116 results about "Quantitative imaging" patented technology

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 deformably registered, 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 identify a tissue condition or state, such as classifying chronic obstructive pulmonary disease by disease phenotype in lung tissue, for example.

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.

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 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.

A method and apparatus for using deep learning in label-free cell classification and machine vision extraction of particles. A time stretch quantitative phase imaging (TS-QPI) system is described which provides high-throughput quantitative imaging, and utilizing photonic time stretching. In at least one embodiment, TS-QPI is integrated with deep learning to achieve record high accuracies in label-free cell classification. The system captures quantitative optical phase and intensity images and extracts multiple biophysical features of individual cells. These biophysical measurements form a hyperdimensional feature space in which supervised learning is performed for cell classification. The system is particularly well suited for data-driven phenotypic diagnosis and improved understanding of heterogeneous gene expression in cells.

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.

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 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 present invention comprises imaging and quantitative measurement of lung ventilation, particularly in a human lung. Methods for quantitative imaging of lung ventilation, and the further provided systems and algorithmic tools therefore, comprise three primary components: the combined MRI ventilation / perfusion (V / Q) imaging techniques using hyperpolarized helium-3 (3He) gas (H3He); the three-dimensional quantitative imaging of absolute lung perfusion (Q) and collection of local magnetic resonance image data therefrom to produce an absolute lung perfusion image data; and the algorithmic co-registration of the two image data sets, (HP-3He MRI image of V / Q and MR imaging of quantitative perfusion (Q) in the lung). From the data acquired in the combined data sets and their spatial co-registration, absolute ventilation (V) is computed.

The invention discloses an ultra-short time of echo magnetic resonance fingerprint relaxation time measuring method. According to the method, semi-pulse excitation and semi-projection readout are adopted to shorten TE to achieve acquisition of an ultra-short T2 time signal; and image acquisition and reconstruction are based on a magnetic resonance fingerprint imaging technology. A TE change mode of sinusoidal fluctuation is introduced, so that the distinguishing capability of a magnetic resonance fingerprint signal to short T2 and ultra-short T2 tissues is improved, and simultaneous multi-parameter quantitative imaging of the short T2 and ultra-short T2 tissues and long T2 tissues is realized. The non-uniformity of a magnetic field is modulated into phase information of the fingerprint signal through the TE of the sinusoidal fluctuation; a B0 graph is directly reconstructed according to an amplitude modulation signal demodulation principle; and the phase change caused by a B0 field iscompensated in the fingerprint signal, so that the accuracy of signal recognition is improved. In magnetic resonance skeletal muscle system imaging, simultaneous quantitative measurement of T1, T2, PDand B0 of the bone (ultra-short T2) and muscle (long T2) tissues can be realized; and the method can also be used for imaging the brain and measuring the grey / white matter relaxation time and the skull structure.

The invention discloses a mobile terminal-based color-change diagnosis test paper quantitative imaging system. The solution of an unknown solution can be accurately measured by use of colorimetric information in a relatively independent light source environment, and a cheap, fast and accurate health data measurement platform is provided; in the platform, a mobile terminal serves as a display and operation interface, and the installation process is simple and convenient; the measurement can be carried out simply by use of a mobile phone, an equipment shell, a test strip bracket and some sensing strips, for example, the measurement of glucose concentration or luteinizing hormone level in urine. The system disclosed by the invention is an integrated mobile platform based on traditional color-change diagnosis image analysis technology, and the platform can realize measurement more quantitatively than traditional color change diagnosis and can be clinically applied while integrating two functions of high-precision measurement and data visualization; and moreover, the cost is controlled in an acceptable range, and the mobile computing ability provides possibility of capturing, extracting and gathering the measured data in trend analysis from medicine respect.

