Multi-wavelength diagnostic imager
AssigneeBoard of Regents, The University of Texas System
InventorsJose Melendez, James Watson, John Michael DiMaio, Roma Moza
Life of this patent
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Abstract
The present invention is a multi-wavelength diagnostic imager. In one embodiment, the present invention includes an apparatus and method for noninvasive evaluation of a target versus a non-target, comprising: one or more light sources having at least one emission spectra directed at the target wherein the position, orientation and intensity of light sources is varied to control near-surface reflectance and are directed at less than the entire target; and one or more detectors positioned to capture light reflected from the target into two or more spatial images of the target at two or more times, wherein the spatial images are used to distinguish between the target and the non-target.
Claims54
An apparatus for noninvasive evaluation of a target versus a non-target, comprising:
- one or more light sources having at least one emission spectra directed at less than the entire target wherein the one or more light sources are configured to not contact the target;
- two or more detectors positioned to capture light reflected from the target into two or more spatial images of the target at two or more times without contacting the target;
- and
- a processor for receiving the two or more spatial images,
- wherein the one or more light sources are positioned to minimize near-surface reflectance incident on the detectors, and
- wherein the processor further performs a transform analysis of time variations of at least a portion of the spatial images to distinguish between target and non-target image information.
An apparatus for noninvasive evaluation of a target versus a non-target, comprising:
- one more light sources having a defined emission spectra and angle of illumination that illuminate a portion of the target not including a given image point on the target wherein the one or more light sources are configured to not contact the target;
- three or more detectors positioned to capture a target reflection comprising one or more two dimensional spatial images of the target without contacting the target;
- and
- a processor in communication with the light sources and detectors, wherein the processor calculates a transform of time variations of at least a portion of the spatial images to distinguish between target and non-target image information based on differing frequency behaviors.
An apparatus for noninvasive measurement of a target versus a non-target, comprising:
- one or more imaging cells wherein each imaging cell comprises:
- an imaging chip that comprises a lens;
- one or more light sources located adjacent to the imaging chip, wherein the one or more light sources have a defined emission spectra and angle of illumination and illuminate a portion of the target not including a given image point on the target wherein the one or more light sources are configured to not contact the target;
- wherein the imaging chip is positioned to capture a target reflection comprising one or more two dimensional spatial images of the target without contacting the target;
- and
- a processor in communication with the imaging cells, wherein the processor calculates a transform of at least a portion of the one or more spatial images to distinguish between a target portion and a non-target portion in the two dimensional spatial images based on differing inverse spatial behaviors between the target and the non-target.
An apparatus for detecting conditions of a portion of a living body target versus a non-target that lead to a change in tissue health, comprising:
- one or more imaging cells wherein each imaging cell comprises:
- an imaging chip that comprises a lens;
- one or more light sources located adjacent to the imaging chip, wherein the one or more light sources have a defined emission spectra and angle of illumination and illuminate a portion of the living body not including a given image point on the body wherein the one or more light sources are configured to not contact the target;
- wherein the imaging chip is positioned to capture a reflection from the living body comprising one or more two dimensional spatial images of the target without contacting the body;
- and
- a processor in communication with the imaging cells, wherein the processor calculates a transform of time variations of the at least a portion of the spatial images to distinguish between target and non-target image information based on differing frequency behaviors to determine the presence of one or more factors that lead to a change in tissue health.
A method for noninvasive measurement of a target versus a non-target, comprising:
- illuminating a portion of a target not including a given image point on the target with two or more light sources each of the light sources having a defined emission spectra and angle wherein the two or more light sources do not contact the target;
- capturing one or more images with one or more detectors positioned to capture a target reflection without contacting the target, the images comprising one or more two dimensional spatial images of the target;
- and
- calculating a transform of time variations of the at least a portion of the spatial images to identify frequency behaviors associated with the target to distinguish between target and non-target image information based on differing frequency behaviors.
A method for noninvasive measurement of a target versus a non-target, comprising:
- illuminating a portion of a target not including a given image point on the target with two or more light sources each of the light sources having a defined emission spectra and angle wherein the two or more light sources do not contact the target;
- capturing one or more images with one or more detectors positioned to capture a target reflection without contacting the target, the images comprising one or more two dimensional spatial images of the target;
- and
- calculating a transform of at least a portion of the one or more spatial images to identify frequency behaviors associated with the target to distinguish between a target portion and a non-target portion in the two dimensional spatial images based on differing inverse spatial behaviors between the target and the non-target.
