OpenIGTLink: an open network protocol for image-guided therapy environment

By J. Tokuda, Gregory S. Fischer, X. Papademetris, Ziv R. Yaniv, Luis Ibáñez, Patrick Cheng, Haiying Liu, J. Blevins, J. Arata, A. Golby and 6 more. The international journal of medical robotics + computer assisted surgery : MRCAS, 2009

367 citations recorded by the source corpus.

With increasing research on system integration for image‐guided therapy (IGT), there has been a strong demand for standardized communication among devices and software to share data such as target positions, images and device status.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Radiation

View Paper: https://www.semanticscholar.org/paper/2f8a99c67e187b7d451e8acf5ea6038f02e3442d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Daniel Richard Leff
2. Nassir Navab
3. Gregory Hager
4. Russell H. Taylor
5. Ron Kikinis

In Computer Vision and Pattern Recognition

1. Ozanan R. Meireles
2. Lena Maier-Hein
3. Jayashree Kalpathy-Cramer
4. Nassir Navab
5. Gregory Hager
6. Russell H. Taylor
7. Milan Sonka
8. Pierre Jannin

Citations in the corpus

• 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (2012, methodology): “Finally, Slicer supports OpenIGTLink network communication interface that has been widely used in the interventional applications to communicate with instrument trackers, imaging and robotic devices [50].”
• Surgical data science – from concepts toward clinical translation (2020, background): “OpenIGTLink (Tokuda et al., 2009), for example, started as a communication protocol for Image Guided Therapy (IGT) applications.”
• PLUS: open-source toolkit for ultrasound-guided intervention systems (2014, neutral): “[34] reported that the OpenIGTLink transfer was 8ms for 256KB image frames.”
• Raven-II: An Open Platform for Surgical Robotics Research (2013, methodology): “A lab having medical imaging expertise can use state of the art and powerful packages such as OpenIGTlink [17] to easily integrate image guidance into the Raven Linux/ROS-based software control system.”