new quantitative analysis of high-field 3t mri/dti to assess neonatal brain development 1,2 g gerig,...

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New quantitative analysis of high-field 3T MRI/DTI to assess neonatal brain development 1,2 G Gerig, 2 Pierre Fillard, 2 M Prastawa, 3 W Lin, 1 John Gilmore, Departments of 1 Psychiatry, 2 Computer Science, 3 Radiology University of North Carolina, Chapel Hill,NC 27614, USA, [email protected] / http://www.cs.unc.edu/~gerig SUMMARY Structural MRI • It is feasible to study brain development in unsedated newborns using 3T MRI • Study will likely provide a vastly improved understanding of early brain development and its relationship to neuropsychiatric disorders. • Novelty: Tissue model for segmentation of myelinated/nonmyel. white matter. • Novelty: Use of tractography for complex regions of interest analysis CONCLUSIONS Building of Atlas Template Research: Quantitative MRI to study unsedated newborns at risk for neurodevelopmental disorders. Clinical Study: 120 newborns recruited at UNC, age at MRI about 2 weeks Motivation: Early detection of abnormalities Possibility for early intervention and therapy. Imaging: High field (3T Siemens Allegra), high resolution (T1 1mm 3 , FSE 0.9x0.9x3mm 3 ), high-speed imaging (12’ for T1, FSE and DTI). • Preliminary Study: 20 normal neonates (10 males, 10 females) • Age 16 ± 4 days • Siemens 3T head-only scanner • Neonates were fed prior to scanning, swaddled, fitted with ear protection and had their heads fixed in a vac- fix device • A pulse oximeter was monitored by a physician or research nurse • Most neonates slept during the scan • Motion-free scans in 13-15 0.00 100.00 200.00 300.00 400.00 500.00 600.00 volum e (m l) n0001 n0002 n10 n18 n23 n25 n26 n31 n32 n33 n40 cases B rain Tissue V olum e N eonates wm -m yel csf gm wm -nonm yel T1 3D MPRage 1x1x1 mm3 FSE T2w 1x1x3 mm3 FSE PDw 1x1x3 mm3 Here Text Here Text Template MRI white matter csf gray matter Tissue Probability Maps Neonate Adult Approach: •Atlas-moderated EM segmentation (cf. Leemput and Warfield) •Tissue intensity model for white matter (non-myelinated and myelinated wm form bimodal distribution) (cf. Cocosco, Prastawa) Challenge: Very low CNR, heterogeneous tissue, early myelination regions, reverse contrast wm/gm. •Standard brain tissue segmentation fails. Preliminary Results UNC Neonate Study Supported by NIH Conte Center MH064065, Neurodevelopmental Disorders Research Center HD 03110 and the Theodore and Vada Stanley Foundation Literature Gilmore JH, Gerig G, Specter B, Charles HC, Wilber JS, Hertzberg BS, Kliewer MA (2001a): Neonatal cerebral ventricle volume: a comparison of 3D ultrasound and magnetic resonance imaging. Ultrasound Med and Biol 27:1143-1146. Huppi PS, Warfield S, Kikinis R, Barnes PD, Zientara GP, Jolesz FA, Tsuji MK, Volpe JJ (1998b): Quantitative magnetic resonance imaging of brain development in premature and normal newborns. Ann Neurol 43: 224-235. Zhai G, Lin W, Wilber K, Gerig G, Gilmore JH (2003): Comparisons of regional white matter fractional anisotrophy in healthy neonates and adults using a 3T head-only scanner. Radiology (in press). Warfield, S., Kaus, M., Jolesz, F., Kikinis, R.: Adaptive template moderated spa-tially varying statistical classification. In Wells, W.M.e.a., ed.: Medical Image Computing and Computer-Assisted Intervention (MICCAI’98). Volume 1496 of LNCS., Springer 1998 Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated model-based tissue classification of MR images of the brain. IEEE Transactions on Medical Imaging 18 (1999) 897–908 Pierre Fillard, John Gilmore, Weili Lin, Guido Gerig, "Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths", MICCAI 2003 Conference, Full Paper, LNCS Springer, Nov. 2003 Guido Gerig, Marcel Prastawa, Weili Lin and John Gilmore, "Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI", Short Paper, MICCAI 2003 Conference, LNCS Springer, Nov. 2003 T1-only segmentation whi te gray csf myelin. early myelinated corticospinal tract hyper- intense motor cortex Conventional ROI Analysis (one axial slice only) FractionalA nisotropy 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 FA (% ) N eonates A dults Apparent Diffusion Coefficient 0 20 40 60 80 100 120 140 160 180 200 splenium genu Internal cap occipital frontal GM ADC (mm2/sec) Neonates Adults Apparent Diffusion Coefficient 0 20 40 60 80 100 120 140 160 180 200 splenium genu Internal cap occipital frontal GM ADC (mm2/sec) Neonates Adults Hypothesis: •DTI reflects degree of myelination and structure of fiber tracts. •Decrease of fractional anisotropy (FA) from interior to the periphery. •Higher ADC values compared to a matured brain (adult). •Lower FA values compared to adults. •DTI reflects degree of axon pruning and myelination. Zhai G, Lin W, Wilber K, Gerig G, Gilmore Zhai G, Lin W, Wilber K, Gerig G, Gilmore JH (2003): Comparisons of regional white JH (2003): Comparisons of regional white matter fractional anisotropy in healthy matter fractional anisotropy in healthy neonates and adults using a 3T head-only neonates and adults using a 3T head-only scanner. scanner. Radiology Radiology (in print). (in print). New Method: Diffusion along fiber tract via Tractography Tracing of the commissural fiber tracts through the genu in Tracing of the commissural fiber tracts through the genu in five neonates five neonates splenium splenium FA FA Diffusion Tensor Imaging (DTI) Fractional Anisotropy (FA) along splenium/genu bundles Change of FA along splenium/genu across time •Fractional Anisotropy (FA) quickly drops with increasing distance from midsagittal plane •Drop off more pronounced in genu than in splenium •Comparisum adults, 2yrs olds and neonates •FA in neonates significantly lower than in 2 yrs old subjects and adults •2yrs old subjects show similar values as adults adul t neonat e adul t neonat e

