Abstract: A cooking device is provided. The cooking device including: a housing having a cooking cavity; and a gas circulation apparatus disposed in the housing and configured to drive gas in the cooking cavity to flow and circulate. The gas circulation apparatus includes a gas driving part. When driven by the gas driving part, gas has a first part flowing in a first direction and a second part flowing in a second direction, one of the first direction and the second direction is a circumferential direction of the gas driving part, and another of the first direction and the second direction is a radial direction of the gas driving part.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: Methods and systems in ophthalmic imaging are presented that increase the sensitivity of automated diagnoses by the use of a combination of both functional and structural information derived from a variety of ophthalmic imaging modalities. An example method to analyze image data of an eye of a patient includes processing a first image dataset to obtain one or more functional metrics; processing a second image dataset to obtain one or more structural metrics; comparing the one or more structural metrics to the one or more functional metrics; and processing the results of said comparison to derive the probability of a disease or normality of the eye.

Abstract: Various systems and methods for improved OCT angiography imaging are described. An example method of identifying intraretinal fluid in optical coherence tomography (OCT) image data of an eye includes collecting OCT image data using an OCT system. The data includes at least one cluster scan containing OCT image data collected at approximately same set of locations on the sample. A first motion contrast image is generated by applying a first OCT angiography processing technique to the cluster scan to highlight motion contrast in the sample. A second motion contrast image is generated by applying a second OCT angiography processing technique to the cluster scan to highlight motion contrast in the sample. An image displaying intraretinal fluid in the eye is generated using the first and second motion contrast images and then displayed or stored or a further analysis thereof.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: Various systems and methods for improved OCT angiography imaging are described. An example method of identifying intraretinal fluid in optical coherence tomography (OCT) image data of an eye includes collecting OCT image data using an OCT system. The data includes at least one cluster scan containing OCT image data collected at approximately same set of locations on the sample. A first motion contrast image is generated by applying a first OCT angiography processing technique to the cluster scan to highlight motion contrast in the sample. A second motion contrast image is generated by applying a second OCT angiography processing technique to the cluster scan to highlight motion contrast in the sample. An image displaying intraretinal fluid in the eye is generated using the first and second motion contrast images and then displayed or stored or a further analysis thereof.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: A method for reducing motion artifacts in optical coherence tomography (OCT) angiography images is disclosed. The method is applied to the intensity or complex OCT data prior to applying the motion contrast analysis and involves determining sub-pixel level shifts between at least two B-scans repeated approximately at the same location and applying the sub-pixel level shifts to the B-scans to be able to correct for motion and accurately determine motion contrast signal. A preferred embodiment includes the use of 2D cross correlations to register a series of B-scans in both the axial (z-) and lateral (x-) dimensions and a convolution approach to achieve sub-pixel level frame registration.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: Methods and systems in ophthalmic imaging are presented that increase the sensitivity of automated diagnoses by the use of a combination of both functional and structural information derived from a variety of ophthalmic imaging modalities. An example method to analyze image data of an eye of a patient includes processing a first image dataset to obtain one or more functional metrics; processing a second image dataset to obtain one or more structural metrics; comparing the one or more structural metrics to the one or more functional metrics; and processing the results of said comparison to derive the probability of a disease or normality of the eye.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: A method for reducing motion artifacts in optical coherence tomography (OCT) angiography images is disclosed. The method is applied to the intensity or complex OCT data prior to applying the motion contrast analysis and involves determining sub-pixel level shifts between at least two B-scans repeated approximately at the same location and applying the sub-pixel level shifts to the B-scans to be able to correct for motion and accurately determine motion contrast signal. A preferred embodiment includes the use of 2D cross correlations to register a series of B-scans in both the axial (z-) and lateral (x-) dimensions and a convolution approach to achieve sub-pixel level frame registration.

Abstract: Embodiments provide methods and systems for imaging, and, more specifically, to a method and apparatus for quantitative imaging of blood perfusion in living tissue. Some embodiments are directed to methods of obtaining quantitative imaging of blood perfusion in living tissues using Doppler optical micro-angiography (DOMAG).

Abstract: Embodiments provide methods and systems for quantitative imaging of blood perfusion in living tissue. A method provides for obtaining an optical microangiography (OMAG) image of a sample, wherein the image has an OMAG background sample; digitally reconstructing a homogeneous ideal static background tissue; replacing the OMAG background sample with the digitally reconstructed homogeneous ideal static background tissue; correlating two or more neighboring A-lines with the digitally reconstructed homogeneous ideal static background tissue; and measuring a phase difference between the two or more neighboring A-lines to quantify blood perfusion in the sample. Methods using digital reconstruction to reduce random phase noise in phase-resolved Doppler OCT are also provided.

Abstract: Embodiments provide methods and systems for imaging, and, more specifically, to a method and apparatus for quantitative imaging of blood perfusion in living tissue. Some embodiments are directed to methods of obtaining quantitative imaging of blood perfusion in living tissues using Doppler optical micro-angiography (DOMAG).