Final Presentation of Pitt Group

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DTI group (Pitt)

Instructor: Kevin Chan

Kaitlyn Litcofsky & Toshiki Tazoe

7/12/2012

Aims

1. Understand basic principles of MRI

2. Examine factors affecting DWI

1. b-values

2. Gradient direction

3. Examine effect of b-values on DTI

4. Integrate fMRI and DTI

MR signal

S = M

0

・ (1 - e -TR/T1 ) ・ (e -TE/T2 )

Subject 1

TE: 146 ms

TE: 73 ms

TE: 18 ms

TR: 500 ms TR: 6000 ms

MR signal and diffusion

S = M

0

・ (1 - e -TR/T1 ) ・ (e -TE/T2 ) ・ e -bD

= S

0

・ e -bD b = diffusion gradient

D = diffusion coefficient

Gaussian distribution of diffusion

If DW signal comes from free diffusion, gradient magnetic pulse would decay

DW signal mono-exponentially with b-value

Diffusivity across b-value decreases linearly

Diffusion coefficient across b-value is constant

S = S

0

・ e -bD -bD = ln(S/S

0

) D = ln(S/S

0

) / -b b-value b-value b-value

Effect of b-values on DWI: free diffusion?

Water phantom

(NiS04.6H20/NaCL)

Mean DWI (50 directions)

300 b=0 b=500

Signal, DWI

(mm 2 /s)

1200

1000

800

600

400

200

0

0 500 1000 1500 2000 2500 b-value (s/mm 2 )

SNR ≒ 1 b=2000

SNR ≒ 1 b=2500 0 b=1000 b=1500 ln S/S0

0

-0.5

-1

-1.5

-2

-2.5

-3

-3.5

-4

-4.5

0 500 1000 1500 2000 2500 b-value (s/mm 2 )

ADC

(mm 2 /s)

0.0025

0.002

0.0015

0.001

0.0005

0

500 1000 1500 2000 2500 b-value (s/mm 2 )

Effect of b-values on DWI: free diffusion?

Mean DWI (50 directions)

300 b=0 b=500

(mm 2 /s)

250

200

150

100

50

0

0

DWI

500 1000 1500 2000 2500 b-value (s/mm 2 ) b=1000 b=1500

0

-0.5

-1

-1.5

-2 ln(S/S

0

0 500 1000 1500 2000 2500 b-value (s/mm 2 )

) b=2000 b=2500

(mm 2 /s)

0.001

0.0008

0.0006

0.0004

0.0002

0

ADC

500 1000 1500 2000 2500 b-value (s/mm 2 )

WM GM

0

Effect of varied b-values on DWI: gradient direction

R L

DW signal at diffusion gradient (0.79, 0.61, 0.06)

R_Optic_Radiation (Fast) y

L_Optic_Radiation (Slow) x

Fast diffusion Slow diffusion b value (s/mm 2 )

0,9

0,8

0,7

0,6

0,5

0,4

0,3

0,2

0,1

0

Effect of varied b-values on DTI

λ1

Fractional anisotropy: FA Axial diffusivity: λ

//

(mm 2 /s)

0,002

10%

17%

0,0015

0,001

0,0005

0

38%

25% y

500 1000 1500 2000 b-value (s/mm 2 )

2500

500 1000 1500 b-value (s/mm 2 )

2000 2500

Radial diffusivity: λ

(mm 2 /s)

0,0007

0,0006

0,0005

0,0004

0,0003

0,0002

0,0001

0

500 1000 1500 2000 b-value (s/mm 2 )

21%

30%

2500

Mean diffusivity

(mm 2 /s)

0,0009

0,0008

0,0007

0,0006

0,0005

0,0004

0,0003

0,0002

0,0001

0

500 1000 1500 b-value (s/mm 2 )

2000

37%

20%

2500 z

λ3

WM

GM

λ2 x

Effect of varied b-values on DTI

Voxel-based method, 8 subjects

– Tract-based Spatial Statistics

– FA at b = 1000 s/mm 2 and b = 2500 s/mm 2

P = 0.05

P ≒ 0.00

DTI tractography

• Inputs

– Principal vector

– FA

• Tractography: FACT method

– DTIStudio

– Fiber Assignment by Continuous Tracking (FACT) approach

• Start/Stop tracking threshold: FA = 0.2

• Turn threshold: 70 degrees

DTI tractography by manual ROI

Corticospinal tract

Slice 0 Slice 31

3000

2500

2000

1500

1000

500

0

Number of voxels passed through

500 1000 1500 b value (s/mm 2 )

2000 2500 b=500 b=1000 b=1500 b=2000 b=2500

fMRI data as DTI seed regions

• Compare tractography of posterior visual pathways for upper and lower field visual stimulation at b=1000 s/mm 2 and b=2500 s/mm 2

1.

fMRI vision hemifield task

– Block design

• Rest-Upper-Rest-Lower

• 12 s blocks, 6 repetitions

– TR = 2000 ms

– TE = 26 ms

– 8 subjects

2.

fMRI analysis

– FSL FEAT

Rest

Upper field stimulation

3. Create masks for DTI from fMRI activation maps

Lower field stimulation

fMRI data as DTI seed regions

b = 1000 s/mm 2

Upper visual field stimulation b = 2500 s/mm 2

Lower visual field stimulation

fMRI data as DTI seed regions

1200

1000

800

600

400

200

0 n=8

# of voxels

0,7

0,6

0,5

0,4

0,3

0,2

0,1

0

Mean FA

Conclusions

1. Diffusion is not free / Gaussian-distributed in the brain

– b-values and direction of gradient affects DWI

– b-values affect DTI metrics

 Caution has to be taken when interpreting brain DWI/DTI metrics at different b-values

2. Lower b-values (at ~1000 s/mm 2 or 1/ADC) may be more beneficial for evaluating DTI metrics given the higher SNR and potentially smaller errors in estimation

(Jones & Basser, 2004)

3. Higher b-values (e.g., 2500 s/mm 2 ) may be more beneficial for tractography given higher number of voxels traced, likely as a result of greater sensitivity in detecting smaller fibers

(Rane,

Nair & Duong, 2010)

Thank you!

Dr. Kevin Chan

Dr. Seong-Gi Kim

Dr. Bill Eddy

Tomika Cohen

Rebecca Clark

MNTP program

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