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 provides a three-dimensional cavitation quantitative imaging method for microsecond-distinguished cavitation time-space distribution. The three-dimensional cavitation quantitative imaging method comprises the following steps: after wide beams are used for detecting the cavitation, an array transducer is moved by one unit position; after the cavitation-nucleus distribution is restored, and under the excitation of same cavitation energy, the wide beams are reused for detecting the cavitation, space-series two-dimensional cavitation original radio-frequency data with different unit positions is obtained; time-sequence two-dimensional cavitation original radio-frequency data can be obtained by changing the energy acting time of a cavitation source, the time delay between the excitation of an energy source device and the wide beams transmitted by the array transducer and the time delay between a pulsating pump and excitation of the energy source device; then a microsecond-distinguished cavitation three-dimensional time-space distribution image and a quantitative image of cavitation microbubble density can be obtained by combining minimum-variance self-adaptive beam synthesis of the wide beams, Nakagami parameter imaging and a three-dimensional reconstruction algorithm, and the time resolution can reach microseconds. The method has the potential of being developed into a standard three-dimensional cavitation imaging method similar to soundfield measurement.

Provided herein are imaging systems such as a system for quantitative tomography and a laser optoacoustic ultrasonic imaging system assembly (LOUISA) for imaging a tissue region, for example, a breast, in a subject. Generally, the system components are a laser that emits instant pulses of laser light in a wavelength cycling mode, fiberoptic bundles or optical arc-shaped fiber bundles configured to deliver laser light, an imaging module with an imaging tank, an optoacoustic array(s) of ultrawide-band ultrasonic transducers and ultrasound array(s) of ultrasonic transducers and a coupling medium and an electronics subsystem. Also provided is a method for imaging quantitative functional parameters and / or molecular parameters and anatomical structures in a volumetric tissue region of interest, such as a breast, in a subject utilizing the system for quantitative tomography.

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.

The Ultrasonic Tomographical method and system is provided using measurements of time of flight low frequency acoustic waves. Differences in first signal arrival times from plurality of known transmitters' locations to plurality of known receivers' location are used, wherein the transmitters and receivers are at an angle to the surface of the observed object. 3D mapping of the acoustic propagation speed is reconstructed, revealing anatomical details and physiological properties.

The invention discloses an X-ray differential phase contrast microscope system and a two-dimensional imaging method thereof. The X-ray differential phase contrast microscope system comprises a light source, a convergent lens, a center diaphragm, a beam splitting grating, a pin hole, a sample table, an object lens, an annular analysis grating and an imaging detector, wherein the light source is used for generating X rays; the convergent lens, the center diaphragm, the beam splitting grating, the pin hole, the sample table, the object lens, the annular analysis grating and the imaging detector are sequentially arranged in the X-ray spreading direction. The X-ray differential phase contrast microscope system has the beneficial effects that the X-ray differential phase contrast microscope system can realize the phase contrast quantitative imaging only through adding the beam splitting grating and the annular analysis grating in the conventional X-ray microscope; the advantages of simple structure and easy popularization are realized. In addition, the X-ray light source, the convergent lens and the beam splitting grating can be integrated into an X-ray annular grating source element; the length of the whole X-ray phase contrast microscope system can be further reduced; the manufacturing cost of the X-ray microscope system can be reduced; in addition, the light utilization efficiencyis further improved.

The present invention provides radiolabeled compounds useful as radiotracers for quantitative imaging of CH24H in mammals. The compound of the present invention is represented by the formula (I): wherein each symbol is as defined in the specification.

The invention discloses a magnetic resonance quantitative imaging method and device based on gradient echoes. The method comprises the following steps: firstly, changing the echo time and the turnoverangle for many times to obtain K gradient echo signals, and acquiring the k space data on each coil channel of each gradient echo signal; and then according to the gradient echo signals, k space dataand phases on each coil, and the sensitivity of each coil channel, establishing unknown factors including a mathematical model of magnetic sensitivity, proton density, T1, and T*2, and finally solving the magnetic sensitivity, the proton density, T1, and T*2 corresponding to the minimization of the mathematical model. The magnetic resonance quantification is directly solved as the unknown in themathematical model, and the regularization is directly directed to the resonance quantification, a magnetic resonance quantitative value is obtained by solving an equation solution, and more accurateresults can be obtained. According to the method, the accuracy and accuracy of magnetic resonance quantification can be improved, and the accuracy of clinical diagnosis is further improved.