TY - GEN
T1 - Adaptive multispectral illumination for retinal microsurgery
AU - Sznitman, Raphael
AU - Rother, Diego
AU - Handa, Jim
AU - Gehlbach, Peter
AU - Hager, Gregory D.
AU - Taylor, Russell
PY - 2010
Y1 - 2010
N2 - It has been shown that excessive white light exposure during retinal microsurgery can induce retinal damage. To address this problem, one can illuminate the retina with a device that alternates between white, and less damaging limited-spectrum light. The surgeon is then presented with a fully colored video by recoloring the limited-spectrum light frames, using information from the white-light frames. To obtain accurately colored images, while reducing phototoxicity, we have developed a novel algorithm that monitors the quality of the recolored images and determines when white light may be substituted by limited-spectrum light. We show qualitatively and quantitatively that our system can provide reliable images using a significantly smaller light dose as compared to other state-of-the-art coloring schemes.
AB - It has been shown that excessive white light exposure during retinal microsurgery can induce retinal damage. To address this problem, one can illuminate the retina with a device that alternates between white, and less damaging limited-spectrum light. The surgeon is then presented with a fully colored video by recoloring the limited-spectrum light frames, using information from the white-light frames. To obtain accurately colored images, while reducing phototoxicity, we have developed a novel algorithm that monitors the quality of the recolored images and determines when white light may be substituted by limited-spectrum light. We show qualitatively and quantitatively that our system can provide reliable images using a significantly smaller light dose as compared to other state-of-the-art coloring schemes.
UR - http://www.scopus.com/inward/record.url?scp=84864261800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864261800&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15711-0_58
DO - 10.1007/978-3-642-15711-0_58
M3 - Conference contribution
C2 - 20879433
AN - SCOPUS:84864261800
SN - 3642157106
SN - 9783642157103
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 465
EP - 472
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings
T2 - 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Y2 - 20 September 2010 through 24 September 2010
ER -