1st Edition
Image Processing with MATLAB Applications in Medicine and Biology
Medical Imaging Systems
Fundamental Tools for Image Processing and Analysis
Probability Theory for Stochastic Modeling of Images
Two-Dimensional Fourier Transform
Nonlinear Diffusion Filtering
Intensity-Based Image Segmentation
Image Segmentation by Markov Random Field Modeling
Deformable Models
Image Analysis
Application 1: Quantification of Green Fluorescent Protein eXpression in Live Cells: ProXcell
Application 2: Calculation of Performance Parameters of Gamma Cameras and SPECT Systems
Application 3: Analysis of Islet Cells Using Automated Color Image Analysis
Appendix A: Notation
Appendix B: Working with DICOM Images
Appendix C: Medical Image Processing Toolbox
Appendix D: Description of Image Data
Biography
Omer Demirkaya, Musa H. Asyali, Prasanna K. Sahoo






