Biomedical Image Guidance - Robotics Institute Carnegie Mellon University
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Biomedical Image Guidance
Our research into the guidance of biomedical tools applies novel optics and computer vision algorithms to the design and real-time analysis of biomedical imaging modalities such as OCT and ultrasound.

The Biomedical Image Guidance (BIG) Lab conducts research in biomedical optics, image analysis, and visualization, especially for intraoperative guidance and also for diagnosis. We use computer vision to assist human placement of biomedical scanners, and we use novel visualization of biomedical images to better guide human manipulation of tools. Applications are wide-ranging, from computer-vision for tracking ultrasound probes in anatomical coordinates to real-time microsurgical guidance systems utilizing autonomous image analysis and augmented-reality visualization of optical coherence tomography, coupled with psychophysics analysis of human perception and action when working under magnification.

Displaying 15 Publications

2024
Master's Thesis, Tech. Report, CMU-RI-TR-24-11, May, 2024
2023
2022
Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Rishikesh Magar, Mrunal Prashant Vaze, Michael Yousefpour, Ricardo Luis Rodriguez, and John Michael Galeotti
Journal Article, Medical Image Analysis, February, 2022
2021
Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. DeBoisblanc, Ricardo Luis Rodriguez, and John Michael Galeotti
Workshop Paper, MICCAI '21 Workshop on Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19, November, 2021
Master's Thesis, Tech. Report, CMU-RI-TR-21-60, Robotics Institute, Carnegie Mellon University, August, 2021
Master's Thesis, Tech. Report, CMU-RI-TR-21-36, Robotics Institute, Carnegie Mellon University, August, 2021
Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, and John Michael Galeotti
Conference Paper, Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI '21), May, 2021
2019
Journal Article, Biomedical Optics Express, Vol. 10, No. 10, pp. 5291 - 5324, September, 2019
2018
Chengqian Che, Ruogu Lin, Xiangrui Zeng, Karim Elmaaroufi, John Galeotti, and Min Xu
Journal Article, Machine Vision and Applications: Special Issue on Learning and Understanding of Biomedical Big Data, Vol. 29, No. 8, pp. 1227 - 1236, November, 2018
Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, and John Galeotti
Conference Paper, Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI '18), pp. 746 - 754, September, 2018

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