Ultra high-resolution optical coherence tomography for ocular imaging of small animals

Marco Ruggeri, S. Jiao, James C. Major, C. Cebulla, Philip J Rosenfeld, Giovanni Gregori, G. Tsechpenakis, Jianhua Wang, T. Murray, Vittorio Porciatti

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

Abstract

Accurate in-vivo evaluation of the structural and morphological changes of the ocular structures of small animal models is essential in understanding the disease mechanisms, monitoring the disease progression, and response to therapies. Currently, ocular morphology and structure of animal models can only be examined quantitatively with histology. We present the advances for in vivo non contact three-dimensional (3D) ocular imaging of small animals with ultra high-resolution Spectral Domain Optical Coherence Tomography (SD-OCT) and quantitative information extraction using 3D segmentation of the OCT images. A SD-OCT system with two dedicated optical delivery systems for imaging the retina and anterior segment of small animals in vivo was built. An advanced 5-axis animal positioning and alignment system was developed for high throughput applications. 3D segmentation algorithm was developed for calculation of the retinal thickness map. An algorithm for automatic segmentation of the tumor boundaries and tumor volume calculation for LHβTag mouse model of retinoblastoma was also developed. The OCT system was applied in imaging mice, rats, rabbits, and raptors in the study of various ocular diseases and treatment procedures. One of the exciting applications is that the retina of Broad-winged hawk, Barred owl and Great-horned owl were imaged in vivo for the first time with high quality. The SD-OCT system accomplished the goal of non-invasive, non-contact, in vivo imaging of small animal retinal structures with high imaging quality and short imaging time (∼ 2 minutes, acquisition time 2.7 seconds). These results make the system suitable for routine high throughput applications. Together with the segmentation algorithms, the acquired 3D data allows quantitative information extraction and provides means for precise comparison of the images acquired at different time, which make possible longitudinal studies of retinal diseases and treatment effects.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages11-12
Number of pages2
Volume24
DOIs
StatePublished - Nov 6 2009
Event25th Southern Biomedical Engineering Conference 2009 - Miami, FL, United States
Duration: May 15 2009May 17 2009

Other

Other25th Southern Biomedical Engineering Conference 2009
CountryUnited States
CityMiami, FL
Period5/15/095/17/09

Fingerprint

Optical tomography
Animals
Imaging techniques
Tumors
Throughput
Histology
Spectral resolution
Rats
Monitoring

Keywords

  • Image analysis
  • Medical and biological imaging
  • Optical Coherence Tomography

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Ultra high-resolution optical coherence tomography for ocular imaging of small animals. / Ruggeri, Marco; Jiao, S.; Major, James C.; Cebulla, C.; Rosenfeld, Philip J; Gregori, Giovanni; Tsechpenakis, G.; Wang, Jianhua; Murray, T.; Porciatti, Vittorio.

IFMBE Proceedings. Vol. 24 2009. p. 11-12.

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

Ruggeri, M, Jiao, S, Major, JC, Cebulla, C, Rosenfeld, PJ, Gregori, G, Tsechpenakis, G, Wang, J, Murray, T & Porciatti, V 2009, Ultra high-resolution optical coherence tomography for ocular imaging of small animals. in IFMBE Proceedings. vol. 24, pp. 11-12, 25th Southern Biomedical Engineering Conference 2009, Miami, FL, United States, 5/15/09. https://doi.org/10.1007/978-3-642-01697-4_6
Ruggeri, Marco ; Jiao, S. ; Major, James C. ; Cebulla, C. ; Rosenfeld, Philip J ; Gregori, Giovanni ; Tsechpenakis, G. ; Wang, Jianhua ; Murray, T. ; Porciatti, Vittorio. / Ultra high-resolution optical coherence tomography for ocular imaging of small animals. IFMBE Proceedings. Vol. 24 2009. pp. 11-12
@inproceedings{13324c4aa79e4cc98afdbc5efd866651,
title = "Ultra high-resolution optical coherence tomography for ocular imaging of small animals",
abstract = "Accurate in-vivo evaluation of the structural and morphological changes of the ocular structures of small animal models is essential in understanding the disease mechanisms, monitoring the disease progression, and response to therapies. Currently, ocular morphology and structure of animal models can only be examined quantitatively with histology. We present the advances for in vivo non contact three-dimensional (3D) ocular imaging of small animals with ultra high-resolution Spectral Domain Optical Coherence Tomography (SD-OCT) and quantitative information extraction using 3D segmentation of the OCT images. A SD-OCT system with two dedicated optical delivery systems for imaging the retina and anterior segment of small animals in vivo was built. An advanced 5-axis animal positioning and alignment system was developed for high throughput applications. 3D segmentation algorithm was developed for calculation of the retinal thickness map. An algorithm for automatic segmentation of the tumor boundaries and tumor volume calculation for LHβTag mouse model of retinoblastoma was also developed. The OCT system was applied in imaging mice, rats, rabbits, and raptors in the study of various ocular diseases and treatment procedures. One of the exciting applications is that the retina of Broad-winged hawk, Barred owl and Great-horned owl were imaged in vivo for the first time with high quality. The SD-OCT system accomplished the goal of non-invasive, non-contact, in vivo imaging of small animal retinal structures with high imaging quality and short imaging time (∼ 2 minutes, acquisition time 2.7 seconds). These results make the system suitable for routine high throughput applications. Together with the segmentation algorithms, the acquired 3D data allows quantitative information extraction and provides means for precise comparison of the images acquired at different time, which make possible longitudinal studies of retinal diseases and treatment effects.",
keywords = "Image analysis, Medical and biological imaging, Optical Coherence Tomography",
author = "Marco Ruggeri and S. Jiao and Major, {James C.} and C. Cebulla and Rosenfeld, {Philip J} and Giovanni Gregori and G. Tsechpenakis and Jianhua Wang and T. Murray and Vittorio Porciatti",
year = "2009",
month = "11",
day = "6",
doi = "10.1007/978-3-642-01697-4_6",
language = "English",
isbn = "9783642016967",
volume = "24",
pages = "11--12",
booktitle = "IFMBE Proceedings",

