379 results about "Tissue type" patented technology

Systems and methods for discriminating and locating tissues within a body involve applying a waveform signal to tissue between two electrodes and measuring the electrical characteristics of the signal transmitted through the tissue. At least one of the electrodes is constrained in area so that localized electrical characteristics of the tissue are measured. Such localized electrical characteristics are determined over a portion of a body of the subject by using an array of electrodes or electrodes that can be moved over the body. A controller may implement the process and perform calculations on the measured data to identify tissue types and locations within the measured area, and to present results in graphical form. Results may be combined with other tissue imaging technologies and with image-guided systems.

An automated method and/or system for identifying suspected lesions in a brain is provided. A processor (a) provides a magnetic resonance image (MRI) of a patient's head, including a plurality of slices of the patient's head, which MRI comprises a multispectral data set that can be displayed as an image of varying pixel intensities. The processor (b) identifies a brain area within each slice to provide a plurality of masked images of intracranial tissue. The processor (c) applies a segmentation technique to at least one of the masked images to classify the varying pixel intensities into separate groupings, which potentially correspond to different tissue types. The processor (d) refines the initial segmentation into the separate groupings of at least the first masked image obtained from step (c) using one or more knowledge rules that combine pixel intensities with spatial relationships of anatomical structures to locate one or more anatomical regions of the brain. The processor (e) identifies, if present, the one or more anatomical regions of the brain located in step (d) in other masked images obtained from step (c). The processor (f) further refines the resulting knowledge rule-refined images from steps (d) and (e) to locate suspected lesions in the brain.

A method and apparatus for recognizing tissue types measures at least two separate and distinct properties of a tissue specimen using a probe tip containing electrodes coupled to circuitry that applies a measuring current and obtains values of electrical properties of the tissue such as conductivity and potential difference. An algorithm then uses the values to determine the tissue's type and condition.

The invention relates to apparatus and methods for measuring local tissue impedance for subcutaneous tissue surrounding a needle tip inserted into a subject, impedance spectra and/or complex impedance values are determined. The invention applies a monopolar impedance measuring setup with a needle, a current-carrying electrode, an optional reference electrode. The setup is configured to eliminate contributions from the current-carrying electrode in order to measure local impedance of tissue in the close neighbourhood of the needle tip instead of an averaged value over the volume or current path between the needle and the electrode(s). The determined impedance can be correlated with either a tissue type or state, or with a position of the needle tip in the subject, and can thereby provide an insertion history to the operator in the form of impedance or corresponding tissue type as a function of insertion depth or time.

The invention provides isolated stem cells of non-embryonic origin that can be maintained in culture in the undifferentiated state or differentiated to form cells of multiple tissue types. Also provided are methods of isolation and culture, as well as therapeutic uses for the isolated cells in cardiac indications.

A method and system for determining tissue type is provided. The system comprises an electronic control unit (ECU) configured to acquire a value of an electrical parameter between a first electrode electrically coupled with tissue and a second electrode. The ECU is further configured to identify a tissue type from a plurality of tissue types based at least on the acquired value, and in an exemplary embodiment, to generate a tissue morphology map comprising a marker representative of the identified tissue type. The method comprises acquiring a value of an electrical parameter between a first electrode electrically coupled with tissue and a second electrode. The method further comprises identifying a tissue type from a plurality of tissue types based on at least the acquired value of the electrical parameter, and in an exemplary embodiment, the method further comprises generating a tissue morphology map based on the identified tissue type.

A surgical tool such as a liposuction cannula is equipped with a sensor at the tool tip. The sensor continuously analyzes the type of tissue in contact with the tip based on the electrical properties of the tissue. When encountering a tissue type that should not be disturbed, the action of the surgical tool is stopped automatically. When used for liposuction, the cannula is mechanically decoupled from the handle when the wrong type of tissue is detected thus minimizing the inertia of the part that needs to be stopped. Besides electrical sensing, other sensors, such as mechanical or ultrasonic, can be used at the tip of the surgical tool or cannula to differentiate between tissue types

A method is described for determining biological tissue type based on a complex impedance spectra obtained from a probe with a conducting part adjacent a tissue region of interest, wherein the impedance spectra includes data from a number of frequencies. The method may include: obtaining, from the complex impedance spectra, a first data set representative of impedance modulus values, or equivalent admittance values, at one or more frequencies, obtaining, from the complex impedance spectra, a second data set representative of impedance phase angle values, or equivalent admittance values, at one or more different frequencies, applying a first discrimination criterion to the first data set, applying a second discrimination criterion to the second data set, and thereby determining if the tissue region of interest is a tissue type characterised by the discrimination criteria.

The present invention provides for a system, method, and device for analyzing, localizing and/or identifying tissue types. The method includes analyzing, localizing and/or identifying one or more tissue samples, characterized in that the method comprises: (a) generating gaseous tissue particles from a site in the one or more tissue samples, (b) transporting the gaseous tissue particles from the site to an analyser, (c) using the analyser for generating tissue-related data based on the gaseous tissue particles, and (d) analyzing, localizing and/or identifying the one or more tissue samples based on the tissue-related data. The invention can either be used in close conjunction with a surgical procedure, when one or more surgical tools are an integrated part of ionization, or as a separate mass spectrometric probe for the analysis of one or more tissue parts.

An integrated tool is provided, having a tissue-type sensor, for determining the tissue type at a near zone volume of a tissue surface, and a distance-measuring sensor, for determining the distance to an interface with another tissue type, for (i) confirming an existence of a clean margin of healthy tissue around a malignant tumor, which is being removed, and (ii) determining the depth of the clean margin. The integrated tool may further include a position tracking device and an incision instrument. The soft tissue may be held within a fixed frame, while the tumor is being removed. Additionally a method for malignant tumor removal is provided, comprising, fixing the soft tissue within a frame, performing imaging with the hand-held, integrated tool, from a plurality of locations and orientations around the soft tissue, reconstructing a three-dimensional image of the soft tissue and the tumor within, defining a desired clean margin on the reconstructed image, calculating a recommended incision path, displaying the recommended path on the reconstructed image, and cutting the tissue while determining its type, at the near zone volume of the incision surface. The method may further include continuously imaging with the cutting, continuously correcting the reconstructed image and the recommended incision path, and continuously determining the tissue type, at the near zone volume of the incision surface.

A tissue guidance system integrates an ultrasound imaging device with a tissue diagnostic probe. Ultrasound imaging is used to guide the tissue probe to the target area. Measurements made by the probe can then be analyzed to determine tissue type or state (e.g., malignant or benign).