10:45 |
0046.
|
Rapid Volumetric T2
Measurements in Muscle Pre- and Post-Exercise using
Quantitative DESS
Lauren M Shapiro1, Bragi Sveinsson1,2,
Marcus T Alley1, Brian A Hargreaves1,
and Garry E Gold1,3
1Department of Radiology, Stanford
University, Stanford, CA, United States, 2Department
of Electrical Engineering, Stanford University,
Stanford, CA, United States, 3Department
of Bioengineering, Stanford University, Stanford, CA,
United States
Change in T2 relaxation time in muscle is an indication
of muscle activity. Unfortunately, two-dimensional spin
echo techniques to acquire T2 maps suffer from long
acquisition times, blurring, artifacts and limited
coverage. We evaluate the effect of exercise upon muscle
T2 using a recently validated 3D quantitative DESS (qDESS)
sequence in entire muscles at 3.0T. We compare T2 values
in the medial and lateral gastrocnemius and tibialis
anterior in 8 volunteers before exercise and at three
points post-exercise. T2 values in all muscles peaked
immediately post-exercise, and significant T2
differences between exercised and non-exercised legs
were seen.
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10:57 |
0047. |
Introducing Dynamic
Multi-exponential T2-Relaxation for Studying Muscle Pattern
and Activation in the Human
Burkhard Mädler1, Jürgen Gieseke2,3,
and Volker A. Coenen1
1Neurosurgery and Stereotaxis, University
Bonn, Bonn, NRW, Germany, 2Philips
Healthcare, Best, Netherlands, 3Radiology,
University Bonn, Bonn, NRW, Germany
We successfully demonstrate the ability of acquiring
high resolution in-vivo T2-relaxation data for
quantitative multi-component analysis in human muscle
with adequate B1-correction techniques. The
T2-components identified are in agreement with recent
non-spatially resolved studies from high SNR single
voxel T2-experiment. The ability to monitor dynamic
changes in muscle-compartmentalization might provide a
powerful technique to assess the effectiveness of
specific exercise and rehabilitation protocols and
monitor treatment efficacy of interventions. This
information may proof very valuable to understand
compensatory muscle activation in the healthy human
subjects as well as patterns associated with injury
and/or pathophysiology.
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11:09 |
0048. |
Correlation of Meniscal
T2* with Multiphoton Microscopy and Changes of Articular
Cartilage T2 in an Ovine Model of Meniscal Repair
Matthew F Koff1, Lisa A Fortier2,
Scott A Rodeo3, Parina Shah1,
Bethsabe Romero4, Sarah Pownder2,
Rebecca Williams5, Suzanne Maher6,
and Hollis G Potter1
1Department of Radiology and Imaging - MRI,
Hospital for Special Surgery, New York, New York, United
States, 2College
of Veterinary Medicine, Cornell University, Ithaca, New
York, United States, 3Department
of Orthopaedic Surgery, Hospital for Special Surgery,
New York, New York, United States,4Department
of Molecular Medicine, Cornell University, Ithaca, New
York, United States, 5Department
of Biomedical Engineering, Cornell University, Ithaca,
New York, United States, 6Department
of Biomechanics, Hospital for Special Surgery, New York,
New York, United States
MRI is commonly used to evaluate repairs of knee
meniscus, and ultra-short echo imaging (UTE) allows for
a quantitative assessment of the repair site. This study
correlated T2* mapping using UTE imaging with
quantitative histologic multiphoton microscopy (MPM)
methods, and also evaluated the effect of meniscal
repair on cartilage T2 values. Meniscal T2* values
correlated with MPM measures of collagen content and
crosslinking. Increased cartilage T2 values indicated an
altered biomechanical loading pattern in the joint.
These data lend strong support to the use of T2 and T2*
applications to clinical meniscal repair and the
assessment of risk for osteoarthritis.
|
11:21 |
0049. |
Ultrashort TE-enhanced T2* mapping
of deep articular cartilage detects sub-clinical
degeneration
Ashley Williams1, Yongxian Qian2,
and Constance R Chu1
1Cartilage Restoration Center, University of
Pittsburgh, Pittsburgh, PA, United States, 2Magnetic
Resonance Research Center, University of Pittsburgh
UTE-T2* mapping
is sensitive to short-T2 signals
and therefore has the potential to provide prognostic
indication of otherwise clinically occult knee
osteoarthritis in deep articular cartilage. UTE-T2* maps
were evaluated in 53 human subjects. Significant
elevations of UTE-T2* values
in deep femoral condylar cartilage of subjects with ACL
and/or meniscal injury without clinical evidence of
subsurface cartilage abnormality suggest that UTE-T2* mapping
is sensitive to sub-clinical cartilage degeneration.
Significant decreases in UTE-T2* values
measured longitudinally over 12 months following ACL
reconstruction suggest that UTE-T2* can
be used to quantitatively monitor changes to cartilage
status in response to therapeutic interventions.
