Synopses & Reviews
The genesis of this book goes back to the conference held at the University of Bologna, June 1999, on collaborative work between the University of California at Berkeley and the University of Bologna. The book, in its present form, is a compilation of some of the recent work using geometric partial differential equations and the level set methodology in medical and biomedical image analysis. The book not only gives a good overview on some of the traditional applications in medical imagery such as, CT, MR, Ultrasound, but also shows some new and exciting applications in the area of Life Sciences, such as confocal microscope image understanding.
From the reviews: R. Malladi (ed.) Geometric Methods in Bio-Medical Image Processing "This is an excellent monograph on geometric methods in biomedical image processing. I strongly recommend this book to visualization experts in mathematics, computer science and bio-medical applications and to research students on above topics."--JOURNAL OF COMPUTATIONAL METHODS IN APPLIED MATHEMATICS "This book is based on the conference held at the University of Bologna at June 1999. ... The book gives a good review on some of the traditional applications in medical imagery (CT, MR, Ultrasound). ... This is an excellent monograph on geometric methods in biomedical image processing. I strongly recommend this book to visualization experts in mathematics, computer science and bio-medical applications and to research students on the above topics." (T. E. Simos, Journal of Computational Methods in Sciences and Engineering, Vol. 3 (2), 2003)
Table of Contents
1. Fast Methods for Shape Extraction in Medical and Biomedical Imaging: R. Malladi, J.A. Sethian.- 2. A Geometric Model for Image Analysis in Cytology: C. Ortiz de Solorzano, R. Malladi, S.J. Lockett.- 3. Level Set Models for Analysis of 2D and 3D Echocardiographic Data: A. Sarti, C. Lamberti, R. Malladi.- 4. Active Contour and Segmentation Models Using Geometric PDE's for Medical Imaging: T.F. Chan, L.A. Vese.- 5. Spherical Flattening of the Cortex Surface: A. Elad (Elbaz), R. Kimmel.- 6. Grouping Connected Components Using Minimal Path Techniques: T. Deschamps, L.D. Cohen.- 7. Nonlinear Multiscale Analysis Models for Filtering of 3D + Time Biomedical Images: A. Sarti, K. Mikula, F. Sgallari, C. Lamberti.