Apparatus, system and method for evaluation of esophageal function

• US 7,604,598 B2
• Filed: 11/22/2004
• Issued: 10/20/2009
• Est. Priority Date: 05/23/2002
• Status: Expired due to Fees

• Current Assignee: Hadasit Medical Research Services & Development Ltd (Hadassah, The Women's Zionist Organization of America, Inc.)
• Original Assignee: Hadasit Medical Research Services & Development Ltd (Hadassah, The Women's Zionist Organization of America, Inc.)
• Inventors: Lysiansky, Michael, Rein, Azaria J J T
• Primary Examiner(s): Casler; Brian
• Assistant Examiner(s): LAMPRECHT, JOEL
• Application Number:
  US10/996,188
• Publication Number:
  US 20050124888A1
• Time in Patent Office: 1,793 Days
• Field of Search: 600437-472, 600/407, 600/547, 600/412, 606/140
• US Class Current: 600/443
• CPC Class Codes: A61B 8/0833 involving detecting or locating foreign bodies or organic structures
• CPC Class Codes: A61B 8/481 involving the use of contrast agent, e.g. microbubbles introduced into the bloodstream analysis of echo signal exploiting properties of a contrast enhancer in devices for short-range imaging with acoustic waves G01S7/52039

Abstract

A method, system and apparatus for ultrasonically imaging boli that are swallowed, as they are passed through the esophagus. The trajectories of the boli are tracked, and image data corresponding to the esophagus thereby identified. Analysis of boli and esophagus image data enable esophageal parameters correlated thereto to be determined.

Claims

1. An external, non-invasive method for monitoring passage of at least one food bolus through an esophagus whereby to evaluate esophageal function of a patient, comprising the steps:

(a) non-invasively placing proximate an outside surface of the patient at least one ultrasonic transducer;

(b) acquiring, from said ultrasonic transducer, ultrasonic image data of said at least one bolus at a plurality of temporal intervals as said at least one bolus passes through the esophagus after being swallowed by the patient;

(c) tracking said at least one bolus in said image data to identify esophagus and bolus image data corresponding to said bolus and to said esophagus in said image data by;

(1) determining global motion of the esophagus in the image data acquired in step (b);

(2) aligning image data in consecutive image data by correcting for the global motion determined in step (c)(1); and

(3) identifying esophagus image data by first identifying a position of the bolus image in successive images corresponding to the bolus traversing the esophagus; and

(d) determining at least one esophagus function parameter from the said bolus and esophagus image data.

2. A method as claimed in claim 1, wherein step (c)(1) is preceded by the step of choosing a region of interest in said image data acquired in step (b) wherein step (c)(1) is performed on the region of interest image data.

3. A method as claimed in claim 2, wherein step (c)(1) is performed by determining the global motion of a reference zone of the image data at said plurality of temporal intervals.

4. A method as claimed in claim 3, wherein said reference zone is such that there is relatively insignificant relative movement between said reference zone and said esophagus in said image data.

5. A method as claimed in claim 1, further comprising the step:

(c)(4) projecting the esophagus image data identified in step (c)(3) to a polygonal image matrix.

6. A method as claimed in claim 5, wherein said polygonal image matrix is in a form of a rectangle.

7. A method as claimed in claim 5, wherein step (d) comprises the sub-steps:

(d)(1) obtaining one-dimensional image data corresponding to a line of the esophagus image data obtained in step (c)(4) for each esophagus image data along said plurality of temporal intervals;

(d)(2) constructing an M-mode representation of the data provided in step (d)(1); and

(d)(3) identifying trajectories of boli in said M-mode representation and determining at least one esophagus parameter therefrom.

8. A method as claimed in claim 7, wherein in step (d)(1) said line is a midline of said esophagus image data.

9. A method as claimed in claim 7, wherein said esophagus parameter is a velocity of said at least one bolus.

10. A method as claimed in claim 5, wherein step (d) comprises the sub-steps:

(d)(1) choosing at least one station along one said esophagus image data frame;

(d)(2) choosing at least one control zone at said at least one station;

(d)(3) identifying a control zone in a subsequent esophagus image data frame having closest image data to said at least one control zone of said at least one station in step (d)(2);

(d)(4) determining displacement of the control zone in step (d)(2) and the control zone identified in step (d)(3); and

(d)(5) determining at least one esophagus parameter therefrom and/or from a time interval between said image data frame and said subsequent image data frame.

11. A method as claimed in claim 10, wherein said esophagus parameter is a velocity of said at least one bolus.

12. A method as claimed in claim 11, wherein another said esophagus parameter is an acceleration of said at least one bolus.

13. A method as claimed in claim 10, wherein step (d)(3) is performed by means of minimizing a SAD (Sum of Absolute Differences) between an image of the control zone in (d)(2) and an image of the control zone identified in step (d)(3).

14. A method as claimed in claim 10, wherein steps (d)(1) to (d)(5) are performed for each consecutive pair of esophagus image frames along a time domain.

15. A method as claimed in claim 1, wherein in step (b) said image data further comprises dynamic image data for each of said temporal intervals.

