Disclosed herein are methods and systems for automated detection of shadow artifacts in optical coherence tomography (OCT) and/or OCT angiography (OCTA). The shadow detection includes applying a machine-learning algorithm to the OCT dataset and the OCTA dataset to detect one or more shadow artifacts in the sample. The machine-learning algorithm is trained with first training data from first training samples that include manufactured shadows and no perfusion defects and second training data from second training samples that include perfusion defects and no manufactured shadows. The shadow artifacts in the OCTA dataset and/or OCT dataset may be suppressed to generate a shadow-suppressed OCTA dataset and/or a shadow-suppressed OCT dataset, respectively. Other embodiments may be described and claimed.

A visualization system includes a housing assembly having a head unit configured to be at least partially directed towards a target site. An optical coherence tomography (OCT) module and a stereoscopic camera are located in the housing assembly. A controller is in communication with the OCT module and the stereoscopic camera. The controller is adapted to acquire left OCT data and right OCT data of the target site, via the OCT module, and synchronously acquire left camera data and right camera data of the target site, via the stereoscopic camera. The controller is adapted to generate volume-rendered images, including: first and second OCT images based on the OCT data and first and second camera images based on the camera data. The first and second OCT images and the first and second camera images have matching parallax.

A signal processing device includes a controller which acquires an output signal output from a single light receiver that receives a plurality of interference beams in which a light beam that is output from a single light source and traces a sample arm toward a measurement target and a light beam that is output from the light source and traces a reference arm that is different from the sample arm interfere with each other, the plurality of interference beams each having a different wavelength dispersion characteristic difference between the sample arm and the reference arm traced by the light beams interfering with each other; and extracts an extraction signal that is a signal for each of the interference beams on the basis of the output signal acquired and a correction signal obtained by applying wavelength dispersion correction processing to the output signal.

A technique capable of providing a user with information obtained by OCT imaging in a useful way, particularly for assisting in assessment of an embryo effectively. The image processing method includes acquiring original signal data indicating an intensity distribution of signal light from each position in three-dimensional space including a cultured embryo obtained by optical coherence tomography imaging, generating spherical coordinate data based on the original signal data, the spherical coordinate data indicating a relationship between each position in the three-dimensional space represented using spherical coordinates having an origin set inside the embryo and the intensity of the signal light from the position, and outputting the intensity distribution of the signal light as a two-dimensional map based on the spherical coordinate data using two deflection angles of the spherical coordinates as coordinate axes.

An OCT data processing device includes a processor that performs acquiring three-dimensional OCT data. The three-dimensional OCT data is OCT data of a tissue of a subject's eye acquired by an OCT device and is obtained by irradiating measurement light on a two-dimensional measurement region. The two-dimensional measurement region extends in a direction intersecting an optical axis of the measurement light. The processor further preforms setting a line pattern, from among a plurality of types of line pattern, with respect to the two-dimensional measurement region for which the three-dimensional OCT data is obtained, at least one of an arrangement, a number, or a shape of one or more lines being different for the plurality of types of line pattern, and extracting, from the three-dimensional OCT data, a two-dimensional tomographic image of a cross section intersecting each of the one or more lines of the set line pattern.

Presented herein are systems and methods for tomographic imaging of a region of interest in a subject using short-wave infrared light to provide for accurate reconstruction of absorption maps within the region of interest. The reconstructed absorption maps are representations of the spatial variation in tissue absorption within the region of interest. The reconstructed absorption maps can themselves be used to analyze anatomical properties and biological processes within the region of interest, and/or be used as input information about anatomical properties in order to facilitate data processing used to obtain images of the region of interest via other imaging modalities. For example, the reconstructed absorption maps may be incorporated into forward models that are used in tomographic reconstruction processing in fluorescence and other contrast-based tomographic imaging modalities. Incorporating reconstructed absorption maps into other tomographic reconstruction processing algorithms in this manner improves the accuracy of the resultant reconstructions.

A data processing apparatus includes input interface circuitry to which first three-dimensional data and second three-dimensional data indicating objects acquired at timings different from each other for a same person are input, and processing circuitry configured to compare pieces of soft tissue of at least one tooth between the first three-dimensional data and the second three-dimensional data using a shape of a crown portion of the at least one tooth included in the objects as a reference and output comparison information regarding a comparison result.

An exemplary system, method and computer-accessible medium for compressing data that can be based on an optical coherence tomography (OCT) signal can be provided, which can include, for example, receiving OCT data from a digital acquisition board that can be based on the OCT signal, storing the OCT data in a volatile memory, and compressing the stored OCT data using a compressed sensing procedure. The compressed sensing procedure can be based on a software mask residing on the computer hardware arrangement. The stored OCT data can be compressed using the software mask to mask particular portions of the stored OCT data. The compressed OCT data can be stored in a non-volatile data storage arrangement. The OCT signal can be an OCT calibration signal.

Presented herein are systems and methods for tomographic imaging of a region of interest in a subject using short-wave infrared light to provide for accurate reconstruction of absorption maps within the region of interest. The reconstructed absorption maps are representations of the spatial variation in tissue absorption within the region of interest. The reconstructed absorption maps can themselves be used to analyze anatomical properties and biological processes within the region of interest, and/or be used as input information about anatomical properties in order to facilitate data processing used to obtain images of the region of interest via other imaging modalities. For example, the reconstructed absorption maps may be incorporated into forward models that are used in tomographic reconstruction processing in fluorescence and other contrast-based tomographic imaging modalities. Incorporating reconstructed absorption maps into other tomographic reconstruction processing algorithms in this manner improves the accuracy of the resultant reconstructions.

An image processing apparatus includes: an obtaining unit configured to obtain a first medical image of an object under examination; an image quality improving unit configured to generate, from the obtained first medical image, a second medical image with image quality higher than image quality of the obtained first medical image using a learned model; a comparing unit configured to compare an analysis result obtained by analyzing the obtained first medical image and an analysis result obtained by analyzing the generated second medical image; and a display controlling unit configured to cause a comparison result obtained by the comparing unit to be displayed on a display unit.