Clinical Image Analysis

Dr. Kamel Belkacem-Boussaid has joined the clinical image analysis group as biomedical imaging specialist. Dr.Belkacem-Boussaid has worked in both academia and industry prior joining the image analysis group. Dr. Belkacem-Boussaid received his BS degrees in Electrical Engineering from University of Algiers, Algeria and his MS in Electrical Engineering from University of Valeneciennes, France and Ph.D degrees in Electrical Engineering from University Pierre and Marie Curie France. From October 1997-March 2000, I was a post doctoral research associate at Beckman institute, University of Illinois at Urbana-Champaign. Prior joining Ohio State University in February 2009, he worked as senior research scientist and senior research engineer for several high-tech companies specializing in CAD systems and digital asset management software. Most recently, he was senior research scientist at Bioimagene, a Biotechnology company in which he was in charge of the design and development of new algo

Metin Gurcan, PhD, an Assistant Professor of Department of Biomedical Informatics, has been awarded a patent, US# 7,486,812 by the United States Patent and Trademark Office. The patent, entitled, “Shape estimates and temporal registration of lesions and nodules,” covers methods for the automated segmentation and registration of lung nodules from computed tomography images of lung. This is the second patent awarded to Dr. Gurcan, whose first patent (US # 7,236,620) covers methods in detecting early signs of colon cancer from virtual colonoscopy studies. Dr. Gurcan's research interests include image analysis and understanding, computer vision with applications to medicine. Over the last decade, his research contributions have concentrated on computer-aided detection and diagnosis (CAD) of cancer. He has developed CAD systems for different organs such as breast, lung and colon and for different modalities such as mammography and CT. CAD development requires interdisciplinary research.

The OSU Department of Biomedical Informatics Clinical Image Analysis (CIA) Lab is hosting Dr. Erkan Mumcuoglu as a Fulbright visiting professor. Dr. Mumcuoglu is an Associate Professor of Medical Informatics at Middle East Technical University, Ankara, Turkey. He is also among the founders of the same department. Dr. Mumcuoglu's main research interest is Medical Image Analysis: segmentation, registration, computer-aided diagnosis and content-based image retrieval. His Ph.D. degree is from University of Southern California on statistical PET image reconstruction algorithms and modeling. Dr. Mumcuoglu has been collaborating with Dr. Metin Gurcan from our department in the segmentation of retinal mitocondria on electron-microscopy images. Dr. Mumcuoglu is going to give a talk on his research actvities on Feb. 12 at 4 pm as part of the departmental Research In Progress (RIP) Seminar Series.

CIALAB Neuroblastoma research to be published in the Pattern Recognition Journal The article entitled, "Computer-aided prognosis of neuroblastoma onwhole-slide images: Classification of stromal development" has been accepted for publication in the Special Issue on Digital Image Processing and Pattern Recognition Techniques for the Detection of Cancer in Pattern Recognition, one of the most prestigious journal of the Pattern Recognition Society. This study is a part of the computerized neuroblastoma prognosis research being conducted in the CIALAB since 2007. The goal is to develop an image analysis system that will be used in clinical practice to aid pathologists. Subscribers can access the full text online at http://dx.doi.org/10.1016/j.patcog.2008.08.027 . The publication abstract appears below. Computer-aided prognosis of neuroblastoma onwhole-slide images: Classification of stromal development We are developing a computer-aided prognosis system for neuroblastoma (NB), a c