Monitoring mouse retinal degeneration with high-resolution spectral-domain optical coherence tomography

Kim, Ki Hean; Puoris’haag, Mehron; Maguluri, Gopi; Umino, Yumiko; Cusato, K.; Barlow, Robert B.; Boer, Johannes F. de

doi:10.1167/8.1.17

Cited by 80 publications

(69 citation statements)

References 27 publications

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“…For example, OCT was found to serve as a useful tool for monitoring tumor progression in a rat model of retinoblastoma 30 and retinal degeneration in a transgenic mouse model. 31 The ex-vivo images acquired with the common-detector RS-OCT instrument [ Fig. 4(a)] allow visualization of most layers of the retina, as can be confirmed by comparison to the corresponding histology cross section [ Fig.…”

Section: Discussionmentioning

confidence: 95%

Integrated system for combined Raman spectroscopy–spectral domain optical coherence tomography

Patil

Kalkman²,

Faber³

et al. 2011

J. Biomed. Opt.

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Abstract. Raman spectroscopy (RS) and optical coherence tomography (OCT) are powerful tools for optical analysis of tissues with mutually complementary strengths and limitations. OCT excels at visualizing tissue microstructure but lacks molecular specificity, while RS can relay tissue biochemical composition but typically cannot relate microstructure. Previous implementations of combined RS-OCT have utilized a common sample arm while maintaining independent RS and OCT detection arms. We present the design and application of an integrated RS-OCT instrument with a common detection arm for both RS and OCT. The detector is a spectrograph capable of sequential detection of the 855-nm OCT signal and the Raman scatter generated by a 785-nm source. The capabilities of the instrument are demonstrated ex vivo in the calvaria and retina of rodents, as well as in vivo in human skin. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Section: Discussionmentioning

confidence: 95%

Integrated system for combined Raman spectroscopy–spectral domain optical coherence tomography

Patil

Kalkman²,

Faber³

et al. 2011

J. Biomed. Opt.

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“…1,2 It is now widely used as a research and clinical tool for the investigation of retinal diseases in both humans and animal models. [3][4][5][6][7] The measurement of geometrical dimensions (i.e., biometry) of physiological and pathological retinal layers and features is one of the primary functions of OCT imaging. Images of changes in layered retinal structures aid in the diagnosis, treatment, and management of many blinding diseases.…”

Section: Introductionmentioning

confidence: 99%

User-guided segmentation for volumetric retinal optical coherence tomography images

2014

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Abstract. Despite the existence of automatic segmentation techniques, trained graders still rely on manual segmentation to provide retinal layers and features from clinical optical coherence tomography (OCT) images for accurate measurements. To bridge the gap between this time-consuming need of manual segmentation and currently available automatic segmentation techniques, this paper proposes a user-guided segmentation method to perform the segmentation of retinal layers and features in OCT images. With this method, by interactively navigating three-dimensional (3-D) OCT images, the user first manually defines user-defined (or sketched) lines at regions where the retinal layers appear very irregular for which the automatic segmentation method often fails to provide satisfactory results. The algorithm is then guided by these sketched lines to trace the entire 3-D retinal layer and anatomical features by the use of novel layer and edge detectors that are based on robust likelihood estimation. The layer and edge boundaries are finally obtained to achieve segmentation. Segmentation of retinal layers in mouse and human OCT images demonstrates the reliability and efficiency of the proposed user-guided segmentation method.

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“…The murine retinal layers can be observed in vivo using an imaging modality called optical coherence tomography (OCT) [1][2][3][4][5][6][7]. OCT is an optical interferometric non-invasive imaging modality that provides sub-surface depth resolved images of tissue with resolution approaching that of histology [8].…”

Section: Introductionmentioning

confidence: 99%

Imaging retinal degeneration in mice by combining Fourier domain optical coherence tomography and fluorescent scanning laser ophthalmoscopy

Hossein-Javaheri

Molday

et al. 2009

SPIE Proceedings

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Visualization of the internal structures of the retina is critical for clinical diagnosis and monitoring of pathology as well as for medical research investigating the root causes of retinal degeneration. Optical Coherence Tomography (OCT) is emerging as the preferred technique for non-contact sub-surface depth-resolved imaging of the retina. The high resolution cross sectional images acquired in vivo by OCT can be compared to histology to visually delineate the retinal layers. The recent demonstration of the significant sensitivity increase obtained through use of Fourier domain (FD) detection with OCT has been used to facilitate high speed scanning for volumetric reconstruction of the retina in software. The images acquired by OCT are purely structural, relying on refractive index differences in the tissue for contrast, and do not provide information on the molecular content of the sample. We have constructed a FDOCT prototype and combined it with a fluorescent Scanning Laser Ophthalmoscope (fSLO) to permit real time alignment of the field of view on the retina. The alignment of the FDOCT system to the specimen is crucial for the registration of measurements taken throughout longitudinal studies. In addition, fluorescence detection has been integrated with the SLO to enable the en face localization of a molecular contrast signal, which is important for retinal angiography, and also for detection of autofluorescence associated with some forms of retinal degeneration, for example autofluorescence lipofuscin accumulations are associated with Stargardt's Macular Dystrophy. The integrated FD OCT/fSLO system was investigated for imaging the retina of the mice in vivo.

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Monitoring mouse retinal degeneration with high-resolution spectral-domain optical coherence tomography

Cited by 80 publications

References 27 publications

Integrated system for combined Raman spectroscopy–spectral domain optical coherence tomography

Integrated system for combined Raman spectroscopy–spectral domain optical coherence tomography

User-guided segmentation for volumetric retinal optical coherence tomography images

Imaging retinal degeneration in mice by combining Fourier domain optical coherence tomography and fluorescent scanning laser ophthalmoscopy

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