Image Guided Neurosurgery

Mohamed N. Ahmed

In this talk, we will introduce the field of Image Guide Neurosurgery and
its basic components and applications. Image guided neurosurgery uses
concepts of computer science and stereotactic neurosurgery to bring
high-resolution neuroimaging modalities into the OR as interactive
navigational aids in surgery. Its goal is to make neurosurgery safer and
more precise, as well as to broaden the scope of surgically treatable
pathology. The central idea of image-guided neurosurgery is the
transformation of standard two-dimensional (2-D) neuroimages into a
three-dimensional (3-D)model that can be used for pre-operative planning
and intra-operative neuronavigation. The central process of image guided
surgery is:  1) image acquisition and pre-processing, 2) segmentation, 3)
rendering and display, 4) registration, and 5) intra-operative
application. The most powerful use of image guidance involves the
integration of multiple imaging modalities into a single 3-D model which
contains the critical information from each of the different modalities
(for example, bone detail from CT and brain/tumor detail from MRI) all
displayed as one, easily understood image construct


Biography

Mohamed N. Ahmed is a research scientist at the CVIP laboratory. He
received his B.S. and M.S. degrees in Biomedical Eng. with distinction and
honors from Cairo Univ. in 1989 and 1992, respectively. He received his
Ph.D. in Computer Science and Engineering from the University of
Louisville in December 1997. From 1989 till 1992, Dr Ahmed was an
instructor at the systems and Biomedical Engineering Dept., Cairo
University. He was also a part-time consultant at IBM Cairo Scientific
center, Egypt. In 1992, He was awarded a doctoral scholarship from the
French government. He then joined the University of Louisville Computer
Science and Engineering Program in 1993 where he served as a teaching and
research assistant from 1993 till 1997. Dr Ahmed received awards of
excellence from the CVIP laboratory and the University of Louisville in
1996 and 1997, respectively. He is a member of IEEE and EMBS societies.
His research interests include 3D Visualization, Computer Vision, Medical
Imaging, Geometric Modeling, Computer Graphics and Neural Networks.