Clinical Image Analysis

CIALAB's work on Follicular Lymphoma for faster and more consistent diagnoses was recognized in a press release by the Ohio Supercomputer Center. The full article can be found at http://www.osc.edu/press/releases/2011/lymphoma.shtml

Barriers and facilitators to adoption of soft copy interpretation from the user perspective: Lessons learned from filmless radiology for slideless pathology Emily S Patterson 1 , Mike Rayo 1 , Carolina Gill 2 , Metin N Gurcan 3 1 Division of Health Information Management and Systems, School of Allied Medical Professions, College of Medicine, The Ohio State University, Columbus, OH 43210, USA 2 Department of Industrial, Interior and Visual Communication Design, The Ohio State University, Columbus, OH 43210, USA 3 Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA Background: Adoption of digital images for pathological specimens has been slower than adoption of digital images in radiology, despite a number of anticipated advantages for digital images in pathology. In this paper, we explore the factors that might explain this slower rate of adoption. Materials and Method: Semi-structured interviews on barriers and facilitators to ...

Dr. Philippe Belhomme is visiting CIALAB from CAEN, France. During his visit Dr. Belhomme will be available to provide valuable input on the lab's current research projects.

Dr. Hatice Cinar Akakin has joined the Clinical Image Analysis group as a Biomedical Imaging Specialist. Dr. Cinar Akakin received her BS and MS degrees in Electrical and Electronics Engineering Department of Eskisehir Osmangazi University and Anadolu University, in 2000 and 2003 respectively. She got her PhD degree from Electrical and Electronics Engineering Department of Bogazici University, Turkey, in 2010. She was a teaching and research assistant at Bogazici University, Signal and Image Processing Laboratory (BUSIM) from 2004 to 2010. During her PhD, she got experience in developing algorithms for face image analysis from low level image processing to high level interpretations. Dr. Cinar Akakin’s research interests are in the areas of computer vision, image and video analysis and machine learning.

Metin Gurcan, Associate Professor of BMI, has been elected to the editorial board of the Journal of Pathology Informatics ( http://www.jpathinformatics.org/ ). The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics.

Undergraduate student Amie Draper has received a Choose Ohio First Scholarship through the Ohio Bioinformatics Consortium for the 2010-2011 academic year. The program is aimed towards providing both undergraduate and graduate students who are interested in pursuing careers in bioinformatics or related fields with scholarships and educational opportunities. Scholarships are awarded to those who demonstrate academic excellence and a strong interest in computation and biology/chemistry.

A paper by Clinical Image Analysis Lab (CIA-LAB) researchers, Drs Gurcan and Sertel, in collaboration with Indiana University-Purdue University Indianapolis has received the best paper award in Bioinformatics and Biomedical Applications track at the International Conference on Pattern Recognition. The paper entitled “A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides” competed with other 2140 papers for this recognition. The award-winning paper deals with histopathological image analysis of breast-cancer tissues with the aid of computers. The CIA-LAB at the Department of Biomedical Informatics (www.bmi.osu.edu/cialab ) designs and develops algorithms, tools, techniques for the computer-assisted analysis and interpretation of medical images .