NA-MIC National Alliance for Medical Image Computing (Pre-)Clinical and Applications with DTI Guido...
-
Upload
arthur-sullivan -
Category
Documents
-
view
221 -
download
4
Transcript of NA-MIC National Alliance for Medical Image Computing (Pre-)Clinical and Applications with DTI Guido...
NA-MICNational Alliance for Medical Image Computing http://na-mic.org
(Pre-)Clinical and Applications with DTI
Guido Gerig
UNC Chapel Hill
ASNR 2003 –Washington,DC DT-MRI Alexander 2
DTI Applications• Normal brain development and aging
• Congenital anomalies and diseases of white matter
• Traumatic brain injury
• Encephalopathies – toxic, metabolic, infectious
• Demyelinating and neurodegenerative diseases
• Ischemia and stroke
• Neoplasm, preoperative planning
• Epilepsy
• Dementia, schizophrenia, depression
• Developmental disorders - fragile X, autism
• Spinal Cord
ASNR 2003 –Washington,DC DT-MRI Alexander 3
Courtesy J. Neil Washington Univ., St. Louis
Normal Brain Development
ASNR 2003 –Washington,DC DT-MRI Alexander 4
WM AnisotropyChanges with Age
genu
frontalpericallosal
centrumsemiovale
GenuLeft pericallosalRight pericallosal
.3
.4
.5
.6
.7
.8
20 30 40 50 60 70 80Age
Anterior
FA
SpleniumLeft pericallosalRight pericallosal
.3
.4
.5
.6
.7
.8
20 30 40 50 60 70 80
Age
Posterior
FA
.34
.36
.38
.40
.42
.44
.46
.48
20 30 40 50 60 70 80
Age
Centrum Semiovale
parietalpericallosal
splenium
Pfefferbaum et al.MRM 2000
Courtesy K. Lim, Univ. Minn.
ASNR 2003 –Washington,DC DT-MRI Alexander 5
R. Bammer, F. Fazekas, Neuroim Clinics N Am, Feb. 2002. S T A N F O R D S C H O O L OF M E D I C I N E
Lucas MRS/I Center
S T A N F O R D S C H O O L OF M E D I C I N E
Lucas MRS/I Center
Multiple Sclerosis
ASNR 2003 –Washington,DC DT-MRI Alexander 8
DTI in Cerebral Neoplasms
Deviated
Edematous Destroyed
Infiltrated
ASNR 2003 –Washington,DC DT-MRI Alexander 9
Tract Displacement T2W ADC
FA FA 1
Cerebral Palsy
Courtesy of Susumu Mori
NA-MICNational Alliance for Medical Image Computing http://na-mic.org
PNL Schizophrenia Study
Martha Shenton, PNL Harvard
Guido Gerig, UNC Chapel Hill
National Alliance for Medical Image Computing http://na-mic.org Slide 14
Atlas: Average + Set of transformed tensor fields
ROIs and tracts in atlas space transferred to every image.
National Alliance for Medical Image Computing http://na-mic.org Slide 15
Tractography in PNL Atlas
Corpus Callosum middle part
Cingulum full
Cingulum “spine”
National Alliance for Medical Image Computing http://na-mic.org Slide 16
Tractography per Group
Cingulum SZ GroupCingulum Control Group
Tractography applied to tensor fields of the set of controls mapped to the atlas (left) ad the set of SZ mapped to the atlas (right).
National Alliance for Medical Image Computing http://na-mic.org Slide 17
Very, very preliminary tests …
FA along cingulum per group
0
0.1
0.2
0.3
0.4
0.5
0.6
-80 -60 -40 -20 0 20 40
arclength (mm)
FA
FA-NC
FA-SZ
Poly. (FA-SZ)
Poly. (FA-NC)
SZ seems to have lower FA in middle portion of cingulum.
What does it mean w.r.t. diffusion properties?
National Alliance for Medical Image Computing http://na-mic.org Slide 18
ctd.
SZ group seems to have lower lambda1 and slightly higher radial diffusion (average lambda2 + lambda3) in middle region.
L1 along cingulum per group
0
2
4
6
8
10
12
14
-80 -60 -40 -20 0 20 40
arclength (mm)
L1
L1-NC
L1-SZ
Poly. (L1-SZ)
Poly. (L1-NC)
L23 along cingulum per group
0
1
2
3
4
5
6
7
8
9
10
-80 -60 -40 -20 0 20 40
arclength (mm)
L23
L23-NC
L23-SZ
Poly. (L23-SZ)
Poly. (L23-NC)
National Alliance for Medical Image Computing http://na-mic.org Slide 19
ctd.
MD along cingulum per group
0
2
4
6
8
10
12
-80 -60 -40 -20 0 20 40
arclength (mm)
MD
MD-NC
MD-SZ
Poly. (MD-SZ)
Poly. (MD-NC)
GA along cingulum per group
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
-80 -60 -40 -20 0 20 40
arclength (mm)
GA
GA-NC
GA-SZ
Poly. (GA-SZ)
Poly. (GA-NC)
MD seems very similar for both groups.
