Dhawan Medical Image Analysis

2. Auflage 2011
ISBN: 978-0-470-92289-7
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 400 Seiten, E-Book

Reihe: IEEE Press Series on Biomedical Engineering

The expanded and revised edition will split Chapter 4 to includemore details and examples in FMRI, DTI, and DWI for MR imagemodalities. The book will also expand ultrasound imaging to 3-Ddynamic contrast ultrasound imaging in a separate chapter.
A new chapter on Optical Imaging Modalities elaboratingmicroscopy, confocal microscopy, endoscopy, optical coherenttomography, fluorescence and molecular imaging will be added.Another new chapter on Simultaneous Multi-Modality Medical Imagingincluding CT-SPECT and CT-PET will also be added. In the imageanalysis part, chapters on image reconstructions and visualizationswill be significantly enhanced to include, respectively, 3-D faststatistical estimation based reconstruction methods, and 3-D imagefusion and visualization overlaying multi-modality imaging andinformation. A new chapter on Computer-Aided Diagnosis and imageguided surgery, and surgical and therapeutic intervention will alsobe added.
A companion site containing power point slides, authorbiography, corrections to the first edition and images from thetext can be found here: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/
Send an email to: [e-mail] to obtaina solutions manual. Please include your affiliation in youremail.

Autoren/Hrsg.

Dhawan, Atam P.

Über Autor(innen)

ATAM P. DHAWAN, PhD, is Distinguished Professor in the Electrical and Computer Engineering Department at New Jersey Institute of Technology. He teaches courses in biomedical engineering and has supervised approximately fifty graduate students, including twenty-one PhD students. Dr. Dhawan is a Fellow of the IEEE and the recipient of numerous national and international awards. He has published more than 200 research articles in refereed journals, conference proceedings, and edited books. Dr. Dhawan has chaired numerous study sections and review panels for the National Institutes of Health in biomedical computing and medical imaging and health informatics. His current research interests are medical imaging, multi-modality medical image analysis, multi-grid image reconstruction, wavelets, genetic algorithms, neural networks, adaptive learning, and pattern recognition.