Abstract:
According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).
Abstract:
According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).
Abstract:
An intracranial implant to position a fiber bundle to a specified region of a brain of an animal. The implant may include a base support to be fixed to a skull of the animal over an orifice drilled in the skull, a hollow conduit arranged through the base support to guide the fiber bundle to the brain of the animal through the drilled orifice and a first locking member arranged on the base support, to cooperate with a ferrule of the fiber bundle, the first locking member configured to lock the fiber bundle to the specified region of the brain of the animal.
Abstract:
A method for processing images acquired by image detectors with non-uniform transfer functions and irregular spatial locations includes the steps of accumulating data from multiple images, defining an affinity graph which edges define pairs of detectors that measure related signal, performing statistical analysis on the accumulated data with respect to each pair of detectors, and solving a system of equations constructed from the results of the statistical analysis to estimate each detector transfer function, a set of solutions to the system of equations comprising a calibration of an imaging system.
Abstract:
A method to process an image acquired through an optical-fiber guide includes acquiring a first reference image through the optical-fiber guide, acquiring a second calibration image through the optical-fiber guide, spatially identifying each fiber of the optical-fiber guide of the second calibration image in a first detection map, acquiring a recalibration image through the optical-fiber guide, determining a geometrical transformation to make the recalibration image coincide with the first reference image, deriving a new detection map spatially identifying each fiber of the optical-fiber guide of the recalibration image, wherein the new detection map is derived using the geometrical transformation and the first detection map, and individually processing zones of an acquired image corresponding to each fiber of the optical-fiber guide using the new detection map.
Abstract:
According to a first aspect, the invention relates to a method for processing images acquired by means image detectors with non-uniform transfer functions and irregular spatial locations, comprising: accumulating data from multiple images; defining an affinity graph linking individual detectors that measure related signal; performing statistical analysis on the accumulated data from the linked detectors; and solving a system constructed from the results of the statistical analysis to estimate each detector transfer function, the set of which compose a calibration of an imaging system.
Abstract:
A method for processing images acquired in real time through a medical device, said images being loaded into a buffer, comprising the steps of: stopping the loading of the images into the buffer, processing loaded images using an incremental algorithm, displaying successively intermediate results of the processing, resuming the loading and stopping the processing based on an evaluation of said intermediate results.
Abstract:
An intracranial implant to position a fiber bundle to a specified region of a brain of an animal. The implant may include a base support to be fixed to a skull of the animal over an orifice drilled in the skull, a hollow conduit arranged through the base support to guide the fiber bundle to the brain of the animal through the drilled orifice and a first locking member arranged on the base support, to cooperate with a ferrule of the fiber bundle, the first locking member configured to lock the fiber bundle to the specified region of the brain of the animal.
Abstract:
The invention relates to a method for producing a fluorescent fiber image of a sample, wherein a sample is scanned with the aid of an excitation signal; the fluorescent signal emanating from the sample is detected, wherein the excitation signal and fluorescent signal use the same optical path; the optical path is used to excite at least two fluorophores contained in the sample; a final image is produced, including areas that are colored according to the at least two fluorophores. The multimarking according to the invention makes it possible to simultaneously acquire two images in two different wavelength bands. The system according to the invention can comprise a spectrometer for spectral quantification of the fluorescent signal.
Abstract:
The present invention concerns a mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The invention relates to a method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, the method comprising the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimisation of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.