GA shows same pattern as FA but much higher values.
National Alliance for Medical Image Computing http://na-mic.org Slide 20
DTI Population Atlases
Related work:• Alexander, D., Pierpaoli, C., Basser, P., Gee, J.: Spatial transformations of diffusion
tensor magnetic resonance images. IEEE Transactions on Medical Imaging 20(11) (2001)
• Zhang, H., Yushkevich, P., Gee, J.: Registration of diffusion tensor images. In: CVPR. (2004)
National Alliance for Medical Image Computing http://na-mic.org Slide 21
DTI Population Atlases
Neonates (N=50)
1yr olds (N=25)
2yr olds (N=15)
National Alliance for Medical Image Computing http://na-mic.org Slide 22
Fiber Tractography in Atlases
Neonate atlas DTI 1yr atlas DTI
fornix and uncinate
genu, splenium, motor
uncinate
cingulate
motor tracts
National Alliance for Medical Image Computing http://na-mic.org Slide 23
Krabbe Disease
Maria Luisa Escolar, M.D.Director, Program for the Study of Neurodevelopmental Function in Rare DisordersCenter for the Study of Development and LearningUniversity of North Carolina at Chapel Hill
National Alliance for Medical Image Computing http://na-mic.org Slide 26
Neuroimaging for Phenotyping
Cortex
Motor
CerebellarDeep WM
PontineNucleus
Middle CerebellarPeduncle
Fibers throughInternal Capsule
SuperiorCerebellarPeduncle
Dentate
Thalamus
Motor Circuitry Motor Tract
Cerebellar Peduncles
UCBT
National Alliance for Medical Image Computing http://na-mic.org Slide 27
Neuroimaging for Phenotyping: Atlas-based white matter analysis
Patient DTI
Please note absence of wm structuring (high FA) in right external capsule
Normative Atlas (50 neonates), DTI: Average and statistics
Z-scores indicating regions with significant differences
National Alliance for Medical Image Computing http://na-mic.org Slide 29
Bundles obtained from 50case atlas by tractography
Full tracts Selection of center and off-center regions of interest
National Alliance for Medical Image Computing http://na-mic.org Slide 30
Early postnatal development of white matter: Joint analysis of sMRI and DTI
• Analysis of white matter in healthy controls (N=47)• Co-registration of sMRI and DTI (deformable)• Fibertract-based segmentation of ROIs• Quantitative analysis of FA, MD, T1w, T2w
FA MD T1w T2w
FA MD T1w T2w
National Alliance for Medical Image Computing http://na-mic.org Slide 31
Early postnatal development of white matter
Analysis of white matter in healthy controls (N=47)
Myelination and axon elimination:
• FA center >> peripheral• FA splenium > genu• MD splenium & genu >
intcaps • T1w splenium & genu <
intcaps
Gilmore/Lin/Gerig , submitted AJNR
National Alliance for Medical Image Computing http://na-mic.org Slide 32
Early postnatal development of white matter
Joint analysis of structural MRI and DTI:Genu at center (non myelinated) versus internal capsule (myelinated)– FA genu ≈ FA intcaps– T1w genu >> T1w intcaps
Analysis detects differences between dense structuring and early myelination
Procedure to be used to measure maturation process
National Alliance for Medical Image Computing http://na-mic.org Slide 35
Longitudinal Follow-up
Intracranial Volume
Neonate Year 10
250000
500000
750000
1000000
1250000
* p < 0.0001
Vo
lum
e m
m3
Neonate 1 year old
Total Ventricle Volume
Neonate 1 year0
2500
5000
7500
10000
* p < 0.0001
Vo
lum
e m
m3
National Alliance for Medical Image Computing http://na-mic.org Slide 36
Corpus Callosum Tracts: Study of Early Development
Neonate (2 wks) Adult
Corpus callosum: Commissural bundles, color coding of FA (0=blue, 1=red)
Infant (1 year)
National Alliance for Medical Image Computing http://na-mic.org Slide 37
“Maturation” of white matter tracts
Splenium
Neonate 1 year 0
2
4
6
8
10
12
14
16
18
p < 0.0001
AD
C
Left Internal Capsule (Brainstem)
Neonate 1 year0
2
4
6
8
10
12
14
16
18
p < 0.0001
AD
C
Splenium
Neonate I year 0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
p < 0.0001
FA
Left Internal Capsule (Brainstem)
Neonate 1 year0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
p < 0.4092
FA
National Alliance for Medical Image Computing http://na-mic.org Slide 38
Tensor Statistics Genu/Splenium: Neonate to 1years
Neo
1yr
Neonate
1year
genu splenium
MD MD
FA FA
National Alliance for Medical Image Computing http://na-mic.org Slide 39
Conclusions
• Diffusion Imaging adds a measurement not obtained by other structural imaging sequences.
• Invaluable for studying white matter disease, lesions, neurodevelopment and neurodegeneration.
• MR-DTI made huge progress to provide high resolution with isotropic voxels.
• Tools for comprehensive analysis available.