INTERACTIVE DATA ACQUISITION AND RECONSTRUCTION BY A MAGNETIC RESONANCE SYSTEM

Abstract

The disclosure relates to a method for the interactive acquisition of data from an object under investigation by a magnetic resonance system. The data is acquired from the object under investigation with the magnetic resonance system and images are automatically reconstructed and displayed in real time based on the data. A time interval is determined during which a predetermined condition is met in the images. Quality images are automatically reconstructed based on the data acquired within the time interval. The temporal resolution during reconstruction of the quality images is higher than the temporal resolution during reconstruction of the images.

Claims

1. A method for the interactive acquisition of data from an object under investigation by a magnetic resonance (MR) system, the method comprising: acquiring the data from the object under investigation using the magnetic resonance system; automatically reconstructing and displaying MR images, in real time, based on the acquired data; determining a time interval, during which a predetermined condition in the MR images is met; and automatically reconstructing quality MR images based on the data acquired within the time interval, wherein a temporal resolution during reconstruction of the quality MR images is higher than a temporal resolution during reconstruction of the MR images.

2. The method of claim 1, wherein the object under investigation comprises a heart of a living fetus within the body of a mother of the fetus.

3. The method of claim 2, wherein the predetermined condition is met when no movement of the fetus is acquired within the time interval.

4. The method of claim 1, wherein the data is acquired by radial data acquisition, and wherein two temporally directly successively acquired radially extending trajectories, in each case, form an angle corresponding to a golden angle.

5. The method of claim 4, wherein a same predetermined set of radially extending trajectories are repeatedly acquired during the radial data acquisition, and a number of trajectories of the set corresponds to a high number in a Fibonacci sequence.

6. The method of claim 5, wherein one or both of the MR images and the MR quality images are reconstructed based on parameters precalculated for the trajectories.

7. The method of claim 1, wherein the data is acquired by radial data acquisition, and wherein the data is acquired based on predetermined trajectories having a pseudo-random distribution.

8. The method of claim 7, wherein one or both of the MR images and the MR quality images are reconstructed based on parameters precalculated for the predetermined trajectories.

9. The method of claim 1, wherein the MR quality images are automatically reconstructed by a K-T sparse SENSE reconstruction.

10. The method of claim 1, wherein the automatic reconstruction of the quality images comprises: reconstructing intermediate images from the data; deriving information about a cardiac activity of the fetus from the intermediate images; and reconstructing the MR quality images depending on the derived information about the cardiac activity.

11. The method of claim 1, wherein the acquiring of the data comprises: acquiring data for a slice within the object under investigation; checking a position of the slice by the images displayed in real time; acquiring information for modifying the position of the slice depending on the images displayed in real time; modifying the position of the slice depending on the information; and acquiring the data from the slice in the modified position.

12. The method of claim 11, wherein the data is acquired by radial data acquisition, and wherein two temporally directly successively acquired radially extending trajectories, in each case, form an angle corresponding to a golden angle.

13. The method of claim 12, wherein a same predetermined set of radially extending trajectories are repeatedly acquired during the radial data acquisition, and a number of trajectories of the set corresponds to a high number in a Fibonacci sequence.

14. The method of claim 13, wherein one or both of the MR images and the MR quality images are reconstructed based on parameters precalculated for the trajectories.

15. The method of claim 11, wherein the data is acquired by radial data acquisition, and wherein the data is acquired based on predetermined trajectories having a pseudo-random distribution.

16. The method of claim 15, wherein one or both of the MR images and the MR quality images are reconstructed based on parameters precalculated for the predetermined trajectories.

17. The method of claim 11, wherein the automatic reconstruction of the quality images comprises: reconstructing intermediate images from the data; deriving information about a cardiac activity of the fetus from the intermediate images; and reconstructing the MR quality images depending on the derived information about the cardiac activity.

18. A magnetic resonance system configured to interactively acquire data from an object under investigation, the magnetic resonance (MR) system comprising: a HF control unit; a gradient control unit; an image sequence controller, wherein the HF control unit, the gradient control unit, and the image sequence controller are configured to acquire the data from the object under investigation; a computing unit configured to reconstruct MR images in real time based on the data; a display unit configured to display the reconstructed images; and an input unit configured to determine a time interval in which a specific condition is met in the images and reconstruct quality MR images based on the data acquired within the time interval, wherein a temporal resolution during reconstruction of the quality MR images is higher than a temporal resolution during reconstruction of the MR images.

19. An apparatus having a computer program product which comprises program code configured to loaded directly into a memory of a programmable controller of the apparatus, wherein the apparatus is configured, on execution of the program code, to at least perform: acquire the data from an object under investigation using a magnetic resonance system; automatically reconstruct and display MR images, in real time, based on the acquired data; determine a time interval, during which a predetermined condition in the MR images is met; and automatically reconstruct quality MR images based on the data acquired within the time interval, wherein a temporal resolution during reconstruction of the quality MR images is higher than a temporal resolution during reconstruction of the MR images.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The present disclosure is hereinafter described in detail based on exemplary embodiments with reference to the appended figures.

[0046] FIG. 1 depicts a schematic diagram of an example of a magnetic resonance system with which MR data may be acquired interactively from an object under investigation.

[0047] FIG. 2 depicts diagrammatically how the position of a slice may be modified based on the MR images displayed in real time.

[0048] FIG. 3 depicts a flow diagram of one embodiment of the method.

DETAILED DESCRIPTION

[0049] FIG. 1 depicts a magnetic resonance system with which, as is explained below, MR data may be acquired from an object under investigation. The magnetic resonance system 10 includes a magnet 11 for generating a polarization field BO, wherein a person under investigation 13 arranged on a couch 12 is advanced into the magnet 11 in order to capture spatially encoded magnetic resonance signals from the person under investigation 13 and, in particular, from a fetal heart located in the person under investigation 13. The coils used for signal capture, (e.g., a whole-body coil or local coils), are not shown for reasons of clarity. The disclosure may be applied in parallel imaging, in which the MR signals are simultaneously captured with a plurality of local coils or a coil array of local coils. The magnetization generated by the polarization field BO may be deflected from the equilibrium position and spatially encoded by applying high-frequency pulses and switching magnetic field gradients and the resultant magnetization is detected by the receive coils. The manner in which MR images may be produced by applying the HF pulses and switching magnetic field gradients in various combinations and sequences is known in principle to a person skilled in the art and is not explained in any greater detail here.

[0050] The magnetic resonance system 10 furthermore includes a control unit 20 that may be used for controlling the magnetic resonance system 10. The controller 20 includes a gradient control unit 15 for controlling and switching the necessary magnetic field gradients. A HF control unit 14 is provided for controlling and generating the HF pulses for deflecting the magnetization. An image sequence controller 16 controls the sequence of magnetic field gradients and HF pulses and thus indirectly controls the gradient control unit 15 and the HF control unit 14. An operator may control the magnetic resonance system and input information via an input unit 17, while MR images and other information required for control may be displayed on a display unit 18. A computing unit 19 with at least one processor unit (not shown) is provided for controlling the various units in the control unit 20. A memory unit 21 (e.g., a memory) is furthermore provided, in which program modules or programs may for example be stored, which, when executed on the computing unit 19 or the processor unit (e.g., processor) thereof, are capable of controlling running of the magnetic resonance system. The computing unit 19 is configured, as is explained below, to calculate the MR images and the quality MR images from the acquired MR data.

[0051] FIG. 2 depicts diagrammatically how the position of a slice in which MR data is to be acquired may be modified.

[0052] Based on overview images, an operator (e.g., a physician operating the magnetic resonance system) places a slice 4 in the desired portion of the volume of the object under investigation (e.g., in the heart of the fetus in utero). MR images (not shown), which are reconstructed based on the MR data acquired in the slice 4 and displayed in real time, enable the operator very quickly to check whether the position of the slice 4 is correct. If the operator is not satisfied with the current position of the slice, instructions or information may be acquired in order to modify the position depending on these instructions or this information.

[0053] FIG. 2 depicts possible changes in position of the slice. The image portions in FIG. 2 which are connected by the arrow labeled with reference sign 1 show a simple shift of the slice 4 without modification of the direction vector of the slice 4. In contrast, the image portions which are connected by the arrow labeled with reference sign 2 show a rotation of the slice 4, wherein the direction vector of the slice remains in the displayed plane. Finally, the image portions which are connected by the arrows labeled with reference sign 3 show a displacement of the slice 4 in which the slice 4 is both shifted and tilted.

[0054] As soon as the position of the slice 4 has been modified, for example, by one of the changes shown in FIG. 2, the next MR data is acquired for the respective current slice 4 and reconstructed in real time into a MR image which is displayed. As a result, the physician (e.g., user of the magnetic resonance system) receives immediate feedback as to whether the current position of the slice 4 matches his/her intention. If such is not the case, he/she may at any time once again modify or correct the position of the slice 4.

[0055] FIG. 3 depicts the flow diagram of one embodiment of the method.

[0056] MR data is acquired in act S1. Based on this MR data, MR images are reconstructed in act 2 in such a way that they are displayed in the same act S2 with a delay of less than the image refresh rate (thus as it were in real time).

[0057] In act S3, the physician (or user of the magnetic resonance system) checks based on the displayed MR images whether the position of the slice 4 matches his/her wishes (thus, for example, extends through the heart of the fetus). If such is not the case, the method branches to act S4, in which the physician modifies the position of the slice according to his/her intention, as is shown by way of example in FIG. 2. In this case, the method jumps back from act S4 to act S1.

[0058] If the physician is satisfied in act S3 with the current position of the slice 4, the method branches from act S3 to act S5. In act S5, the object is checked based on the displayed MR images of the slice 4 whether the object under investigation (e.g., the fetus) is sufficiently still. For the purposes of a fetal investigation, the mother is requested to hold her breath. If a troublesome movement of the object under investigation (e.g., fetus) is nevertheless identified based on the displayed MR images, the method jumps back to act S1. If, on the other hand, no troublesome movement of the object under investigation is identified from monitoring of the displayed MR images over a predetermined time interval, the method branches to act S6.

[0059] In act S6, it is checked whether the set of MR data which was acquired without troublesome movement is sufficiently large, for example, to investigate the heart of the fetus for a congenital disease. If such is the case, the method branches to act S7, wherein the examination is completed. Otherwise, the method returns back to act S1. Jumping back to act S1 provides that the method also passes once more through act S3, in which the position of the slice may be configured to a possible new position of the fetus.

[0060] The research was funded in part by the Facult de Biologie et Mdicine of the University of Lausanne and in part by the Swiss National Science Foundation for the promotion of scientific research, grant nos. 320030_143923 and 326030_150828.

[0061] It is to be understood that the elements and features recited in the appended claims may be combined in different ways to produce new claims that likewise fall within the scope of the present disclosure. Thus, whereas the dependent claims appended below depend from only a single independent or dependent claim, it is to be understood that these dependent claims may, alternatively, be made to depend in the alternative from any preceding or following claim, whether independent or dependent, and that such new combinations are to be understood as forming a part of the present specification.

[0062] While the present disclosure has been described above by reference to various embodiments, it may be understood that many changes and modifications may be made to the described embodiments. It is therefore intended that the foregoing description be regarded as illustrative rather than limiting, and that it be understood that all equivalents and/or combinations of embodiments are intended to be included in this description.