Dr. Stephen Aylward
Senior Director of Operations - North Carolina at Kitware Inc
SPIE Involvement:
Editorial Board Member: Journal of Medical Imaging | Author | Editor | Instructor
Area of Expertise:
ITK , Statistical Pattern Recognition , Medical Image Analysis , Vascular Image Analysis , Software Engineering , Open Science
Profile Summary

Stephen R. Aylward, Ph.D. is Senior Director of Operations - North Carolina and a Managing Partner at Kitware, Inc. Dr. Aylward is also an Adjunct Associate Professor in the Department of Computer Science at UNC, Chapel Hill. Stephen founded Kitware’s office in North Carolina in 2006. Its members conduct applied image analysis research and application development in the medical, computer vision, and scientific visualization fields. Dr. Aylward’s research has recently focused on developing model-to-image registration strategies for image guided surgery, vascular network characterization for disease diagnosis, and digital library technologies, e.g., the Insight Journal, http://www.insight-journal.org.

Dr. Aylward is also an Associate Editor of IEEE Transactions on Medical Imaging and the elected president of the Insight Software Consortium – a non-profit agency that promotes free software for medical image analysis. Stephen received a B.S. in computer science in 1988 from Purdue University, an M.S. in artificial intelligence in 1989 from the Georgia Institute of Technology, and a Ph.D. in medical image processing in 1997 from UNC. Prior to joining Kitware, Stephen was a tenured Associate Professor of Radiology at UNC.
Publications (16)

Proceedings Article | 19 May 2016 Paper
Proc. SPIE. 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
KEYWORDS: Cancer, Tumors, Tissues, Imaging systems, Ultrasonography, Image resolution, Transducers, Angiography, In vivo imaging, Acoustics

Proceedings Article | 21 March 2014 Paper
Proc. SPIE. 9034, Medical Imaging 2014: Image Processing
KEYWORDS: Data modeling, Ultrasonography, Databases, Video, Medical imaging, Data acquisition, Transducers, Kidney, Computed tomography, Performance modeling

Proceedings Article | 17 October 2013 Paper
Proc. SPIE. 8855, Optics and Photonics for Information Processing VII

Proceedings Article | 29 March 2013 Paper
Proc. SPIE. 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Surgery, Magnetic resonance imaging, Image segmentation, Control systems, 3D modeling, Shape analysis, Computed tomography, Skull, Neuroimaging, Brain

Proceedings Article | 15 March 2013 Paper
Proc. SPIE. 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy
KEYWORDS: Liver, Ultrasonography, Databases, Magnetic resonance imaging, Image processing, Scanners, Image acquisition, Image analysis, Image registration, Data acquisition

Showing 5 of 16 publications
Proceedings Volume Editor (2)

SPIE Conference Volume | 5 May 2014

SPIE Conference Volume | 18 April 2013

Conference Committee Involvement (15)
Computer-Aided Diagnosis
12 February 2018 | Houston, Texas, United States
Computer-Aided Diagnosis Posters
13 February 2017 | Orlando, FL, United States
Computer-Aided Diagnosis
13 February 2017 | Orlando, Florida, United States
Computer-Aided Diagnosis
28 February 2016 | San Diego, California, United States
Computer-Aided Diagnosis
22 February 2015 | Orlando, Florida, United States
Showing 5 of 15 Conference Committees
Course Instructor
SC1182: ITK in Biomedical Research and Commercial Applications
The Insight Segmentation and Registration Toolkit (www.itk.org) has become a standard in academia and industry for medical image analysis. In recent years, the ITK developers' community has focused on providing programming interfaces to ITK from Python, Java, and Javascript and making ITK available via leading applications such as Slicer and ImageJ. In this course we present best practices for taking advantage of ITK in your imaging research and commercial products. Via interactive examples that attendees can run on their laptops during the course, we show how ITK can speed research and commercial product development. We demonstrate how script writing and interactive GUIs can be used to access the algorithms in ITK and the multitude of ITK extensions that are freely available on the web. We also cover the opportunities and challenges with using open-source software in research and in commercial applications: from prototypes that can lead to venture capital funding to applications for first-in-human trials and ultimately for regulatory approval.
SC538: Medical Image Analysis with ITK and Related Open-Source Software
This course introduces attendees to select open-source efforts in the field of medical image analysis. Opportunities for users and developers are presented. The course particularly focuses on the open-source Insight Toolkit (ITK) for medical image segmentation and registration. The course describes the procedure for downloading and installing the toolkit and covers the use of its data representation and filtering classes. Attendees are shown how ITK can be used in their research, rapid prototyping, and application development. COURSE SCHEDULE: Stephen Aylward, Kitware, Inc. – Chapel Hill Office • The Insight Software Consortium: contributing and using open-source • The architecture and installation of the Insight Toolkit Josh Cates, Univ. of Utah • Segmentation methods of the Insight Toolkit Lydia Ng, Allen Brain Institute • Registration methods of the Insight Toolkit Julien Jomier, Kitware, Inc. – Chapel Hill Office • Image IO using the Insight Toolkit • The Image-Guided Surgery Toolkit (http://www.igstk.org) Stephen Aylward, Kitware, Inc. – Chapel Hill Office • Applications of the Insight Toolkit
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