Quantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters. (2016)

• Record Type: Book
• Further Information: Note: Kristen M. Meiburger.
• Other Names: Meiburger, Kristen M
• Contents: Preface; Contents; 1 Introduction; 1.1 Quantitative Imaging; 1.1.1 Ultrasound; 1.1.2 CT; 1.1.3 MRI; 1.1.4 Nuclear Medicine; 1.1.5 Photoacoustics; 1.2 Ultrasounds; 1.2.1 Ultrasound Imaging; 1.2.2 Contrast Enhanced Ultrasound Imaging (CEUS); 1.3 Photoacoustics; 1.3.1 The Photoacoustic Effect; 1.3.2 Penetration Depth and Spatial Resolution; 1.3.3 Photoacoustic Imaging Modalities; 1.4 Disease Models and Their Architectural and Vascular Parameters; 1.4.1 Atherosclerosis and the Common Carotid Artery (CCA); 1.4.2 Cancer and Angiogenesis; References. 2 Automated IMT Carotid Artery Far Wall Segmentation Techniques2.1 Introduction; 2.2 Materials and Methods; 2.2.1 Performance Metric Evaluation for Carotid Artery Recognition Systems; 2.2.2 GIMT: Generalized IMT Measurement in Carotid Ultrasound Images with Plaque: An Automated Method; 2.2.3 Validation of the Techniques and Association of the Automated IMT Measurement with Clinical Parameters; 2.3 Results; 2.3.1 Carotid Artery Recognition Systems Results; 2.3.2 GIMT Results; 2.3.3 Validation and Association Results; 2.4 Discussion; 2.5 Conclusions; References. 3 Validation of the Carotid Intima-Media Thickness Variability (IMTV)3.1 Introduction; 3.2 Materials and Methods; 3.2.1 Evaluation of IMT and IMT Variability (IMTV); 3.2.2 Simulation of Ultrasound Test Images; 3.2.3 Manual and Automated Lumen-Intima and Media-Adventitia Tracing; 3.2.4 Statistical Analysis; 3.3 Results; 3.4 Discussion; 3.5 Conclusions; References; 4 Quantitative Assessment of Cancer Vascular Architecture by Skeletonization of 3D CEUS Images: Role of Liposomes and Microbubbles; 4.1 Introduction; 4.2 Methods; 4.2.1 Liposomes Preparation; 4.2.2 Experimental Protocol. 4.2.3 Pre-processing and Skeletonization Strategy4.2.4 Vascular Pattern Characterization; 4.3 Results; 4.4 Discussion; 4.5 Conclusions; References; 5 Skeletonization Based Blood Vessel Quantification Algorithm for In Vivo Photoacoustic 3D Images; 5.1 Introduction; 5.2 Materials and Methods; 5.2.1 Tissue Mimicking Vessel Phantom for Combined Ultrasound and Photoacoustic Imaging; 5.2.2 Burn Injury Model; 5.2.3 Ultrasound and Photoacoustic Imaging; 5.2.4 Image Processing; 5.2.5 Skeletonization; 5.2.6 Vascular Pattern Characterization; 5.3 Results; 5.3.1 Phantom; 5.3.2 In Vivo Study. 5.4 Discussion5.5 Conclusions; References; Conclusions and Final Remarks.
• Publisher Details: Cham, SWITZERLAND : Springer
• Publication Date: 2016
• Extent: 1 online resource (115)
• Subjects: 620; Engineering; Ultrasonics; Ultrasonic imaging; Ultrasonic imaging; Ultrasonics; Computers -- Computer Graphics; Technology & Engineering -- Engineering (General); Science -- Life Sciences -- Biophysics; Medical -- Ultrasonography; Image processing; Biomedical engineering; Life sciences: general issues; Ultrasonics; Computer vision; Biomedical engineering; Diagnosis, Ultrasonic; Technology & Engineering -- Electronics -- General; Imaging systems & technology; Electronic books
• Languages: English
• ISBNs: 3319489984; 9783319489988
• Related ISBNs: 3319489976; 9783319489971
• Notes: Note: Includes bibliographical references.; Note: Print version record.
• Access Rights: 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).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.