 Instrumentation in PET; 2.2.1 Basic Components of a Preclinical PET Module; 2.2.2 Event Positioning; 2.2.3 Readout Strategies; 2.2.4 Focus on MRI-Driven Developments 2.2.5 Performance Evaluation for Preclinical PET2.3 Instrumentation in SPECT; 2.3.1 Overview of Instrumentation Advances; 2.3.2 Scintillation Versus Direct Conversion; 2.3.3 Focus on Collimation; 2.3.4 Rotating Versus Stationary SPECT Systems; 2.3.5 Multimodality Systems; 2.4 Summary; References; 3: Influence of Animal Handling and Housing on Multimodality Imaging; 3.1 Introduction:Intro; Preface; Contents; 1: High-Level Story: Data Analysis in Multimodal Preclinical Imaging-Methods and Tools; 1.1 Introduction; 1.2 Software Options; 1.3 Extraction of Data for Quantitation; 1.3.1 Preprocessing; 1.3.1.1 Transforms; Linear; Nonlinear; 1.3.1.2 Similarity Metrics; 1.3.1.3 Image Registration Pitfalls; MR-Based Susceptibility Artifact Correction; Application of Image Registration for Quantitative Extraction; PET/SPECT Dopamine Example; 1.3.2 Atlases; 1.3.2.1 Multi-atlas Segmentation; 1.3.2.2 Brain Region Segmentation Without Soft Tissue Contrast 1.4 Combining Multimodal Data to Provide a Comprehensive Picture1.4.1 Image Fusion Visualization; 1.4.1.1 Volume Rendering; 1.5 Applications of Preclinical Image Fusion; 1.5.1 Cryofluoresence Tomography (CFT); 1.5.2 Integration of Multimodal Imaging with Machine Learning; 1.6 Conclusion; References; 2: Instrumentation Challenges in (S)PE(C)T Systems; 2.1 Introduction; 2.2 Instrumentation in PET; 2.2.1 Basic Components of a Preclinical PET Module; 2.2.2 Event Positioning; 2.2.3 Readout Strategies; 2.2.4 Focus on MRI-Driven Developments 2.2.5 Performance Evaluation for Preclinical PET2.3 Instrumentation in SPECT; 2.3.1 Overview of Instrumentation Advances; 2.3.2 Scintillation Versus Direct Conversion; 2.3.3 Focus on Collimation; 2.3.4 Rotating Versus Stationary SPECT Systems; 2.3.5 Multimodality Systems; 2.4 Summary; References; 3: Influence of Animal Handling and Housing on Multimodality Imaging; 3.1 Introduction: History and Hardware; 3.2 Imaging Chambers: Early Development; 3.3 Imaging Chambers: Second-Generation Development; 3.4 Imaging Chambers: Future Development; 3.5 Image Fusion and Analysis 3.6 Handling and Housing Factors3.6.1 Acute Imaging Factors; 3.6.2 Chronic Imaging-Related Factors; 3.7 Summary; References; 4: Multimodal Optoacoustic Imaging; 4.1 Introduction; 4.1.1 Optical Imaging; 4.1.2 Alexander Graham Bell and the Discovery of the Optoacoustic (Photoacoustic) Effect; 4.1.3 The Case for Optoacoustic Imaging: Listening to Light; 4.2 Basic Principles; 4.2.1 Initial Pressure Generation; 4.2.2 Optoacoustic Wave Equation and Forward Solution; 4.2.3 Optoacoustic Frequencies; 4.2.4 Acoustic Attenuation; 4.2.5 Tomographic Reconstruction Techniques 4.3 Optoacoustic Macroscopy (Tomography)4.3.1 Introduction; 4.3.2 Workings of Optoacoustic Tomography; 4.3.3 Example Setups; 4.3.4 Example Applications; 4.3.5 Multimodal Tomographic Imaging; 4.3.6 Conclusion; 4.4 Optoacoustic Mesoscopy; 4.4.1 Introduction; 4.4.2 Scanning Schemes; 4.4.3 Spatial Resolution; 4.4.4 Example Applications; 4.4.5 Multimodal Mesoscopic Imaging; 4.4.6 Conclusion; 4.5 Optoacoustic Microscopy; 4.5.1 Introduction; 4.5.2 Theory; 4.5.3 Optoacoustic Microscopy Setups; 4.5.3.1 Epi-illumination Mode OAM; 4.5.3.2 Transmission Mode OAM … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 616.07/54
Diagnostic imaging -- Data processing
Diagnostic imaging -- Digital techniques
Diagnostic imaging -- Data processing
Diagnostic imaging -- Digital techniques
Electronic books - Languages:
- English
- ISBNs:
- 9783030029739
3030029735 - Related ISBNs:
- 9783030029722
3030029727 - Notes:
- Note: Print version record.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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