CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery
Joint Authors
Alsheakhali, Mohamed
Eslami, Abouzar
Roodaki, Hessam
Navab, Nassir
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Detection of instrument tip in retinal microsurgery videos is extremely challenging due to rapid motion, illumination changes, the cluttered background, and the deformable shape of the instrument.
For the same reason, frequent failures in tracking add the overhead of reinitialization of the tracking.
In this work, a new method is proposed to localize not only the instrument center point but also its tips and orientation without the need of manual reinitialization.
Our approach models the instrument as a Conditional Random Field (CRF) where each part of the instrument is detected separately.
The relations between these parts are modeled to capture the translation, rotation, and the scale changes of the instrument.
The tracking is done via separate detection of instrument parts and evaluation of confidence via the modeled dependence functions.
In case of low confidence feedback an automatic recovery process is performed.
The algorithm is evaluated on in vivo ophthalmic surgery datasets and its performance is comparable to the state-of-the-art methods with the advantage that no manual reinitialization is needed.
American Psychological Association (APA)
Alsheakhali, Mohamed& Eslami, Abouzar& Roodaki, Hessam& Navab, Nassir. 2016. CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100055
Modern Language Association (MLA)
Alsheakhali, Mohamed…[et al.]. CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1100055
American Medical Association (AMA)
Alsheakhali, Mohamed& Eslami, Abouzar& Roodaki, Hessam& Navab, Nassir. CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100055
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100055