Presentation is loading. Please wait.

Presentation is loading. Please wait.

Terry M. Button, Ph.D. Principals of Magnetic Resonance Image Formation.

Similar presentations


Presentation on theme: "Terry M. Button, Ph.D. Principals of Magnetic Resonance Image Formation."— Presentation transcript:

1 Terry M. Button, Ph.D. Principals of Magnetic Resonance Image Formation

2 General Signal Localization Region of interest is excited with f L. Magnetic field is modified in a planned way using gradients. Emitted frequency is now dependent on location. Signal vs. time is collected, FT provides signal vs. f which is also signal vs. location!

3 2D FT Initial approach will be descriptive and non- mathematical. The second approach will be semi- mathematical.

4 Overview of 2D FT Slice selection Phase encoding Frequency encoding

5 Slice selection Apply a gradient along z Excite with RF which covers  ( B o -  ) to  ( B o +  ) Bo+Bo+ Bo+Bo+ Z

6 RF profile I

7 Slice Thickness is Determined by Bandwidth and Gradient Strength x B f l = (B o -  )  f h = (B o +  )  x2x2 t T

8 Slice Selection Excite bandwidth (kHz) is usually fixed and gradient strength used to change slice thickness. Slice orientation is controlled using the gradients; oblique is one gradient tilted by a second gradient. Slice position is moved by changing reference frequency.

9 Frequency Encode Frequency encoding is accomplished during signal acquisition (read) by application of a gradient. B o -  BoBo B o +  f l = (B o -  )  f o = B o  f h = (B o +  ) 

10 Frequency Encoding Gradient Provides a Simple Projection BoBo S t I f FFT

11 Sample Collection Signal is sampled N times (128, 256, 512, 1024) Sample collection time is  t (1-100  sec) –SNR   t Total collection time T = N  t –T< TE Bandwidth = 1/  t –  t = 50  sec, BW = 20 kHz S t

12 FOV Field of view (FOV) is controlled by: –Gradient strength –Bandwidth From the last slide; BW = 20 kHz –Nyquist criteria; max freq 10 kHz –If the read gradient is 1mT/m then the FOV is: 42 MHz/T x 0.001T/m = 42 kHz/m –The FOV is: (10 kHz)/(42 kHz/m) = 24 cm

13 Phase Encode Phase encoding is accomplished by applying a gradient for a time . B o -  BoBo B o +  t = 0 t = 

14 Slice Image formation Frequency encode Phase encode fn,nfn,n f1,1f1,1

15 Must Satisfy Nyquist Sampling: Phase Encode Suppose a 60 o phase difference at each voxel: –60 o,120 o,180 o, 240 o, 300 o, 360 o, 60 o –Phase encode is not unique; must repeat with incremented phase encoding gradient strength.

16 Basic Spin Echo N  phase encodes

17 Image Acquisition Time Suppose TE = 20 msec, TR = 500 msec, N  = 256 and only one average is required. T = TR x N  x Avg T = 0.5 sec x 256 x 1 = 128 sec = 2 min 8 sec This is the time to make one slice!!

18 Multi-slice In the previous example, collected data for slice in 20 msec but had to wait 480 msec before re- excite. Acquire additional slices during this time. Max slices = TR/(TE+  ). 480 ms 20 ms

19 Image Reconstruction After demodulation, the frequency for any column along the frequency encoded axis is: f(x) =  G x x And the phase along any row in the phase encoded axis is:  (y) =  G y y  The sinusoidal signal detected from any element is: S(x,y) = M (x,y) e [2  i (f(x)+  (y))] t

20 Image Reconstruction The total signal collected as a function of time is then: S(t 1, t 2 ) =   M (x,y) e 2  i [f(x)t1+  (y) t2] dx dy Substituting: S(t 1, t 2 ) =   M (x,y) e 2  i [  Gx x t1+  Gy y t2] dx dy Let: k x =  G x t 1 k y =  G y t 2 Substituting: S(k 1, k 2 ) =   M (x,y) e 2  i [kx x+ ky y] dx dy Recognized as a 2D FT! Therefore: M(x,y) = s( k x, k y ) =   S(k x, k y ) e -2  i [kx x+ ky y] dk x dk y

21 Importance of k-space FT http://www.leedscmr.org/images/mritoy.jpg S(k x,k y ) s(x,y) = M (x,y) FT

22 Filling k-space Frequency encode Phase encode N  phase encodes

23 k-space Contribution to Image Properties Center of k-space controls contrast Periphery of k-space controls resolution

24 http://www.radinfonet.com/cme/mistretta/traveler1.htm#part1 k-space Contribution to Image Properties Center - contrast Periphery - resolution

25 k-space Applications Conjugate symmetry –Acquire only half of k-space and employ symmetry. –Cuts acquisition time in half. –Reduces SNR by 40%. Centric ordering –Acquire center of k-space as contrast arrives to ensure maximum contrast enhancement.

26 Spin Echo Contrast SE image contrast can be weighted to provide T 1, T 2 and   dependence Weighting is adjusted by modifying TE and TR.

27 Spin Echo T 1 Weighting Long T 1 Short T 1 t t For T 1 weighting short* TR is required. Low signal High signal

28 T1 Contrast TR MzMz short T 1 long T 1

29 Spin Echo T 2 Weighting Long T 1 Short T 1 For T 2 weighting long* TE is required. High signal Low signal

30 T2 Contrast TE MzMz short T 2 long T 2

31 Spin Echo Contrast T 1 - short TR and short TE –TR = 500 ms, TE = 10 ms T 2 - long TR and long TE –TR = 2500 ms, TE = 100 ms Proton density (  H ) – not T 1 or T 2 –longTR and short TE –TR = 2500 ms, TE = 10 ms Long TR and long TR are never used –T 1 and T 2 contrast conflicts

32 Proton

33 T1

34 T2

35 T1 Proton T2

36 Introduction to Contrast Agents

37 Magnetic Properties of Materials Weakly repel: water and tissue Weakly attract: Gd T 1 and T 2 Reducing agents Interact strongly: Fe susceptibility agents (T 2 *).

38 Contrast Agents Contrast agents can function by altering: –T1 – Paramagnetic agents –T2 – Paramagnetic and Susceptibility agents –T2* – Susceptibility agents –proton density – hormones and diuretics

39 Paramagnetic Molecular tumbling results in reduced T1 and T2. –Shorten T2 => reduced signal –Shorten T1 => increased signal Gd chelate –Used as an enhancing agent (T1 weighted sequence).

40 Gd Enhanced Brain Malignancy

41 Superparamagnetic Susceptibility agents –Cause local field inhomogeneity and very short T 2 *. –Used to remove signal on T 2 or T 2 * weighted images.

42 Negative Contrast From Iron Oxide

43 Factors controlling SNR Basic factors –Field strength –Coil tune and match –Magnet shim Setup factors: –Coil selection (Filling factor) –Sequence selection (longer TR/shorten TE) Sequence variables: –Voxel volume –Averages –Bandwidth –Gap


Download ppt "Terry M. Button, Ph.D. Principals of Magnetic Resonance Image Formation."

Similar presentations


Ads by Google