Ridge-based retinal image registration algorithm involving OCT fundus images

Ying Li, Giovanni Gregori, Robert W. Knighton, Brandon J. Lujan, Philip J Rosenfeld, Byron L Lam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposes an algorithm for retinal image registration involving OCT fundus images (OFIs). The first application of the algorithm is to register OFIs with color fundus photographs; such registration between multimodal retinal images can help correlate features across imaging modalities, which is important for both clinical and research purposes. The second application is to perform the montage of several OFIs, which allows us to construct 3D OCT images over a large field of view out of separate OCT datasets. We use blood vessel ridges as registration features. The brute force search and an Iterative Closest Point (ICP) algorithm are employed for image pair registration. Global alignment to minimize the distance between matching pixel pairs is used to obtain the montage of OFIs. Quality of OFIs is the big limitation factor of the registration algorithm. In the first experiment, the effect of manual OFI enhancement on registration was evaluated for the affine model on 11 image pairs from diseased eyes. The average root mean square error (RMSE) decreases from 58 μm to 40 μm. This indicates that the registration algorithm is robust to manual enhancement. In the second experiment for the montage of OFIs, the algorithm was tested on 6 sets from healthy eyes and 6 sets from diseased eyes, each set having 8 partially overlapping SD-OCT images. Visual evaluation showed that the montage performance was acceptable for normal cases, and not good for abnormal cases due to low visibility of blood vessels. The average RMSE for a typical montage case from a healthy eye is 2.3 pixels (69 μm).

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7962
DOIs
StatePublished - Jun 9 2011
EventMedical Imaging 2011: Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 14 2011Feb 16 2011

Other

OtherMedical Imaging 2011: Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/14/112/16/11

Fingerprint

retinal images
Image registration
ridges
Eye Diseases
Blood vessels
Mean square error
Blood Vessels
Pixels
Image Enhancement
root-mean-square errors
blood vessels
Image enhancement
Visibility
low visibility
pixels
Color
Experiments
image enhancement
registers
Imaging techniques

Keywords

  • blood vessel detection
  • image enhancement
  • montage
  • OCT fundus images
  • registration
  • retinal images

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Li, Y., Gregori, G., Knighton, R. W., Lujan, B. J., Rosenfeld, P. J., & Lam, B. L. (2011). Ridge-based retinal image registration algorithm involving OCT fundus images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7962). [79621Y] https://doi.org/10.1117/12.877697

Ridge-based retinal image registration algorithm involving OCT fundus images. / Li, Ying; Gregori, Giovanni; Knighton, Robert W.; Lujan, Brandon J.; Rosenfeld, Philip J; Lam, Byron L.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7962 2011. 79621Y.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, Y, Gregori, G, Knighton, RW, Lujan, BJ, Rosenfeld, PJ & Lam, BL 2011, Ridge-based retinal image registration algorithm involving OCT fundus images. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7962, 79621Y, Medical Imaging 2011: Image Processing, Lake Buena Vista, FL, United States, 2/14/11. https://doi.org/10.1117/12.877697
Li Y, Gregori G, Knighton RW, Lujan BJ, Rosenfeld PJ, Lam BL. Ridge-based retinal image registration algorithm involving OCT fundus images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7962. 2011. 79621Y https://doi.org/10.1117/12.877697
Li, Ying ; Gregori, Giovanni ; Knighton, Robert W. ; Lujan, Brandon J. ; Rosenfeld, Philip J ; Lam, Byron L. / Ridge-based retinal image registration algorithm involving OCT fundus images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7962 2011.
@inproceedings{a040249f3a804d3394afe055ef3d7f0b,
title = "Ridge-based retinal image registration algorithm involving OCT fundus images",
abstract = "This paper proposes an algorithm for retinal image registration involving OCT fundus images (OFIs). The first application of the algorithm is to register OFIs with color fundus photographs; such registration between multimodal retinal images can help correlate features across imaging modalities, which is important for both clinical and research purposes. The second application is to perform the montage of several OFIs, which allows us to construct 3D OCT images over a large field of view out of separate OCT datasets. We use blood vessel ridges as registration features. The brute force search and an Iterative Closest Point (ICP) algorithm are employed for image pair registration. Global alignment to minimize the distance between matching pixel pairs is used to obtain the montage of OFIs. Quality of OFIs is the big limitation factor of the registration algorithm. In the first experiment, the effect of manual OFI enhancement on registration was evaluated for the affine model on 11 image pairs from diseased eyes. The average root mean square error (RMSE) decreases from 58 μm to 40 μm. This indicates that the registration algorithm is robust to manual enhancement. In the second experiment for the montage of OFIs, the algorithm was tested on 6 sets from healthy eyes and 6 sets from diseased eyes, each set having 8 partially overlapping SD-OCT images. Visual evaluation showed that the montage performance was acceptable for normal cases, and not good for abnormal cases due to low visibility of blood vessels. The average RMSE for a typical montage case from a healthy eye is 2.3 pixels (69 μm).",
keywords = "blood vessel detection, image enhancement, montage, OCT fundus images, registration, retinal images",
author = "Ying Li and Giovanni Gregori and Knighton, {Robert W.} and Lujan, {Brandon J.} and Rosenfeld, {Philip J} and Lam, {Byron L}",
year = "2011",
month = "6",
day = "9",
doi = "10.1117/12.877697",
language = "English",
isbn = "9780819485045",
volume = "7962",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - Ridge-based retinal image registration algorithm involving OCT fundus images