16. A method as claimed in claim 15, wherein said dynamic image data comprises Doppler velocity and is acquired by means of a Doppler technique.

17. A method as claimed in claim 15, wherein in step (c) bolus image data is identified by determining higher velocity regions of the image data.

18. A method as claimed in claim 17, wherein said higher velocity regions are visualized using a colour-coded tissue velocity imaging technique.

19. A method as claimed in claim 15, wherein step (d) is performed substantially in real-time.

20. A method as claimed in claim 15, wherein step (d) is performed in off-line.

21. A method as claimed in claim 15, wherein step (c) is carried out for a first portion of image motion data in step (b) corresponding to an imaginary axis within said image motion data recorded at each said time interval to provide velocity data along said axis.

22. A method as claimed in claim 21, wherein said imaginary axis is substantially aligned with a longitudinal axis of the esophagus.

23. A method as claimed in claim 22, wherein said first portion of said image motion data corresponding to said imaginary axis is compiled from each consecutive image data obtained at consecutive time intervals in step (b) to provide velocity data along said axis as a function of time.

24. A method as claimed in claim 23, wherein a position and trajectory of a bolus along said axis with respect to time is correlated to portions of said velocity data having relatively higher magnitudes of velocity among said velocity data.

25. A method as claimed in claim 24, wherein average velocity of a bolus along said axis is determined by identifying the trajectory of the bolus in said velocity data and providing the quotient of:

(distance covered by the bolus along said axis) divided by (the corresponding time taken by the bolus).

26. A method as claimed in claim 25, wherein the position and trajectory of a number of consecutive boli along said axis with respect to time is correlated to corresponding portions of said velocity data having higher magnitudes of velocity among said velocity data.

27. A method as claimed in claim 26, wherein inter-bolus distance and or inter boli time interval along said axis is determined by identifying the trajectory of two consecutive boli in said velocity data and providing the distance between the two trajectories at any particular time interval within these trajectories.

28. A method as claimed in claim 16, wherein step (c) is carried out for a second portion of image motion data in step (b) corresponding to at least one predetermined location within said image motion data recorded at each said time interval to provide velocity data at said location.

29. A method as claimed in claim 28, wherein said at least one predetermined location is located substantially on a longitudinal axis of the esophagus.

30. A method as claimed in claim 29, wherein said second portion of said image motion data corresponding to said location is compiled from each consecutive image data obtained at consecutive time intervals in step (b) to provide velocity data at said location as a function of time.

31. A method as claimed in claim 30, wherein direction and velocity of boli passing through said location with respect to time is correlated to portions of said velocity data having relatively higher magnitudes of velocity among said velocity data.

32. A method as claimed in claim 31, wherein peak velocity of a bolus passing through said location is determined by identifying a corresponding velocity peak in said velocity data.

33. A method as claimed in claim 32, wherein a mode of propagation of a number of consecutive boli at said location with respect to time is correlated to an integral of the velocity data with respect to time.

34. A method as claimed in claim 33, wherein the mode of propagation of the esophagus is antegrade mode, retrograde mode and non-propulsive modes, according to whether the said integral is substantially positive, negative or zero, respectively.

35. A method as claimed in claim 15, wherein said ultrasonic image motion data in step (b) is procured using a tissue velocity imaging technique.

36. A method as claimed in claim 1, wherein said at least one esophagus function parameter comprises at least one, preferably more than one and more preferably all of the following:

propagation direction, inter-boli time interval, inter-boli space interval, velocity and acceleration of peristaltic waves.

37. A method as claimed in claim 1, wherein at least one bolus is liquid, and thus substantially incompressible, wherein the boli propagation, inter-bolus time interval, and velocity are particularly closely related to equivalent peristaltic wave characteristics of an esophageal wall.

38. An external, non-invasive comparative method for assessing an effect of a predetermined factor on esophageal function of a patient, comprising:

(i) evaluating the esophageal function of said patient by following the steps;

(a) non-invasively placing proximate an outside surface of the patient at least one ultrasonic transducer;

(b) acquiring, from said ultrasonic transducer, ultrasonic image data of at least one bolus at a plurality of temporal intervals as said at least one bolus passes through the esophagus after being swallowed by the patient;

(c) tracking said at least one bolus in the image data to identify esophagus and bolus image data corresponding to said bolus and to said esophagus in said image data by;

(1) determining global motion of the esophagus in the image data acquired in step (b);

(2) aligning image data in consecutive image data by correcting for the global motion determined in step (c)(1); and

(3) identifying esophagus image data by first identifying a position of the bolus image in successive images corresponding to the bolus traversing the esophagus; and

(d) determining at least one esophagus function parameter from the said bolus and esophagus image data,

wherein said bolus initially swallowed by the patient conforms to a first condition;

(ii) repeating step (i), but wherein the bolus is now swallowed by the patient conforming to a second condition; and

(iii) comparing results obtained between steps (i) and (ii).

42. A method as claimed in claim 38, wherein the particular foodstuff being investigated includes a new milk formula or cereal.

