Method and device for simplifying information obtained from electrical impedance tomography

• US 9,639,928 B2
• Filed: 11/05/2013
• Issued: 05/02/2017
• Est. Priority Date: 11/06/2012
• Status: Active Grant

• Current Assignee: Timpel Medical B.V.
• Original Assignee: Timpel S.A.
• Inventors: Holzhacker, Rafael
• Primary Examiner(s): Le, Vu
• Assistant Examiner(s): WOLDEMARIAM, AKLILU K
• Application Number:
  US14/441,167
• Publication Number:
  US 20150287186A1
• Time in Patent Office: 1,274 Days
• Field of Search: 382128, 382129, 382130, 382131, 382132, 600547, 600301
• CPC Class Codes: A61B 5/0536 Impedance imaging, e.g. by tomography
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/748 Selection of a region of interest, e.g. using a graphics tablet
• CPC Class Codes: A61B 5/7485 Automatic selection of region of interest
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06T 11/003 Reconstruction from projections, e.g. tomography
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/20021 Dividing image into blocks, subimages or windows
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06T 7/12 Edge-based segmentation
• CPC Class Codes: G06T 7/40 Analysis of texture depth or shape recovery from texture G06T7/529
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method and apparatus to simplify information obtained through electrical impedance tomography, the method comprising the steps of data collection through electrical impedance tomography and the respective processing thereof; the application of at least one algorithm to detect conditions, trends and specific events, so as to allow the identification of at least one region of interest as well as the production of an image including at least such region, which can be pre-defined or defined by the user. The graphical representation of the region of interest can be obtained through the use of a color, texture, figure, contour, etc. The data processed can consist of the impedance values or data derived thereof.

Claims

1. A method to generate and display a simplified representation of information obtained through electrical impedance tomography, the method comprising:

collecting electrical impedance tomography (EIT) data through operation of an electrical impedance tomography apparatus on a body;

processing the EIT data to detect one or more of a major condition, trend, or event therefrom;

defining at least one region of interest of a lung from the EIT data, the at least one region of interest comprising a set of two or more pixels determined to have in common the major condition, trend, or event detected from analyzing the EIT data, wherein at least some pixels of the set have different impedance values; and

generating and displaying a graphical representation of the lung of the EIT data on an electronic display, the graphical representation of the lung displayed with a common visual feature over the at least one region of interest that overrides display of impedance information of each individual pixel within the at least one region of interest.

2. The method of claim 1, wherein processing the EIT data includes processing the EIT data directly or processing data derived from the EIT data.

3. The method of claim 1, wherein steps of collecting, processing, and defining are repeated over time to update the graphical representation.

4. The method of claim 1, wherein the at least one region of interest is automatically defined responsive to data being processed.

5. The method of claim 1, wherein the at least one region of interest is pre-defined.

6. The method of claim 1, wherein the at least one region of interest is defined by the user.

7. The method of claim 1, wherein the at least one region of interest is modified over time.

8. The method of claim 1, wherein the common visual feature includes one or more of a common:

color;

texture;

figure;

or

contours outlining the at least one region of interest.

9. The method of claim 1, wherein processing the EIT data includes detecting predominance of the major condition selected from the group consisting of atelectasis, hyperdistention, tidal recruitment, phase-shift ventilation, pulmonary shunt, dead spaces, abnormal dynamic pattern of ventilation, abnormal ventilation distribution, abnormal anatomy, pulmonary hypertension, abnormal volemic status (high or low), pulmonary resistance, and pulmonary compliance.

10. The method of claim 1, wherein processing the EIT data includes detecting an occurrence of an event in the at least one region of interest, wherein the event is selected from the group consisting of pneumothorax, blockage, and selective intubation.

11. The method of claim 1, wherein processing the EIT data includes detecting a trend in the at least one region of interest, wherein the trend includes an increasing alveolar collapse.

12. The method of claim 1, further comprising displaying a suggested procedure with the graphical representation, the suggested procedure selected from the group consisting of an alveolar recruitment maneuver, adjustment of an artificial ventilator, patient hydration, and a weaning maneuver.

13. The method of claim 8, wherein displaying the graphical representation of at least one region of interest of the lung includes displaying a combination of two or more visual features corresponding to different conditions, events or trends.

14. The method of claim 13, wherein the two or more visual features are overlapped and simultaneously displayed within the at least one region of interest of the graphical representation of the lung.

15. The method of claim 13, wherein the two or more graphical features are alternately displayed within the graphical representation of the lung.

16. The method of claim 13, wherein the two or more graphical features are displayed within the graphical representation of the lung in order of priority for the different conditions, events, or trends detected.

17. An apparatus to simplify information obtained through electrical impedance tomography, the apparatus comprising:

an electrical impedance tomography (EIT) apparatus configured to acquire an impedance signal as EIT data;

an electronic display;

a processor operably coupled with the EIT apparatus and the electronic display, and configured to;

define at least one region of interest responsive to processing the EIT data, each region of interest including two or more pixels having a common major condition, trend, or event; and

generate and display output images of a lung on the electronic display including overriding the impedance information of the two or more pixels within the at least one region of interest with a graphical representation that is substantially uniform visually including for pixels within the at least one region of interest having different underlying impedance values.

18. The apparatus of claim 17, further comprising at least one of the following elements:

a device configured to record the generated output images;

a transmitter configured to transmit the generated output images;

a printer configured to print the generated output images;

a user interface configured to enable a user to define regions of interest;

or

a memory device configured to store the regions of interest.

19. The apparatus of claim 17, wherein the graphical representation is substantially uniform visually according to one or more of a color, a texture, a figure, or a contour outlining the two or more pixels of the at least one region of interest.