MRI system with means to eliminate object movement whilst acquiring its image
A method of reducing the effect of object movements along MRI imaging. The method includes: acquiring a sequence of MRI consecutive images of an object; storing on a computer readable medium, for each of the images, at least one parameter p indicating spatial image orientation at which the image was taken; analyzing the sequence of the images for detection of the object movement; and tagging images of at least one movement of the object.
1. A method for reducing the effect of object movements along magnetic resonance imaging (MRI), the method comprising steps of:
during MRI imaging of an object:
a. acquiring a sequence, CI, of N consecutive MRI images where N is greater than 1, CI n , of the object;
b. for each of the N consecutive MRI images CI n , storing on a computer readable medium (CRM) at least one parameter, p, indicating a spatial image orientation at which a respective MRI image of the N consecutive MRI images said image was taken;
c. detecting movement of the object with one or more non-MRI motion detectors, and for each detected movement M analyzing the sequence CI to find a corresponding sequence CI M of K M images, CI k M , that were taken during said movement M;
d. for each detected movement M, determining a starting time T MS of said movement, an ending time T ME of said movement, a time length T M of said movement, and a movement spatial image orientation parameter P MS at the beginning the movement;
e. for each detected movement M, whose T M is shorter than a predetermined time length PT:
(i) acquiring a new sequence, NCI k M , of K M consecutive MRI images, NCI k M , starting at said P MS and
(ii) replacing said sequence CI k M with said NCI k M ;
f. repeating steps (c)-(e) until no more movements whose T M is shorter than said PT can be detected to produce an image sequence with reduced object-movement.
2. The method according to claim 1 , additionally comprising a step of selecting said non-MRI motion detectors from a group consisting of passive infrared sensors; detectors which sense body heat; mechanical detector; electronic detectors; optical detectors; acoustical detectors; sound detectors (acoustic sensors); opacity detectors (optical and infrared sensors and video image processors); geomagnetism detectors (magnetic sensors, magnetometers); reflection of transmitted energy detectors (infrared laser radar, ultrasonic sensors, and microwave radar sensors); electromagnetic induction detectors (inductive-loop detectors); vibration detectors (triboelectric, seismic, and inertia-switch sensors); and any combination thereof.
3. The method according to claim 1 , wherein said parameter p is selected from a group consisting of: angle of the image with respect to the object, spatial coordinates of the area of the image, location of MRI components and a combination thereof.
4. The method according to claim 1 , additionally comprising a step of selecting said object from a group consisting of: adult person, person under anesthesia, infant, premature baby, animal and a combination thereof.
5. The method according to claim 1 , additionally comprising a step of characterizing at least one of said movement M by the extent of said movement.
6. The method according to claim 1 , additionally comprising an image processing step prior to step (c); wherein said processing step comprising performing Fourier transformation on said consecutive images CI n to momentum space (K-space).
7. The method according to claim 6 , wherein said analyzing is performed on images in K-space.
8. The method according to claim 1 , wherein said object is selected from a group consisting of neonates, premature babies and laboratory animals.
9. The method according to claim 1 , free of a step of restraining said object whilst imaging.
10. A magnetic resonance imaging (MRI) system imaging a movable object comprising:
a. an MRI device adapted to take a sequence, CI, of N consecutive MRI images where N is greater than 1, CI n , of an object;
b. each of the N consecutive MRI images is characterized by at least one parameter p indicating a spatial image orientation at which a respective MRI image of the N consecutive MRI images was taken;
c. a computer readable medium (CRM) in communication with said MRI device; said CRM having instructions thereon for executing a method comprising steps of:
during MRI imaging of the object:
i. detecting movement of the object with one or more non-MRI motion detectors, and, for each detected movement M analyzing the sequence to find a corresponding sequence CI M of K M images, CI k M , in which said movement M is detected,
ii. for each detected movement M, determining a starting time T MS of said movement, an ending time T ME of said movement, a time length T M of said movement, and a movement spatial image orientation parameter P MS at the beginning the movement,
iii. for each said M, whose T M is shorter than a predetermined time length PT:
(a) acquiring a new sequence, NCI k M , of K M consecutive MRI images, NCI k M , starting at said P MS , and
(b) replacing said sequence CI k M with said NCI k M ;
iv. repeating steps (i)-(iii) until no more movements whose T M is shorter from said PT can be detected to produce an image sequence with reduced object-movement.
11. The MRI system according to claim 10 , wherein said MRI system additionally comprises a non-MRI motion detector.
12. The MRI system according to claim 11 , wherein said non-MRI motion detectors are selected from a group consisting of: passive infrared sensors; detectors which sense body heat; mechanical detector; electronic detectors; optical detectors; acoustical detectors; sound detectors (acoustic sensors); opacity detectors (optical and infrared sensors and video image processors); geomagnetism detectors (magnetic sensors, magnetometers); reflection of transmitted energy detectors (infrared laser radar, ultrasonic sensors, and microwave radar sensors); electromagnetic induction detectors (inductive-loop detectors); vibration detectors (triboelectric, seismic, and inertia-switch sensors); and any combination thereof.
13. The system according to claim 10 , wherein said parameter p is selected from a group consisting of: angle of the image with respect to the object, spatial coordinates of the area of the image, location of MRI components and a combination thereof.
14. The system according to claim 10 , wherein said object is selected from a group consisting of: adult person, person under anesthesia, infant, premature baby, animal and a combination thereof.
15. The system according to claim 10 , wherein at least one of said detected movements is characterized by extent of said movement.
16. The system according to claim 10 , wherein said instruction are additionally for performing Fourier transformation on said consecutive images CI n to momentum space (K-space) prior to said analysis.
17. The system according to claim 16 , wherein said analysis is performed on images in K-space.
18. The system according to claim 10 , wherein said object is selected from a group consisting of neonates, premature babies and laboratory animals.
19. The system according to claim 10 , wherein said object is not restrained along the imaging.