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Page 1: New quantitative analysis of high-field 3T MRI/DTI to assess neonatal brain development 1,2 G Gerig, 2 Pierre Fillard, 2 M Prastawa, 3 W Lin, 1 John Gilmore,

New quantitative analysis of high-field 3T MRI/DTI to assess neonatal brain development1,2G Gerig, 2Pierre Fillard, 2M Prastawa, 3W Lin, 1John Gilmore,

Departments of 1Psychiatry, 2Computer Science, 3RadiologyUniversity of North Carolina, Chapel Hill,NC 27614, USA, [email protected] / http://www.cs.unc.edu/~gerig

SUMMARY

Structural MRI

• It is feasible to study brain development in unsedated newborns using 3T MRI

• Study will likely provide a vastly improved understanding of early brain development and its relationship to neuropsychiatric disorders.

• Novelty: Tissue model for segmentation of myelinated/nonmyel. white matter.

• Novelty: Use of tractography for complex regions of interest analysis

CONCLUSIONS

Building of Atlas Template

• Research: Quantitative MRI to study unsedated newborns at risk for neurodevelopmental disorders.

• Clinical Study: 120 newborns recruited at UNC, age at MRI about 2 weeks

• Motivation: Early detection of abnormalities Possibility for early intervention and therapy.

• Imaging: High field (3T Siemens Allegra), high resolution (T1 1mm3, FSE 0.9x0.9x3mm3), high-speed imaging (12’ for T1, FSE and DTI).

• Preliminary Study: 20 normal neonates (10 males, 10 females)

• Age 16 ± 4 days• Siemens 3T head-only scanner• Neonates were fed prior to scanning,

swaddled, fitted with ear protection and had their heads fixed in a vac-fix device

• A pulse oximeter was monitored by a physician or research nurse

• Most neonates slept during the scan• Motion-free scans in 13-15 infants• Conte Center: Total of 120 infants

0.00

100.00

200.00

300.00

400.00

500.00

600.00

vo

lum

e (

ml)

n0

00

1

n0

00

2

n1

0

n1

8

n2

3

n2

5

n2

6

n3

1

n3

2

n3

3

n4

0

cases

Brain Tissue Volume Neonates

wm-myel

csf

gm

wm-nonmyel

T1 3D MPRage1x1x1 mm3

FSE T2w1x1x3 mm3

FSE PDw1x1x3 mm3

Here TextHere Text

Template MRI white mattercsf

gray matter

Tissue Probability Maps

NeonateAdult

Approach:

• Atlas-moderated EM segmentation (cf. Leemput and Warfield)

• Tissue intensity model for white matter (non-myelinated and myelinated wm form bimodal distribution) (cf. Cocosco, Prastawa)

• Challenge: Very low CNR, heterogeneous tissue, early myelination regions, reverse contrast wm/gm.

