Retinal tumor imaging and volume quantification in mouse model using spectral-domain optical coherence tomography.
We have successfully imaged the retinal tumor in a mouse model using an ultra-high resolution spectral-domain optical coherence tomography (SD-OCT) designed for small animal retinal imaging. For segmentation of the tumor boundaries and calculation of the tumor volume, we developed a novel segmentation algorithm. The algorithm is based on parametric deformable models (active contours) and is driven by machine learning-based region classification, namely a Conditional Random Field. With this algorithm we are able to obtain the tumor boundaries automatically, while the user can specify additional constraints (points on the boundary) to correct the segmentation result, if needed. The system and algorithm were successfully applied to studies on retinal tumor progression and monitoring treatment effects quantitatively in a mouse model of retinoblastoma.
Ruggeri
Marco
M
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine 1638 NW 10th Ave. Miami, FL 33136, USA.
Tsechpenakis
Gavriil
G
Jiao
Shuliang
S
Jockovich
Maria Elena
ME
Cebulla
Colleen
C
Hernandez
Eleut
E
Murray
Timothy G
TG
Puliafito
Carmen A
CA
D000465:Algorithms; D000818:Animals; D002934:Cinnamates / Q000494:pharmacology; D004195:Disease Models, Animal; D007091:Image Processing, Computer-Assisted; D037101:Luteinizing Hormone, beta Subunit / Q000235:genetics; D051379:Mice; D008807:Mice, Inbred BALB C; D008822:Mice, Transgenic; D019572:Retinal Neoplasms / Q000188:drug therapy / Q000209:etiology / Q000473:pathology*; D012175:Retinoblastoma / Q000188:drug therapy / Q000209:etiology / Q000473:pathology; D041623:Tomography, Optical Coherence / Q000379:methods* / Q000706:statistics & numerical data; D040301:Vascular Endothelial Growth Factor Receptor-2 / Q000037:antagonists & inhibitors
D002934:Cinnamates; D037101:Luteinizing Hormone, beta Subunit; C483044:SU 1498; D040301:Vascular Endothelial Growth Factor Receptor-2