Efficiently tracking a moving object in two-dimensional image space

Barrett, Steven F.; Wright, Cameron H. G.; Zwick, Harry; Wilcox, Michael; Rockwell, Benjamin A.; Næss, Espen

doi:10.1117/1.1380202

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…The tracking algorithms and concepts developed for this project have tremendous potential for application in many other areas of biomedical engineering. We have already adapted the basic tracking system for recording eye movements directly from the retina for Department of Defense studies, 31,32 tracking rats in a water maze for psychophysiological studies, [32][33][34] and stabilizing a laser for computerassisted tattoo removal.…”

Section: Discussionmentioning

confidence: 99%

Computer-assisted laser photocoagulation of the retina—a hybrid tracking approach

et al. 2002

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A system for robotically assisted retinal surgery has been developed to rapidly and safely place lesions on the retina for photocoagulation therapy. This system provides real-time, motion stabilized lesion placement for typical irradiation times of 100 ms. The system consists of three main subsystems: a digital-based global tracking subsystem; a fast, analog local tracking subsystem; and a confocal reflectance subsystem to control lesion parameters dynamically. We have reported previously on these individual subsystems. This paper concentrates on the development of a second hybrid system prototype. Considerable progress has been made toward reducing the footprint of the optical system, simplifying the user interface, fully characterizing the analog tracking system, using measurable lesion reflectance parameters to develop a noninvasive method to infer lesion depth, and integrating the subsystems into a seamless hybrid system. These system improvements and progress toward a clinically significant system are covered in detail within this paper. The tracking algorithms and concepts developed for this project have considerable potential for application in many other areas of biomedical engineering.

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Section: Discussionmentioning

confidence: 99%

Computer-assisted laser photocoagulation of the retina—a hybrid tracking approach

et al. 2002

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Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions

Stewart

2005

Computer Vision for Biomedical Image Applications

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Multimodal Registration Procedure for the Initial Spatial Alignment of a Retinal Video Sequence to a Retinal Composite Image

Broehan

Tappeiner

Rothenbuehler

et al. 2010

IEEE Trans. Biomed. Eng.

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Abstract-Accurate placement of lesions is crucial for the effectiveness and safety of a retinal laser photocoagulation treatment. Computer assistance provides the capability for improvements to treatment accuracy and execution time. The idea is to use video frames acquired from a scanning digital ophthalmoscope (SDO) to compensate for retinal motion during laser treatment. This paper presents a method for the multimodal registration of the initial frame from an SDO retinal video sequence to a retinal composite image, which may contain a treatment plan. The retinal registration procedure comprises the following steps: 1) detection of vessel centerline points and identification of the optic disc; 2) prealignment of the video frame and the composite image based on optic disc parameters; and 3) iterative matching of the detected vessel centerline points in expanding matching regions. This registration algorithm was designed for the initialization of a real-time registration procedure that registers the subsequent video frames to the composite image. The algorithm demonstrated its capability to register various pairs of SDO video frames and composite images acquired from patients.Index Terms-Biomedical image processing, feature extraction, retinal image registration, retinal video sequences.

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Efficiently tracking a moving object in two-dimensional image space

Cited by 7 publications

References 5 publications

Computer-assisted laser photocoagulation of the retina—a hybrid tracking approach

Computer-assisted laser photocoagulation of the retina—a hybrid tracking approach

Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions

Multimodal Registration Procedure for the Initial Spatial Alignment of a Retinal Video Sequence to a Retinal Composite Image

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