• Standard brain tissue segmentation fails.

Preliminary Results UNC Neonate Study

Supported by NIH Conte Center MH064065, Neurodevelopmental Disorders Research Center HD 03110 and the Theodore and Vada Stanley Foundation

Literature

• Gilmore JH, Gerig G, Specter B, Charles HC, Wilber JS, Hertzberg BS, Kliewer MA (2001a): Neonatal cerebral ventricle volume: a comparison of 3D ultrasound and magnetic resonance imaging. Ultrasound Med and Biol 27:1143-1146.

• Huppi PS, Warfield S, Kikinis R, Barnes PD, Zientara GP, Jolesz FA, Tsuji MK, Volpe JJ (1998b): Quantitative magnetic resonance imaging of brain development in premature and normal newborns. Ann Neurol 43: 224-235.

• Zhai G, Lin W, Wilber K, Gerig G, Gilmore JH (2003): Comparisons of regional white matter fractional anisotrophy in healthy neonates and adults using a 3T head-only scanner. Radiology (in press).

• Warfield, S., Kaus, M., Jolesz, F., Kikinis, R.: Adaptive template moderated spa-tially varying statistical classification. In Wells, W.M.e.a., ed.: Medical Image Computing and Computer-Assisted Intervention (MICCAI’98). Volume 1496 of LNCS., Springer 1998

• Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated model-based tissue classification of MR images of the brain. IEEE Transactions on Medical Imaging 18 (1999) 897–908

• Pierre Fillard, John Gilmore, Weili Lin, Guido Gerig, "Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths", MICCAI 2003 Conference, Full Paper, LNCS Springer, Nov. 2003

• Guido Gerig, Marcel Prastawa, Weili Lin and John Gilmore, "Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI", Short Paper, MICCAI 2003 Conference, LNCS Springer, Nov. 2003

T1-only segmentation

white

gray

csf

myelin.

earlymyelinatedcorticospinaltract

hyper-intensemotor cortex

Conventional ROI Analysis (one axial slice only)

Fractional Anisotropy

00.10.20.30.40.50.60.70.80.9

FA

(%

)

Neonates

Adults

Apparent Diffusion Coefficient

020406080

100120140160180200

splen

ium genu

Inte

rnal

cap

occip

ital

front

alGM

AD

C (

mm

2/se

c)

Neonates

Adults

Apparent Diffusion Coefficient

020406080

100120140160180200

splen

ium genu

Inte

rnal

cap

occip

ital

front

alGM

AD

C (

mm

2/se

c)

Neonates

Adults

Hypothesis:•DTI reflects degree of myelination and structure of fiber tracts.•Decrease of fractional anisotropy (FA) from interior to the periphery.•Higher ADC values compared to a matured brain (adult).•Lower FA values compared to adults.•DTI reflects degree of axon pruning and myelination.

Zhai G, Lin W, Wilber K, Gerig G, Gilmore JH (2003): Zhai G, Lin W, Wilber K, Gerig G, Gilmore JH (2003): Comparisons of regional white matter fractional Comparisons of regional white matter fractional anisotropy in healthy neonates and adults using a 3T anisotropy in healthy neonates and adults using a 3T head-only scanner. head-only scanner. Radiology Radiology (in print).(in print).

New Method: Diffusion along fiber tract via Tractography

Tracing of the commissural fiber tracts through the genu in five Tracing of the commissural fiber tracts through the genu in five neonatesneonates

spleniumsplenium

FAFA

Diffusion Tensor Imaging (DTI)

Fractional Anisotropy (FA) along splenium/genu bundles

Change of FA along splenium/genu across time

• Fractional Anisotropy (FA) quickly drops with increasing distance from midsagittal plane

• Drop off more pronounced in genu than in splenium

• Comparisum adults, 2yrs olds and neonates

• FA in neonates significantly lower than in 2 yrs old subjects and adults

• 2yrs old subjects show similar values as adults

adult neonate

adult neonate