Yuyao Zhang1, Hongjiang Wei1, Naying He2, Christian Langkammer 3, Stefan Ropele 3, Fuhua Yan2, and Chunlei Liu1
1University of California, Berkeley, berkeley, CA, United States, 2Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, People's Republic of China, 3Department of Neurology, Medical University of Graz, Graz, Austria
Synopsis
QSM is able to provide high contrast for iron-rich
deep-brain nucleus. This is attributed to the sensitivity of magnetic
susceptibility to the spatial variations of cellular components that exhibit
different magnetic susceptibility properties, especially for brain iron and
myelin. Although there have been atlases proposed for certain age groups, a
longitudinal statistical atlas construction from general healthy population based
on QSM is still lacking. We constructed longitudinal QSM
atlases over the whole lifespan (from 1 to 83 years-old). One common
QSM atlas is built for every 10-years interval to demonstrate the unique age-specific
morphology and appearance of human brains.
INTRODUCTION
Quantitative susceptibility mapping (QSM) is
able to provide high contrast for iron-rich deep-brain nucleus. This is
attributed to the sensitivity of magnetic susceptibility to the spatial
variations of molecular or cellular components that exhibit different magnetic
susceptibility properties, especially for brain iron and myelin. Although there
have been atlases proposed for certain age groups1, a longitudinal statistical
atlas construction from general healthy population based on QSM is still lacking.
In this work, we constructed longitudinal QSM atlases over the whole lifespan
(from 1 to 83 years-old), aiming to achieve an improved characterization of
normative human brain development and aging related to susceptibility changes.
One common QSM atlas is built for every 10-years interval to demonstrate the unique
age-specific morphology and appearance of human brains. This 4D longitudinal
atlas provides an efficient tool for studying and analyzing iron deposition in
deep-brain nucleus for different age intervals, as well as brain myelination
and demyelination process for normal aging. METHOD
A total of 152 subjects (83 F/69 M) within age 1-83
years old were included. The 8 infant subjects (age 1-2) were scanned at the
Brain Imaging & Analysis Center of Duke University on a MR750 3T scanner.
The 14 toddlers (age 5-10) and 13 teenagers (age 10-20) subjects are collected
at the Medical University of Graz, Austria using a Siemens TimTrio 3T scanner.
The 45 younger (age 22-53) subjects and the 72 older (age 46-83) subjects were
scanned at Department of Radiology, Ren Ji Hospital, Shanghai, China using a GE
HDx 3T scanner. All the images were resampled to the same spatial resolution 1×1×1
mm3 through operation in k-space. Except for the infant subjects,
the rest 144 subjects are separated into 8 age groups, for each group the age
interval is 10 years (i.e., 10-20 years old, … 70-80 years old). A group-wise registration algorithm was conducted
for each age interval to produce an age-specific anatomical template (Fig. 1). Then, a longitudinal registration is performed across
different age intervals to generate the longitudinal common atlas space. RESULTS
Fig.2 shows the susceptibility evolution in white
matter bundles, e.g., internal capsule (IC) and splenium of corpus callosum
(SCC). For the youngest brain template (1 year), the susceptibility contrast
between white matter and gray matter are apparently lower than that of the middle-age
brain template (30-40 years), susceptibility in both IC and SCC becomes more
diamagnetic as shown by the fitted curves in the bottom row of Fig. 2. Both
white matter bundles of the old-age template (60-70 years) become relatively
more paramagnetic comparing to those of the 30-40 year-old template. This
result indicates that the brain white matter myelinates during brain maturation
and then demyelinates with aging which is consistent with previous DTI studies
on normal aging2. As shown in Fig.3, the susceptibility contrast between deep gray matter (e.g., putamen
(PU), globus pallidus (GP) and caudate nucleus (CN)) and surroundings is relatively low
in infant brain, which indicates
less iron content stored in newborns3. The mean susceptibility value within
each region shows an exponential growth with aging, which is supported by the
classic histochemical studies4. For infants, toddlers and teenagers, the
inner and outer GP can be well distinguished based on susceptibility differences.
Anatomically, the inner and outer GP is physically separated by medial
medullary lamina, which becomes thinner with human brain maturation resulting a
blurring delineation between the two. The susceptibility inhomogeneity within
PU in adult brains are also revealed by susceptibility images, and this
gradient trend become more apparent with aging. This is consistent with
previous findings that iron accumulation follows a precise direction from
posterior to the anterior in PU.
CONCLUSION
Serial longitudinal QSM atlases were constructed for
every 10-years age interval based on group-wise registration across the whole
human lifespan. The common susceptibility templates provided a standard
coordinate system to conduct group analyses for QSM studies at various ages. These
atlases also provided an efficient tool for segmenting brain structures at
specific age, benefiting from the dramatic delineation between different brain
tissues. The susceptibility templates also indicated common tissue structure
variations at each age interval, which is a critical reference for investigating
the brain gray and white matter development with aging. Acknowledgements
No acknowledgement found.References
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