43. An external, non-invasive comparative method as claimed in claim 38, particularly for assessing an effect of a position of the patient on the esophageal function of the patient, comprising:

(i) evaluating the esophageal function of said patient by following the steps;

(a) non-invasively placing proximate an outside surface of the patient at least one ultrasonic transducer;

(b) acquiring, from said ultrasonic transducer, ultrasonic image data of at least one bolus at a plurality of temporal intervals as said at least one bolus passes through the esophagus after being swallowed by the patient;

(c) tracking said at least one bolus in the image data to identify esophagus and bolus image data corresponding to said bolus and to said esophagus in said image data by;

(1) determining global motion of the esophagus in the image data acquired in step (b);

(2) aligning image data in consecutive image data by correcting for the global motion determined in step (c)(1); and

(3) identifying esophagus image data by first identifying a position of the bolus image in successive images corresponding to the bolus traversing the esophagus; and

(d) determining at least one esophagus function parameter from the said bolus and esophagus image data,

wherein said bolus is initially swallowed by the patient while in a first position;

(ii) repeating step (i) but wherein the bolus is preferably a same type of food as in step (i) and is now swallowed by the patient while in a second position; and

(iii) comparing results obtained between steps (i) and (ii).

44. A method as claimed in claim 43, wherein said first position and said second position include any one of sitting, lying down, standing, and bending over.

39. An external, non-invasive comparative method for assessing an effect of added medication on esophageal function of a patient, comprising:

(i) evaluating the esophageal function of said patient by following the steps;

(a) non-invasively placing proximate an outside surface of the patient at least one ultrasonic transducer that is aligned substantially with a longitudinal axis of the esophagus of the patient;

(b) acquiring, from said ultrasonic transducer, ultrasonic image data of at least one bolus at a plurality of temporal intervals as said at least one bolus passes through the esophagus after being swallowed by the patient;

(c) tracking said at least one bolus in the image data to identify esophagus and bolus image data corresponding to said bolus and to said esophagus in said image data by;

(1) determining global motion of the esophagus in the image data acquired in step (b);

(2) aligning image data in consecutive image data by correcting for the global motion determined in step (c)(1); and

(3) identifying esophagus image data by first identifying a position of the bolus image in successive images corresponding to the bolus traversing the esophagus; and

(d) determining at least one esophagus function parameter from the said bolus and esophagus image data,

wherein said bolus of step (b) does not comprise said added medication;

(ii) repeating step (i), wherein the bolus of step (b) now comprises said added medication; and

(iii) comparing results obtained between steps (i) and (ii).

40. A method as claimed in claim 39, wherein said added medication includes at least one anti-reflux medication.

41. An external, non-invasive comparative method for assessing an effect of particular foodstuffs on esophageal function of a patient, comprising:

(i) evaluating the esophageal function of said patient by following the steps;

(a) non-invasively placing proximate an outside surface of the patient at least one ultrasonic transducer that is aligned substantially with a longitudinal axis of the esophagus of the patient;

(b) acquiring, from said ultrasonic transducer, ultrasonic image data of at least one bolus at a plurality of temporal intervals as said at least one food bolus passes through the esophagus after being swallowed by the patient;

(c) tracking said at least one bolus in the image data to identify esophagus and bolus image data corresponding to said bolus and to said esophagus in said image data by;

(1) determining global motion of the esophagus in the image data acquired in step (b);

(2) aligning image data in consecutive image data by correcting for the global motion determined in step (c)(1); and

(3) identifying esophagus image data by first identifying a position of the bolus image in successive images corresponding to the bolus traversing the esophagus; and

(d) determining at least one esophagus function parameter from the said bolus and esophagus image data,

wherein said bolus initially swallowed by the patient comprises a datum foodstuff

(ii) repeating step (i) but wherein the bolus now swallowed by the patient replaced by a bolus of the particular foodstuff being investigated; and

(iii) comparing results obtained between steps (i) and (ii).

45. An external, non-invasive system for evaluating esophageal function of a patient, comprising:

at least one ultrasonic transducer;

an ultrasonic imaging system electrically coupled to the ultrasonic transducer;

at least one analysis unit electrically coupled to the ultrasonic imaging system, characterized in that the at least one analysis unit is adapted for evaluating esophageal function by performing;

(a) acquiring, from said ultrasonic transducer, which has been non-invasively placed proximate an outside surface of the patient, ultrasonic image data of at least one bolus at a plurality of temporal intervals as said at least one bolus passes through the esophagus after being swallowed by the patient;

(b) tracking said at least one bolus in the image data to identify esophagus and bolus image data corresponding to said bolus and to said esophagus in said image data by;

(1) determining global motion of the esophagus in the image data acquired in step (a);

(2) aligning image data in consecutive image data by correcting for the global motion determined in step (b)(1); and

(3) identifying esophagus image data by first identifying a position of the bolus image in successive images corresponding to the bolus traversing the esophagus; and

(c) determining at least one esophagus function parameter from the said bolus and esophagus image data.