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National Alliance for Medical Image Computing http://na-mic.org Diffusion Weighted MRI
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National Alliance for Medical Image Computing Diffusion Weighted MRI.

Dec 14, 2015

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Page 1: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Diffusion Weighted MRI

Page 2: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Diffusion Imaging

S. Maier and M. Kubicki

•In an isotropic medium (inside a glass of water for example) water molecules naturally move according to Brownian motion.

•In biological tissues however the diffusion is very often anisotropic. For example a molecule inside the axon of a neuron has a low probability to cross a myelin membrane.

•Apply gradient in a given direction dark regions correspond to where non Brownian motion has occured.

Page 3: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

DTI allows researchers to quantify the diffusion of water in brain tissue

Diffusion for each image voxel is described by 3 perpendicular vectors

1

2

3

1

2

3

Isotropic diffusion occurs when there is no restriction to water movement (e.g., ventricles, CSF)

Anisotropic diffusion occurs when water movement is restricted to one primary direction (e.g., myelinated fibers)

Diffusion Tensors & Anisotropy

Page 4: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Anisotropy

•Left: Conventional T2W image does not show white matter fiber tracts in the brain.

•Middle: Anisotropy map highlights the white matter bundles in the brain.

•Right: The z-map high intensity regions correspond to large out of plane diffusion.

Page 5: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Fractional AnisotropyFractional Anisotropy

Difference in eigenvalues

Directional diffusion

1+ 2 + 3 3

Mean DiffusivityMean Diffusivity

Addition of eigenvalues

Overall diffusion

Diffusivity & Fractional Anisotropy

Page 6: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Number of fibers

Size of fibers

Myelination of fibers

Directionality of Fibers

Diffusivity and FA help determine the number, size and myelination of fibers, whereas only FA gives information about directionality.

High Diffusivity Low FA

High FA Low Diffusivity

High Diffusivity Low FA

High FA Low Diffusivity

High Diffusivity Low FA

High FA Low Diffusivity

Low FA Same Diffusivity

High FA Same Diffusivity

Interpreting Diffusivity and FA

Page 7: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Fiber Tracking

Page 8: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Axonal Fibers Using 3T MR-DTI

Hae-Jeong Park, Ph.D.

Whole-Brain Tractography

Page 9: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Automated tools separate fibers on the basis of their shape and projections

Fiber Clustering

Page 10: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Fronto-temporal connections

uncinate fasciculus (blue)

inferior occipito-frontal fasciculus (yellow)

IOCC rarely seen in the literature (from Gray’s Anatomy)

Page 11: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Other applications: Neurosurgery, Brain Tumors

Page 12: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

White matter fiber tracts and Schizophrenia

• There are widespread gray matter deficits reported in MRI structural studies, but fewer reports of white matter abnormalities.

• Functional abnormalities are reported in different brain regions and different systems using fMRI and PET.

• Several theories link schizophrenia with disconnection between different brain regions.

Page 13: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Cingulum Bundle

• The most prominent connection between limbic structures.

• Consolidates information by interconnecting thalamus, prefrontal, parietal, temporal lobes (including amygdala, hippocampus and parahippocampal gyrus) with cingulate gyrus.

M. Kubicki

Page 14: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Schizophrenia related symptoms most frequently linked with cingulate dysfunction

• Thought disorder • Disorganized behavior• Hallucinations• Flattening of affect• Delusions• Lack of attention

M. Kubicki

Page 15: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Coronal sections of diffusion tensor maps show cingulate fasciculi (out of plane diffusion component- coded in orange)(arrows), above the corpus callosum (in plane component- coded in blue). Patient with schizophrenia on the left, comparison subject on the right. Note the difference in area of the bundle.

M. Kubicki

Anisotropy Analysis

Page 16: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

300

350

400

450

500

550

right left

RA

normal controls

schizophrenics

M. Kubicki

Relative anisotropy within cingulate fasciculus

Diffusion anisotropy within the left cingulum bundle in schizophrenia group was 7.4 % lower than in normal comparison subjects (mean of the percentage difference for all eight slices), while diffusion anisotropy on the right side within the CB in schizophrenics was only 2 % lower than in normal comparisons.

Page 17: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Fiber Tractography

H.J. Park

Page 18: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Fiber Clustering

H.J. Park

Page 19: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Fiber Tractography

H.J. Park

Page 20: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Research Challenges

• Diffusion Sequences and Image Resolution.• Fiber Tractography.• White Matter Segmentation.• Statistical Analysis.• Current Region Of Interests:

– Superior Temporal Gyrus.– Uncinate Fasciculus.– Cingulate Bundle.– Arcuate Fasciculus.

Page 21: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

STEP 1

STEP 2

Initial coarse registration done manually

with Slicer Alignment Module.

no gradient DTI gray-aligned SPGR

+

Automatic fine registration using

registration module, with Mutual

Information as the registration metric.

Coregistration of MRI and DTMRI

Page 22: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Non Linear Registration Module

Alexandre Guimond, Lifeng Liu (CNI), Matthan Caan (LMI).

Page 23: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Coregistration: Qualitative Evaluation.

Magenta: MRI (SPGR)

Green: DTMRI (T2 baseline)

Page 24: National Alliance for Medical Image Computing  Diffusion Weighted MRI.

National Alliance for Medical Image Computing http://na-mic.org

Coregistration: Pilot Study Results

left rightgray white gray white

Case3 FA 0.264 0.360 0.254 0.402AA 0.383 0.516 0.379 0.574RA 0.158 0.223 0.151 0.251

ADC 0.817 0.771 0.839 0.763Case45 FA 0.226 0.350 0.261 0.338

AA 0.339 0.467 0.399 0.448RA 0.134 0.215 0.156 0.207

ADC 0.849 0.725 0.874 0.721Case117 FA 0.258 0.375 0.242 0.374

AA 0.396 0.519 0.354 0.514RA 0.154 0.232 0.144 0.232

ADC 0.850 0.743 0.820 0.737Case0590 FA 0.238 0.346 0.221 0.354

AA 0.362 0.492 0.328 0.498RA 0.141 0.212 0.131 0.218

Measurements:FA: Fractional Anisotropy, AA: Absolute Anisotropy, RA: Relative Anisotropy, ADC: Apparent Diffusion Coefficient.

Kang-Uk Lee