Philip M Robson1, Marc R Dweck1, Nicolas A Karakatsanis1, Maria Giovanna Trivieri2, Ronan Abgral1, Johanna Contreras2, Umesh Gidwani2, Jagat P Narula2, Valentin Fuster2, Jason C Kovacic2, and Zahi A Fayad1
1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
Synopsis
Cardiac and coronary
imaging using hybrid PET/MR is gaining increasing interest. PET image reconstruction requires knowledge
of the PET-photon attenuation of the object in order to produce accurate images
of PET tracer activity. The standard
approach for MR-based attenuation correction is breath-hold volumetric imaging
to freeze motion of the chest and abdomen.
However, for imaging the heart, alignment of anatomy during PET data
collection and attenuation measurement is crucial. In this work, we propose mapping attenuation
using a free-breathing golden-angle radial gradient echo sequence and compare
the PET images produced with this novel approach and the standard breath-hold
approach.Purpose
Hybrid PET/MR
scanners offer the opportunity to obtain spatially and temporally co-registered
images with the advantages of both modalities including molecular function and
metabolism from PET and anatomical structure and tissue function from MRI. Hybrid PET/MR has significant potential in
cardiac applications. Recently, 18F-fluoride
PET/CT has been shown to identify micro-calcification in atherosclerotic
plaques associated with recent myocardial infarction[1]. PET/MR offers the ability to investigate active
coronary atherosclerosis while reducing the radiation dose compared to PET/CT
allowing repeated and longitudinal studies.
PET image reconstruction requires knowledge of the PET-photon
attenuation of the object in order to produce accurate images of PET tracer activity. The current standard approach for MR-based
attenuation correction (MRAC) is breath-hold volumetric imaging to freeze
motion of the chest and abdomen. However,
for imaging the heart, alignment of anatomy during PET data collection and
attenuation measurement is crucial. In
this work, we propose mapping attenuation using a free-breathing golden-angle
radial gradient echo sequence and compare the PET images produced with this novel
approach and the standard breath-hold approach.
Methods
Six patients with diagnosed cardiovascular disease or
risk factors were imaged using a Siemens Biograph mMR. PET and MR data were acquired simultaneously
between 40 and 90 minutes after injection of 10 mCi 18F-sodium fluoride[1]. The standard approach reconstructs PET data
using an end-expiration, breath-hold, MRAC map (3D-DIXON-VIBE gradient echo)
with scan parameters: coronal orientation, FOV 500 x 400 x 260 mm
3,
resolution 4.1 x 2.6 x 3.1 mm
3, TR/TE1/TE2 3.6/1.23/2.46 ms, FA 10
o,
scan time 19 s. Our motion-averaged
approach used an MRAC map derived from a free-breathing, golden-angle radial
(GAR) stack-of-stars sequence (3D-GAR-VIBE gradient echo) [2] with scan parameters:
coronal orientation, FOV 500 x 500 x 240 mm
3, resolution 3 x 3 x 3
mm
3, TR 4.5 ms, in-phase TE, FA 9
o, no fat suppression, 1600
radial acquisitions, scan time ~7 min. GAR-VIBE
was reconstructed with adaptive coil-combination to give a constant-signal
multi-coil-combined image for later image segmentation. In addition, GAR-VIBE-MRAC data were self-gated
according to center-of-k-space intensity[3] (as in Siemens WIP 793) to
reconstruct an end-expiration GAR-VIBE-MRAC volume. Finally, a DIXON-VIBE-MRAC
was acquired at end-inspiration.
GAR-VIBE-MRAC maps comprised a single soft tissue component
with linear attenuation coefficient (LAC) 0.1 cm
-1. GAR-VIBE pixel values were plotted as a histogram. A clear peak at zero was discernible from
image values in all images (Fig. 1). The
first trough was used to automatically segment soft-tissue from
background. This approach was chosen to
be independent of user interaction to find the noise level. For comparison, in the DIXON-VIBE-MRAC maps,
both soft tissue and fat were reassigned with LAC 0.1 cm
-1 and lung
was set to background LAC 0 cm
-1.
MRAC maps are shown in Fig. 2.
PET images were reconstructed offline with the
same emission data using each of the four different MRAC maps using e7_tools
(Siemens) with parameters: PSF-OP-OSEM, 3 iterations, 21 subsets, matrix 344 x
344 x 129, 4-mm FWHM Gaussian post-reconstruction filter. Images were analyzed for image quality by an
expert panel (blinded at time of image scoring) to assess the presence of attenuation
correction image artifacts. One mark was
given to each image for the following artifacts: i) dark or ii) bright region
on lung/liver boundary compared to average lung and liver values, iii) dark or
iv) bright regions on heart/lung border compared to average signal within the
heart, v) bright signal localized within the bronchi, vi) spurious non-anatomical
PET signal anywhere in the image.
Average scores for each MRAC method, and paired t-tests were used to compare methods.
Results
Attenuation-corrected
PET images for each MRAC method are shown in Fig. 3. Mismatch between PET signal and attenuation
maps was typical with both end-expiration and end-inspiration breath-hold
DIXON-VIBE-MRAC producing artifacts in the heart/lung and lung/liver boundaries. Using the proposed motion-averaged
GAR-VIBE-MRAC these were significantly reduced (p = 0.002) compared to
end-expiration DIXON-VIBE-MRAC (Fig. 4).
In one patient who had experienced a myocardial infarction, increased
18F-fluoride uptake is evident and co-localized to the left anterior descending
artery (gadolinium contrast-enhanced MRA) corresponding to the infarct
territory on delayed contrast enhanced MRI (Fig. 5).
Discussion and Conclusions
Motion-averaged MRAC
is necessary for artifact-free PET images in the heart. Using the novel golden-angle radial MRAC approach
is superior to the standard breath-hold DIXON-VIBE-MRAC approach. Future work will assess using additional
tissue segments in the MRAC map including fat and lung based on signal from the
T1-weighted GAR-VIBE image. Finally, we
were able to identify increased 18F-fluoride uptake in the coronary artery plaque
of a patient who had recently had a myocardial infarction.
Acknowledgements
This work was supported by NIH grant 2 R01 HL071021-12.References
[1] Joshi NV et al. Lancet 2014;383:705-713. [2] Chandarana H et al. Invest Radiol. 2013;48(1):10-6. [3] Grimm
R et al. Med Image Comput Comput Assist Interv 2013;16:17-24.