Title :
P1A-7 Automatic Segmentation of the Anterior Chamber in In Vivo High-Frequency Ultrasound Images of the Eye
Author :
Coron, Alain ; Silverman, Ronald H. ; Saïed, Amena ; Laugier, Pascal
Author_Institution :
Univ. Pierre et Marie Curie-Paris 6, Paris
Abstract :
When monitoring glaucoma, or planning intraocular lens surgery, ophthalmologists need to visualize and measure the anatomical structures of the eye like the anterior chamber, a fluid filled space between the posterior surface of the cornea and the iris, or the iridocorneal angle. Our long term goal consists in setting up an accurate and automatic measurement method of the anterior chamber. Even if the segmentation process we discuss and illustrate by examples is not complete, it is efficient to localize the cornea, the lens and the iridocorneal angle in high frequency in vivo ultrasound acquisitions.
Keywords :
biomedical measurement; biomedical ultrasonics; eye; image segmentation; medical image processing; automatic anterior chamber measurement method; automatic eye segmentation; glaucoma monitoring; in vivo high-frequency ultrasound images; intraocular lens surgery; iridocorneal angle; ultrasound acquisition system; Anatomical structure; Cornea; Image segmentation; In vivo; Lenses; Monitoring; Surgery; Ultrasonic imaging; Ultrasonic variables measurement; Visualization;
Conference_Titel :
Ultrasonics Symposium, 2007. IEEE
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-1384-3
Electronic_ISBN :
1051-0117
DOI :
10.1109/ULTSYM.2007.318