Dr. Ziv R. Yaniv
Senior Imaging Scientist at National Institute of Allergy and Infectious Diseases
SPIE Involvement:
Conference Program Committee | Author | Editor | Instructor
Websites:
Publications (18)

Proceedings Article | 12 March 2018 Presentation + Paper
Proc. SPIE. 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
KEYWORDS: Image segmentation, Magnetic resonance imaging, 3D modeling, Cardiovascular magnetic resonance imaging, Image registration, Image processing algorithms and systems, Medical imaging

Proceedings Article | 24 March 2016 Paper
Proc. SPIE. 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
KEYWORDS: Image registration, Cameras, Algorithm development, New and emerging technologies, Medical devices, Rigid registration, Skull, Light sources and illumination, Data acquisition, Magnetic resonance imaging, Visualization

Proceedings Article | 18 March 2015 Paper
Proc. SPIE. 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
KEYWORDS: Calibration, Optical spheres, Adaptive optics, Optical tracking, Data acquisition, Robotics, Data modeling, Image registration, Head, Haptic technology

Proceedings Article | 12 March 2014 Paper
Proc. SPIE. 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
KEYWORDS: X-rays, Cameras, Fluoroscopy, X-ray imaging, Imaging systems, Calibration, Electromagnetic simulation, Collimation, 3D modeling, Control systems

Proceedings Article | 15 March 2013 Paper
Proc. SPIE. 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling
KEYWORDS: X-rays, X-ray imaging, Image registration, Technetium, 3D image processing, Magnetic resonance imaging, X-ray computed tomography, 3D acquisition, Control systems, Surgery

Showing 5 of 18 publications
Proceedings Volume Editor (4)

Conference Committee Involvement (14)
Image-Guided Procedures, Robotic Interventions, and Modeling
16 February 2021 | San Diego, California, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
16 February 2020 | Houston, Texas, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
17 February 2019 | San Diego, California, United States
Image-Guided Procedures, Robotic Interventions, and Modeling
12 February 2018 | Houston, Texas, United States
Image-Guided Procedures, Robotic Interventions, and Modeling Posters
14 February 2017 | Orlando, FL, United States
Showing 5 of 14 Conference Committees
Course Instructor
SC1236: SimpleITK Jupyter Notebooks: Biomedical Image Analysis in Python
SimpleITK is a simplified programming interface to the algorithms and data structures of the Insight Segmentation and Registration Toolkit (ITK). It supports bindings for multiple programming languages including C++, Python, R, Java, C#, Lua, Ruby and TCL. Combining SimpleITK’s Python binding with the Jupyter notebook web application creates an environment which facilitates collaborative development of biomedical image analysis workflows. In this course, we will use a hands-on approach utilizing Python based SimpleITK Jupyter notebooks to explore and experiment with various toolkit features. Participants will follow along using their personal laptops, enabling them to explore the effects of changes and settings not covered by the instructor. We start by introducing the toolkit’s two basic data elements, Images and Transformations. We then combine the two, illustrating how to perform image resampling. Having mastered the concept of resampling, we show how to use SimpleITK as a tool for image preparation and data augmentation for deep learning via spatial and intensity transformations. We then turn our focus to the toolkit’s registration framework, exploring various components including: optimizer selection, the use of linear and deformable transformations, the embedded multi-resolution framework, self-calibrating optimizers and the use of callbacks for registration progress monitoring. Finally, we illustrate the use of a variety of SimpleITK filters to implement an image analysis workflow that includes segmentation and shape analysis.
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