115 results about "Quantitative imaging" patented technology

A method of noncontact imaging for performing qualitative and quantitative analysis of wounds includes the step of performing structured illumination of surface and subsurface tissue by both diffuse optical tomography and rapid, wide-field quantitative mapping of tissue optical properties within a single measurement platform. Structured illumination of a skin flap is performed to monitor a burn wound, a diabetic ulcer, a decubitis ulcer, a peripheral vascular disease, a skin graft, and / or tissue response to photomodulation. Quantitative imaging of optical properties is performed of superficial (0-5 mm depth) tissues in vivo. The step of quantitative imaging of optical properties of superficial (0-5 mm depth) tissues in vivo comprises pixel-by-pixel demodulating and diffusion-model fitting or model-based analysis of spatial frequency data to extract the local absorption and reduced scattering optical coefficients.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

The present disclosure provides for improved image analysis via novel deblurring and segmentation techniques of image data. These techniques advantageously account for and incorporate segmentation of biological analytes into a deblurring process for an image. Thus, the deblurring of the image may advantageously be optimized for enabling identification and quantitative analysis of one or more biological analytes based on underlying biological models for those analytes. The techniques described herein provide for significant improvements in the image deblurring and segmentation process which reduces signal noise and improves the accuracy of the image. In particular, the system and methods described herein advantageously utilize unique optimization and tissue characteristics image models which are informed by the underlying biology being analyzed, (for example by a biological model for the analytes). This provides for targeted deblurring and segmentation which is optimized for the applied image analytics.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

The invention is a differential 3D Quantitative-Imaging Ultrasonic Tomography method for inspecting a layered system that is comprised of a heterogeneous object embedded in a volume of space that comprises layers having an acoustic impedance gradient between the layers providing non-linear beams travels. A transducer grid is attached to the surface of the layered system in a unilateral manner. By sequentially changing the distance between transmitter and receiver the fastest travel times of the ultrasonic oscillations are measured. A differential approach provides from the data the longitudinal wave velocities values for each elementary volume that make up an inspected volume. These values are used to construct two and three-dimensional maps of the longitudinal wave velocity values distribution in the inspected volume and the porosity values distribution in the heterogeneous object. By applying statistical treatment to the obtained data the longitudinal wave velocity in the inspected material matrix part is estimated.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

The invention discloses a scanning type laser ultrasonic detection method and system. The scanning type laser ultrasonic detection method comprises the following steps: controlling a laser to generate pulse laser beams by using host computer software; performing two-dimensional scanning on a tested material in the horizontal X-Y axis direction by using a galvanometer scanning device; receiving generated longitudinal wave signals by using a longitudinal wave sensor centered at a testing block; amplifying the received longitudinal wave signals, acquiring the generated longitudinal wave signals by using a digital A / D acquisition card, and performing band-pass filtering on acquired ultrasonic signals by using the host computer software; and controlling a scanning moving mirror system to perform two-dimensional scanning imaging on the surface of the material by using a computer control circuit system, and rapidly performing opto-acoustic imaging on the longitudinal wave signals received in the two-dimensional scanning process according to the fact that primary longitudinal wave peak value signals indicating whether the surface of the material has crack defects or not reach the sensor at different moments, thereby achieving rapid quantitative imaging detection on the defects of the detected material. The scanning type laser ultrasonic detection method is small in computer processing data amount, and the material defects can be directly quantitatively detected in a longitudinal wave transmitted image.

The invention discloses a quantitative imaging method and device of magnetic resonance. In the method, a magnetic resonance quantitative value is obtained according to a second deep neural network, the deep neural network as a data driving type model can describe the real world accurately, and compared with a present quantitative imaging mathematical model for calculating the magnetic resonance, the more accurate magnetic resonance quantitative value can be obtained according to the deep neural network model. In addition, the deep neural network runs faster, the computation time for the magnetic resonance quantitative value can be reduced, and the obtaining efficiency is improved. Input data of the second deep neural network model includes a reconstructed image, and the image reconstruction method via the deep neural network is higher in the image reconstruction rate. Thus, the image reconstruction method helps improving the quantitative imaging speed of magnetic resonance.

A voxel-based technique is provided for performing quantitative imaging and analysis of tissue image data. Serial image data is collected for tissue of interest at different states of the issue. The collected image data may be normalized, after which the registered image data is analyzed on a voxel-by-voxel basis, thereby retaining spatial information for the analysis. Various thresholds are applied to the registered tissue data to predict or determine the evolution of a disease state, such as brain cancer, for example.

The invention discloses a method for quickly measuring the fluorescence resonance energy transfer (FRET) efficiency based on simultaneous dual-channel fluorescence intensity detection. The method disclosed by the invention has the benefits that under the situations that a donor and a receptor are not required to be selectively excited, and the donor fluorescence and the receptor fluorescence are also not required to be selectively collected and detected, fast FRET quantitative imaging detection is realized; the method has low requirements for configuration of an instrument and is low in cost, and exciting light is only required to be switched once in the measuring process, thereby having the advantages that fast real-time dynamic measurement can be performed, and the fast FRET quantitative imaging detection under a millisecond time scale can be realized. Therefore, the method disclosed by the invention has an important application value on FRET quantitative real-time dynamic detection of live cells, thereby certainly greatly promoting the application of an FRET quantitative detection technology to cell biology.

An optical system includes more than two optical interferometers that generate interference phenomena between optical waves to measure a plurality of distances, a plurality of thicknesses, and a plurality of indices of refraction of a sample. An electromagnetic detector receives an output of the optical interferometers to render a magnified image of at least a portion of the sample. A controller reduces or eliminates undesired optical signals through a hierarchical phase unwrapping of the output of the electromagnetic detector.

The invention proposes to combine spectral image data with non-spectral image data in order to overcome limitations of the different data taking methods. Results from the methods are preferably combined as functions of spatial frequency so that spectral image data provide high accuracy at low frequencies, whereas the non-spectral image data helps reducing the noise at high frequencies. The invention enables a range of applications in different fields of X-ray imaging such as improved tissue contrast and tissue characterization.