AU - Li, Ying

AU - Gregori, Giovanni

AU - Knighton, Robert W.

AU - Lujan, Brandon J.

AU - Rosenfeld, Philip J

AU - Lam, Byron L

PY - 2011/6/9

Y1 - 2011/6/9

N2 - This paper proposes an algorithm for retinal image registration involving OCT fundus images (OFIs). The first application of the algorithm is to register OFIs with color fundus photographs; such registration between multimodal retinal images can help correlate features across imaging modalities, which is important for both clinical and research purposes. The second application is to perform the montage of several OFIs, which allows us to construct 3D OCT images over a large field of view out of separate OCT datasets. We use blood vessel ridges as registration features. The brute force search and an Iterative Closest Point (ICP) algorithm are employed for image pair registration. Global alignment to minimize the distance between matching pixel pairs is used to obtain the montage of OFIs. Quality of OFIs is the big limitation factor of the registration algorithm. In the first experiment, the effect of manual OFI enhancement on registration was evaluated for the affine model on 11 image pairs from diseased eyes. The average root mean square error (RMSE) decreases from 58 μm to 40 μm. This indicates that the registration algorithm is robust to manual enhancement. In the second experiment for the montage of OFIs, the algorithm was tested on 6 sets from healthy eyes and 6 sets from diseased eyes, each set having 8 partially overlapping SD-OCT images. Visual evaluation showed that the montage performance was acceptable for normal cases, and not good for abnormal cases due to low visibility of blood vessels. The average RMSE for a typical montage case from a healthy eye is 2.3 pixels (69 μm).

AB - This paper proposes an algorithm for retinal image registration involving OCT fundus images (OFIs). The first application of the algorithm is to register OFIs with color fundus photographs; such registration between multimodal retinal images can help correlate features across imaging modalities, which is important for both clinical and research purposes. The second application is to perform the montage of several OFIs, which allows us to construct 3D OCT images over a large field of view out of separate OCT datasets. We use blood vessel ridges as registration features. The brute force search and an Iterative Closest Point (ICP) algorithm are employed for image pair registration. Global alignment to minimize the distance between matching pixel pairs is used to obtain the montage of OFIs. Quality of OFIs is the big limitation factor of the registration algorithm. In the first experiment, the effect of manual OFI enhancement on registration was evaluated for the affine model on 11 image pairs from diseased eyes. The average root mean square error (RMSE) decreases from 58 μm to 40 μm. This indicates that the registration algorithm is robust to manual enhancement. In the second experiment for the montage of OFIs, the algorithm was tested on 6 sets from healthy eyes and 6 sets from diseased eyes, each set having 8 partially overlapping SD-OCT images. Visual evaluation showed that the montage performance was acceptable for normal cases, and not good for abnormal cases due to low visibility of blood vessels. The average RMSE for a typical montage case from a healthy eye is 2.3 pixels (69 μm).

KW - blood vessel detection

KW - image enhancement

KW - montage

KW - OCT fundus images

KW - registration

KW - retinal images

UR - http://www.scopus.com/inward/record.url?scp=79958008708&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958008708&partnerID=8YFLogxK

U2 - 10.1117/12.877697

DO - 10.1117/12.877697

M3 - Conference contribution

SN - 9780819485045

VL - 7962

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -