Magnetic resonance imaging device and dementia monitoring system

1. A magnetic resonance imaging device, comprising:

a carrying unit;

an imaging unit;

a controlling computer; and

a signal processing computer, the signal processing computer comprises a controlling module, a data processing module, an image reconstructing module, and an image storing module; and the image reconstructing module form cross-sectional scanned images of an user's brain memory showing microstructure;

wherein the signal processing computer further comprises an image comparing module, the image comparing module is configured to analyze and compare size changes of the cross-sectional scanned images of the user's brain memory showing microstructure along a single direction or several different directions captured at different times, and the controlling computer shows different suggestions corresponding to different judgement results of the image comparing module; H1 is defined as a first changes threshold, H2 is defined as a second changes threshold, and H1<H2, the first changes threshold H1 and the second changes threshold H2 are reduction rate, a size Ln of the cross-sectional scanned image captured in the n th time is compared with a size L1 of the cross-sectional scanned image captured in the first time, and “n” is an integer greater than 1, the judgement results comprises at least three changes levels, namely:

the changes of the cross-sectional scanned images captured at different times is less than the first changes threshold H1, and (L1−Ln)/Ln<2%; the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times have no changes;

the changes of the cross-sectional scanned images captured at different times is greater than or equal to the first changes threshold H1 and less than or equal to the second changes threshold H2, and 2%<(L1−Ln)/Ln<5%; the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times have slight changes; and

the changes of the cross-sectional scanned images captured at different times is greater than the second changes threshold H2, and 5%<(L1−Ln)/Ln; the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times have changes.

2. The magnetic resonance imaging device as claimed in claim 1 , wherein the carrying unit comprises a rotatable bed and a bed rotator, and the bed rotator is configured to rotate the rotatable bed 360 degrees.

3. The magnetic resonance imaging device as claimed in claim 1 , wherein the imaging unit further comprises a rotatable scanning device, the rotatable scanning device is configured to changes a gradient direction of a gradient magnetic field and a direction of a radiofrequency magnetic field so that the user is scanned from different angles.

4. The magnetic resonance imaging device as claimed in claim 1 , wherein the imaging unit is suspended, and the carrying unit comprises a rotatable elevating platform and a user support located on the rotatable elevating platform.

5. The magnetic resonance imaging device as claimed in claim 1 , wherein the controlling computer comprises a user interface.

6. The magnetic resonance imaging device as claimed in claim 1 , wherein the controlling computer is to be connected to a mobile electronic device of the user, whereby a user operates the magnetic resonance imaging device by downloading and using an application.

7. The magnetic resonance imaging device as claimed in claim 1 , wherein a work method of the magnetic resonance imaging device comprises:

step (S 11 ), capturing cross-sectional scanned images of the user's brain memory showing microstructure;

step (S 12 ), analyzing and comparing the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times; and

step (S 13 ), judging changes of the cross-sectional scanned images and outputting a suggestion according to the changes of the cross-sectional images.

8. The magnetic resonance imaging device as claimed in claim 7 , wherein the work method of the magnetic resonance imaging device comprises:

capturing first cross-sectional scanned images along X direction, second cross-sectional scanned images along Y direction, and third cross-sectional scanned images along Z direction;

analyzing and comparing the first cross-sectional scanned images, the second cross-sectional scanned images, and the third cross-sectional scanned images;

judging changes of the first cross-sectional scanned images obtain a first judgement, judging changes of the second cross-sectional scanned images to obtain a second judgement, and judging changes of the third cross-sectional scanned images to obtain a third judgement;

obtaining a final judgement by comparing the first judgement, the second judgement, and the third judgement; and

outputting suggestion according to the final judgement.

9. A dementia detecting system, comprising:

a plurality of magnetic resonance imaging devices, wherein each of the plurality of magnetic resonance imaging devices comprises:

a carrying unit;

an imaging unit; and

a controlling computer;

a cloud server connected to the plurality of magnetic resonance imaging devices, wherein the cloud server comprises:

a controlling module;

a data processing module;

an image reconstructing module, the image reconstructing module form cross-sectional scanned images of an user's brain memory showing microstructure;

an image storing module; and

an image comparing module, wherein the image comparing module is configured to analyze and compare size changes of the cross-sectional scanned images of the user's brain memory showing microstructure along a single direction or several different directions captured at different times, and the cloud server sends different suggestions, corresponding to different judgement results of the image comparing module, to a mobile electronic device; H1 is defined as a first changes threshold, H2 is defined as a second changes threshold, and H1<H2, the first changes threshold H1 and the second changes threshold H2 are reduction rate, a size Ln of the cross-sectional scanned image captured in the n th time is compared with a size L1 of the cross-sectional scanned image captured in the first time, and “n” is an integer greater than 1, the judgement results comprises at least three changes levels, namely:

the changes of the cross-sectional scanned images captured at different times is less than the first changes threshold H1, and (L1−Ln)/Ln<2%; the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times have no changes;

the changes of the cross-sectional scanned images captured at different times is greater than or equal to the first changes threshold H1 and less than or equal to the second changes threshold H2, and 2%<(L1−Ln)/Ln<5%; the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times have slight changes; and

the changes of the cross-sectional scanned images captured at different times is greater than the second changes threshold H2, and 5%<(L1−Ln)/Ln; the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times have changes.

10. The dementia monitoring system as claimed in claim 9 , wherein the carrying unit comprises a rotatable bed and a bed rotator, and the bed rotator is configured to rotate the rotatable bed 360 degrees.

11. The dementia monitoring system as claimed in claim 9 , wherein the imaging unit further comprises a rotatable scanning device, the rotatable scanning device is configured to changes a gradient direction of a gradient magnetic field and a direction of a radiofrequency magnetic field so that the user is scanned from different angles.

12. The dementia monitoring system as claimed in claim 9 , wherein the imaging unit is suspended, and the carrying unit comprises a rotatable elevating platform and a user support located on the rotatable elevating platform.

13. The dementia monitoring system as claimed in claim 9 , wherein the controlling computer comprises a user interface.

14. The dementia monitoring system as claimed in claim 9 , wherein the controlling computer is to be connected to the mobile electronic device, so that the user operates the magnetic resonance imaging device by downloading an application.

15. The dementia monitoring system as claimed in claim 9 , wherein a work method of the dementia monitoring system comprises:

step (S 11 ), capturing cross-sectional scanned images of the user's brain memory showing microstructure;

step (S 12 ), analyzing and comparing the cross-sectional scanned images of the user's brain memory showing microstructure captured at different times;

step (S 13 ), judging changes of the cross-sectional scanned images and outputting a suggestion to the mobile electronic device according to the changes of the cross-sectional scanned images.

16. The dementia monitoring system as claimed in claim 15 , wherein the work method of the dementia monitoring system comprises:

capturing first cross-sectional scanned images along X direction, second cross-sectional scanned images along Y direction, and third cross-sectional scanned images along Z direction;

analyzing and comparing the first cross-sectional scanned images, the second cross-sectional scanned images, and the third cross-sectional scanned images;

judging changes of the first cross-sectional scanned images obtain a first judgement, judging changes of the second cross-sectional scanned images to obtain a second judgement, and judging changes of the third cross-sectional scanned images to obtain a third judgement;

obtaining a final judgement by comparing the first judgement, the second judgement, and the third judgement; and

sending a suggestion according to the final judgement.