/Biomedical Image Guidance

Biomedical Image Guidance

Portrait of Biomedical Image Guidance
Lab Head: John Galeotti
Mailing Address

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. 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.

Displaying 7 Publications
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images
Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla and John Galeotti

Conference Paper, International Conference on Medical Image Computing and Computer-Assisted Intervention, September, 2018
Improved deep learning-based macromolecules structure classification from electron cryo-tomograms
Chengqian Che, Ruogu Lin, Xiangrui Zeng, Karim Elmaaroufi, John Galeotti and Min Xu

Journal Article, Machine Vision and Applications, pp. 1-10, June, 2018
Visualizing the Palisades of Vogt: Limbal Registration by Surface Segmentation
Tejas Sudharshan Mathai, John Galeotti and Kira Lathrop

Conference Paper, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), May, 2018
The Optical Coherence Tomography Microsurgical Augmented Reality System (OCT-MARS): A Novel Device for Microsurgeries
Samantha J. Horvath

PhD Thesis, Tech. Report, CMU-RI-TR-16-56, Robotics Institute, Carnegie Mellon University, September, 2016
Real-Time Registration of Video with Ultrasound using Stereo Disparity
Jihang Wang

Master's Thesis, Tech. Report, Robotics Institute, Carnegie Mellon University, May, 2012
Real-Time Registration of Video with Ultrasound using Stereo Disparity
Jihang Wang, Samantha J. Horvath, George D. Stetten, Mel Siegel and John Galeotti

Journal Article, SPIE Medical Imaging, February, 2012
ProbeSight: Video Cameras on an Ultrasound Probe for Computer Vision of the Patient’s Exterior
John Galeotti, Jihang Wang, Samantha J. Horvath, Mel Siegel and George D. Stetten

Conference Paper, Image Guided Therapy Workshop, October, 2011

Lab Students

In-Situ Image Guidance for Microsurgery
We have developed a new image-based guidance system for microsurgery using optical coherence tomog...
We are using video cameras to give vision to the ultrasound transducer. This could eventually lead...