An apparatus for noninvasive measurement of physiological conditions of a tissue, comprising:
- a base comprising two or more arrays, each array comprising two or more imaging cells wherein each imaging cell comprises an imaging chip that comprises a lens and each imaging cell comprises two or more light sources located adjacent to the imaging chip with each of the light sources having a defined emission spectra and angle of illumination wherein the two or more light sources are configured to not contact the tissue and each of the light sources illuminates a portion of the tissue not including a given image point on the tissue, and wherein the imaging chip is positioned to receive light reflected from the tissue without contacting the tissue;
- a processor in communication with the imaging cells, wherein the processor calculates a transform of at least a portion of the one or more spatial images to distinguish between a target portion and a non-target portion in the two dimensional spatial images based on differing inverse spatial behaviors between a target and a non-target;
- and
- an input/output module connected to the processor that provides optical and/or electrical signals between the base module and a source of electrical power for the processor, the light sources and the imaging chips.
An apparatus for noninvasive measurement of physiological conditions on the surface of the skin, comprising:
- a base comprising two or more arrays, each array comprising two or more imaging cells wherein each imaging cell comprises an imaging chip that comprises a lens and each imaging cell comprises two or more light sources located adjacent to the imaging chip with each of the light sources having a defined emission spectra and angle of illumination wherein the two or more light sources are configured to not contact the skin, and wherein the imaging chip is positioned to receive light reflected from the skin without contacting the skin, wherein the light source emission angles are selected to optimize the amount of light that is transmitted through an interface between the light array and the skin, while minimizing the light that is reflected off of the surface that would be directly incident on the imaging chip by illuminating a portion of the skin not including a given image point on the skin;
- a processor in communication with the imaging cells wherein the processor calculates a transform of time variations of the at least a portion of the spatial images to distinguish between target and non-target image information based on differing frequency behaviors;
- and
- an input/output module connected to the processor that provides optical and/or electrical signals between the base module and a source of electrical power for the processor, the light sources and the imaging chips.
A system for noninvasive measurement of physiological conditions on the surface of the skin, wherein the target is a human patient comprising:
- a base comprising two or more arrays, each array comprising two or more imaging cells wherein each imaging cell comprises an imaging chip that comprises a lens and each imaging cell comprises two or more light sources located adjacent to the imaging chip with each of the light sources having a defined emission spectra and angle of illumination wherein the two or more light sources are configured to not contact the skin, and wherein the imaging chip is positioned to receive light reflected from the skin without contacting the skin, wherein the light source emission spectra and angle of illumination are selected to optimize the amount of light that is transmitted through an interface between the light array and the skin, while minimizing the light that is reflected off of the surface that would be directly incident on the imaging chip by illuminating a portion of the skin not including a given image point on the skin;
- and
- a processor in communication with the imaging cells, wherein the processor calculates a transform of time variations of the at least a portion of the spatial images to distinguish between target and non-target image information based on differing frequency behaviors;
- wherein the processor can trigger an alarm if the processor detects a change in a parameter of a non-target, the presence of a non-target, absence of a previously present non-target, or movement of a target or non-target, including:
- a change in surface conditions, movement, moisture, temperature changes, a solid object, a liquid, and oxygenation changes and the processor can detect a non-target including:
- a mattress, a mattress cover, a sheet, a wedding ring, an outline of a patient or a fluid.
A system for noninvasive evaluation of a target versus a non-target on a living target, comprising:
- one or more imaging cells wherein each imaging cell comprises:
- an imaging chip that comprises a lens;
- two or more light sources located adjacent to the imaging chip, wherein the two or more light sources are directed at the target and illuminate a portion of the target not including a given image point on the target wherein the two or more light sources are configured to not contact the target;
- wherein the imaging chip is positioned to capture light reflected from the target comprising one or more two dimensional spatial images of the target without contacting the target;
- and
- a processor in communication with the imaging cells, wherein the processor calculates a transform of time variations of the at least a portion of the spatial images to distinguish between target and non-target image information based on differing frequency behaviors, wherein the living background values in the spatial images of the target are separated from non-target values;
- and
- a display that shows an image that shows where non-targets are located at or about the surface of the human body or in between the human body and an item of clothing.
Dependencies are inferred from the claim text.