DocumentCode
1487466
Title
Multimodal Registration Procedure for the Initial Spatial Alignment of a Retinal Video Sequence to a Retinal Composite Image
Author
Broehan, A. Martina ; Tappeiner, Christoph ; Rothenbuehler, Simon P. ; Rudolph, Tobias ; Amstutz, Christoph A. ; Kowal, Jens H.
Author_Institution
(ARTORG) Center for Biomed. Eng. Res., Univ. of Bern, Bern, Switzerland
Volume
57
Issue
8
fYear
2010
Firstpage
1991
Lastpage
2000
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.
Keywords
biomedical optical imaging; blood vessels; eye; image matching; image registration; image sequences; medical image processing; video signal processing; iterative matching; laser treatment; multimodal registration; optic disc identification; retinal composite image; retinal motion; retinal video sequence; scanning digital ophthalmoscope; vessel centerline points detection; video frame prealignment; Biomedical image processing; feature extraction; retinal image registration; retinal video sequences; Adult; Aged; Aged, 80 and over; Algorithms; Female; Humans; Image Processing, Computer-Assisted; Male; Microscopy, Video; Middle Aged; Ophthalmoscopy; Optic Disk; Retina; Retinal Vessels;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2010.2048710
Filename
5462869
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