Ziel/Aim:
Head motion can degrade accuracy of time activity curves (TAC) in quantitative neuroimaging;
this becomes especially true for long PET acquisition protocols. Apart from misalignment
of regions of interest, also a bias occurs due to mismatches between the subject attenuation
map (AM) in a fixed reference position and the various head positions. Any mismatch
causes a bias of the attenuation correction (AC), but also of the scatter correction
(SC) which usually depends on the AM. Thus, motion correction (MC) is a prerequisite
for quantification. Where no external tracking device is available, motion parameters
can be estimated directly from PET images. We have implemented a robust MC workflow
based on PET image rigid co-registration. Now, it can be routinely used for neuroimaging
studies with our Siemens hybrid MR/BrainPET scanner [1].
Methodik/Methods:
Firstly, PET images are reconstructed according to the desired framing scheme, but
without applying AC and SC. For each series of such (motion-uncorrected) images, we
perform a co-registration with respect to a reference image using PMOD [2]. The found
rigid transformations can be congruently applied to the AMs. Finally, images are reconstructed
with PRESTO [3] and using the Multiple Acquisition Frame (MAF) method [4] with matched
AMs.
Ergebnisse/Results:
We evaluated the method for [11C]flumazenil as well as [11C]ABP688 measurements with a series of subsequent frames of 2 – 5 minutes acquisition
time (30 min. post-injection). The limited statistics due to the short frame length
is still sufficient for the co-registration. After registration of the frames and
applying the transformations according to MAF, any visible misalignment between images
disappears and outliers in TACs are reduced.
Schlussfolgerungen/Conclusions:
The image-based head MC method allows to routinely detect and compensate inter-frame
motion without additional tracking hardware. The accuracy of TACs can be evidently
improved in case of subject motion. Intra-frame motion becomes of minor relevance
due to the short frame length.
Literatur/References:
[1] IEEE TRPMS, Aug 2018, early access.
[2] http://www.pmod.com.
[3] IEEE TMI, 30, 2011, 879 – 892.
[4] IEEE TMI, 16, 1997, 137 – 144.