}

TY - GEN

T1 - Ultra high-resolution optical coherence tomography for ocular imaging of small animals

AU - Ruggeri, Marco

AU - Jiao, S.

AU - Major, James C.

AU - Cebulla, C.

AU - Rosenfeld, Philip J

AU - Gregori, Giovanni

AU - Tsechpenakis, G.

AU - Wang, Jianhua

AU - Murray, T.

AU - Porciatti, Vittorio

PY - 2009/11/6

Y1 - 2009/11/6

N2 - Accurate in-vivo evaluation of the structural and morphological changes of the ocular structures of small animal models is essential in understanding the disease mechanisms, monitoring the disease progression, and response to therapies. Currently, ocular morphology and structure of animal models can only be examined quantitatively with histology. We present the advances for in vivo non contact three-dimensional (3D) ocular imaging of small animals with ultra high-resolution Spectral Domain Optical Coherence Tomography (SD-OCT) and quantitative information extraction using 3D segmentation of the OCT images. A SD-OCT system with two dedicated optical delivery systems for imaging the retina and anterior segment of small animals in vivo was built. An advanced 5-axis animal positioning and alignment system was developed for high throughput applications. 3D segmentation algorithm was developed for calculation of the retinal thickness map. An algorithm for automatic segmentation of the tumor boundaries and tumor volume calculation for LHβTag mouse model of retinoblastoma was also developed. The OCT system was applied in imaging mice, rats, rabbits, and raptors in the study of various ocular diseases and treatment procedures. One of the exciting applications is that the retina of Broad-winged hawk, Barred owl and Great-horned owl were imaged in vivo for the first time with high quality. The SD-OCT system accomplished the goal of non-invasive, non-contact, in vivo imaging of small animal retinal structures with high imaging quality and short imaging time (∼ 2 minutes, acquisition time 2.7 seconds). These results make the system suitable for routine high throughput applications. Together with the segmentation algorithms, the acquired 3D data allows quantitative information extraction and provides means for precise comparison of the images acquired at different time, which make possible longitudinal studies of retinal diseases and treatment effects.

AB - Accurate in-vivo evaluation of the structural and morphological changes of the ocular structures of small animal models is essential in understanding the disease mechanisms, monitoring the disease progression, and response to therapies. Currently, ocular morphology and structure of animal models can only be examined quantitatively with histology. We present the advances for in vivo non contact three-dimensional (3D) ocular imaging of small animals with ultra high-resolution Spectral Domain Optical Coherence Tomography (SD-OCT) and quantitative information extraction using 3D segmentation of the OCT images. A SD-OCT system with two dedicated optical delivery systems for imaging the retina and anterior segment of small animals in vivo was built. An advanced 5-axis animal positioning and alignment system was developed for high throughput applications. 3D segmentation algorithm was developed for calculation of the retinal thickness map. An algorithm for automatic segmentation of the tumor boundaries and tumor volume calculation for LHβTag mouse model of retinoblastoma was also developed. The OCT system was applied in imaging mice, rats, rabbits, and raptors in the study of various ocular diseases and treatment procedures. One of the exciting applications is that the retina of Broad-winged hawk, Barred owl and Great-horned owl were imaged in vivo for the first time with high quality. The SD-OCT system accomplished the goal of non-invasive, non-contact, in vivo imaging of small animal retinal structures with high imaging quality and short imaging time (∼ 2 minutes, acquisition time 2.7 seconds). These results make the system suitable for routine high throughput applications. Together with the segmentation algorithms, the acquired 3D data allows quantitative information extraction and provides means for precise comparison of the images acquired at different time, which make possible longitudinal studies of retinal diseases and treatment effects.

KW - Image analysis

KW - Medical and biological imaging

KW - Optical Coherence Tomography

UR - http://www.scopus.com/inward/record.url?scp=70350597715&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350597715&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-01697-4_6

DO - 10.1007/978-3-642-01697-4_6

M3 - Conference contribution

SN - 9783642016967

VL - 24

SP - 11

EP - 12

BT - IFMBE Proceedings

ER -