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11:33 |
0050. |
Multi-Exponential T2
Mapping of Human Patellar Cartilage Using mcDESPOT
Fang Liu1, Samuel A. Hurley1, Nade
Sritanyaratana2, Walter F. Block1,2,
and Richard Kijowski3
1Department of Medical Physics, University of
Wisconsin-Madison, Madison, Wisconsin, United States, 2Department
of Biomedical Engineering, University of
Wisconsin-Madison, Madison, Wisconsin, United States, 3Department
of Radiology, University of Wisconsin-Madison, Madison,
Wisconsin, United States
mcDESPOT was used to create multi-exponential T2
relaxation time and water fraction maps of patellar
cartilage in 3 asymptomatic volunteers at 3.0T in a 20
minute scan time. T2 and water fraction values for the
tightly bound macromolecular water component (Wm) and
loosely bound bulk water component (Wb) were similar to
values reported for ex-vivo bovine cartilage specimens
using NMR spectroscopy. T2 for the Wb component was
higher in the superficial than the deep layer of
cartilage. Wm fraction was higher in the deep layer of
cartilage, while Wb fraction was higher in the
superficial layer.
|
11:45 |
0051.
|
T1rho dispersion in
constituent-specific degradation models of articular
cartilage with correlation to biomechanical properties
Elli-Noora Salo1,2, Timo Liimatainen3,
Shalom Michaeli4, Silvia Mangia4,
Jutta Ellermann4, Miika T. Nieminen1,5,
and Mikko J. Nissi2,4
1Department of Diagnostic Radiology, Oulu
University Hospital, Oulu, Finland, 2Department
of Applied Physics, University of Eastern Finland,
Kuopio, Finland,3Department of Biotechnology
and Molecular Medicine, A. I. Virtanen Institute,
University of Eastern Finland, Kuopio, Finland, 4Center
for Magnetic Resonance Research, University of
Minnesota, Minneapolis, Minnesota, United States, 5Department
of Medical Technology, University of Oulu, Oulu, Finland
T 1 relaxation
time has been proposed and demonstrated as a marker for
articular cartilage degeneration. However, the
sensitivity of T 1 to
different tissue constituents remains somewhat unclear.
In this study, we investigated T 1 relaxation
dispersion at four clinically relevant spin-lock fields
( B 1 =
125-1000 Hz) in proteoglycan- and collagen-specific
enzymatic degradation models. The results suggest that
the properties of the collagen network contribute
significantly to T 1 relaxation
and dispersion in cartilage. Increasing spin-lock power
altered the T 1 sensitivity
to the constituents, as well as the correlation with
biomechanical properties.
|
11:57 |
0052. |
T2 Mapping Sequence for
Detecting Cartilage Lesion within the Knee Joint at 3.0T:
Diagnostic Performance in 114 Patients with Surgical
Correlation
Richard Kijowski1, Donna Blankenbaker1,
Arthur De Smet1, Geoffrey Baer2,
and Ben Graf2
1Radiology, University of Wisconsin, Madison,
Wisconsin, United States, 2Orthopedic
Surgery, University of Wisconsin, Madison, Wisconsin,
United States
A routine MRI protocol consisting of multi-planar fast
spin-echo sequences and a sagittal T2 mapping sequence
were performed at 3.0T on the knee of 114 symptomatic
patients who underwent subsequent arthroscopy. Two
radiologists reviewed all MRI examinations to determine
the presence or absence of cartilage lesions first using
the routine MRI protocol alone and then using the
routine MRI protocol along with the T2 maps. Adding the
T2 mapping sequence to the routine MRI protocol improved
the sensitivity for detecting surgically confirmed
cartilage lesions from 72% to 88% with only a moderate
reduction in specificity.
|
12:09 |
0053. |
In plane T2 mapping and
diffusion tensor imaging of lumbar nerve roots using a
reduced-FOV acquisition
Dimitrios C Karampinos1, Gerd Melkus1,
Timothy M Shepherd1, Suchandrima Banerjee2,
Emine U Saritas3, Ajit Shankaranarayanan2,
Chistopher P Hess1, Thomas M Link1,
William P Dillon1, and Sharmila Majumdar1
1Department of Radiology and Biomedical
Imaging, University of California, San Francisco, San
Francisco, CA, United States, 2Global
Applied Science Laboratory, GE Healthcare, Menlo Park,
CA, United States, 3Department
of Bioengineering, University of California, Berkeley,
Berkeley, CA, United States
T2 mapping and diffusion tensor imaging may quantitate
inflammatory changes to lumbar nerve roots affected by
degenerative spine disease. However, imaging spinal
nerve roots accurately is difficult due to their small
caliber and oblique course in all three planes. We
describe initial success using a reduced-FOV single-shot
spin-echo EPI acquisition to obtain T2 mapping and DTI
of the bilateral lumbar nerve roots at the L4 level for
healthy volunteers.
|
12:21 |
0054. |
Validation of bound and
free water measurement using bi-component analysis of UTE
images of cortical bone
Jiang Du 1, Shawn Grogan 2, Won Bae 1,
Christine B Chung 1, Darryl DLima 2,
and Graeme M Bydder 1
1Radiology, University of California, San
Diego, San Diego, California, United States, 2Scripps
Clinic, San Diego, California, United States
|
12:33 |
0055.
|
Can bound and mobile bone
water be distinguished by T2* at 9.4T?
Henry H. Ong1, and Felix W. Wehrli1
1Laboratory for Structural NMR Imaging,
Departement of Radiology, University of Pennsylvania
School of Medicine, Philadelphia, PA, United States
Differentiating bound and mobile bone water (BW) may
provide valuable insight in bone health and
microarchitecture. Previous reports have used T2*
relaxometry to quantify bound and mobile BW at 0.6T and
3T. Here, we investigate the potential to quantify bound
and mobile BW with T2* relaxometry at 9.4T. We compared
3-component exponential fits of FIDs from human cortical
bone specimens with measurements of BW concentration,
porosity, and bound and mobile BW fractions
unambiguously quantified by deuterium NMR. The results
show that at this field strength the 3-components
primarily correlate with collagen protons and mobile BW
but not with bound BW.
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