KitwareKitware Team

Andinet Enquobahrie is a research and development engineer at Kitware. He is involved in development of image visualization and analysis tools for medical applications. He is one of the developers of the Image Guided Surgery Application (IGSTK) toolkit, a cross platform open source C++ software library that provides basic components needed to develop image-guided surgery applications.

Dr. Enquobahrie received his PhD in Electrical and Computer Engineering from Cornell University. While at Cornell, as a member of the Vision and Image Analysis (VIA) Group, he worked in the algorithm development of computer aided diagnosis applications for lung cancer. His dissertation work focused on CT scan based automated techniques for early lung cancer detection. The VIA group provides technical support for IELCAP (International Early Lung Cancer Program) , an international collaboration of institutions and experts on lung cancer from around the world. In addition, he was the technical member of the LIDC (Lung Imaging Database Consortium) research group that is a consortium of five academic institutions working together to develop an image database for the development and evaluation of CAD algorithms for detection of pulmonary nodules in CT scans.

At Ohio State University, where he received his Masters degree, he was a member of the Digital Photogrammetry Group, a world leader in cutting edge research in image processing and computer vision techniques applied to photogrammetry applications. He was involved in development of multisensor aerial triangulation and automated road sign extraction packages for digital map production. Dr. Enquobahrie received his BS degree in electrical engineering from Addis Ababa University, Ethiopia and has worked in several organizations including Afcor/IBM-Ethiopia and NCR-Ethiopia.

Book Contributions

Andinet A. Enquobahrie, "Automated Detection of Pulmonary Nodules from Whole Lung Helical CT Scans", Dissertation thesis, School of Electrical and Computer Engineering, Cornell University, 2007, pages 184.

IGSTK Team, "IGSTK: The Book", Signature Book Printing, Gaithersburg, MD 2007.

Anthony P. Reeves and Andinet Enquobahrie, "New Directions in Spiral CT Image Processing and Computer Aided Diagnosis", Book chapter, Hirsch FR, Bunn Jr PA, Mulshine JL & Kato B.,"IASLC Textbook of Prevention and Detection of Early Lung Cancer",Taylor & Francis, 2005.

Scientific Conference and Journal Articles

Andinet A. Enquobahrie, Anthony P. Reeves, David F. Yankelevitz, and Claudia I. Henschke, "Automated Detection of Small Solid Pulmonary Nodules in Whole Lung CT Scans", (in press), Journal of Academic Radiology 2007.

Peng Cheng, Luis Ibanez, David Gobbi, Kevin Gary, Stephen Aylward, Julien Jomier, Andinet Enquobahrie, Hui Zhang, Hee-su Kim, M. Brian Blake, Kevin Cleary, "The image-guided surgery toolkit IGSTK: an open source C++ software toolkit", (in press) Proceedings of the SPIE 2007.

P. Cheng, A. Enquobahrie, R. Stenzel, R. Lin, H. Zhang, Z. Yaniv, H. Kim, K. Cleary, "Robot Assisted Needle Placement: Developed Using Image Guided Surgery Toolkit (IGSTK)", Open Source Workshop MICCAI 2006.

Peng Cheng, Hiu Zhang, Hee-su Kim, Kevin Gary, M. Brian Blake, David GObbi, Stephen Aylward, Julien Jomier, Andinet Enquobahrie, Rick Avila, Luis Ibanez, "IGSTK: Framework and Example Application Using an Open Source Toolkit for Image-Guided Surgery Applications", Proceedings of SPIE, 2006

Andinet A. Enquobahrie, Anthony P. Reeves, David F. Yankelevitz, and Claudia I. Henschke, "Automated Detection of Pulmonary Nodules from Whole Lung Helical CT Scans: Performance comparison for isolated and attached nodules", Proceedings of the SPIE 2004; 5370:791-800

Andinet A. Enquobahrie, Young-Ran Lee and Ayman Habib, "Radiometric Restoration and segmentation of Color Images", ISPRS. vol XXXIII, Commission III Working Group, Amsterdam, 2000.

Ayman Habib, Andinet Asmamaw, Devin Kelley, "Utilizing Straight Lines in Object Space for Linear Array Scanner Imagery", Departmental report 450, department report, OSU, 1999

Ayman Habib, Devin Kelley, Andinet Asmamaw, "New Approach to solving matching problems in Photogrammetry", (ISPRS), vol XXXIII, Commission III, Working Group, Amsterdam 2000.



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