- Meeting abstract
- Open Access
Highly accelerated Point-Spread Function mapping based on Finite Rate of Innovation for EPI distortion correction
EJNMMI Physics volume 1, Article number: A45 (2014)
Hybrid MR-PET scans enable acquisition of both types of images within a session. Despite consistent subject positioning, image alignment can still be challenging. Functional MR images rely on echo-planar imaging (EPI) and present geometric distortions due to static B0 field inhomogeneities. Direct B0  and Point Spread Function (PSF) mapping  (Figure 1) have been proposed for distortion correction. The PSF method is more robust , but acquisition times are long even with previous acceleration approaches [4–7].
Images were acquired on a 3.0T Philips Achieva: 2.5×2.5×4.0 mm3, matrix 96×95, 95 ks steps with under-sampling retrospectively performed. PSF peak position was estimated using both the fully-sampled (zero-filled by a factor of 1000) and highly-undersampled data.
To determine the PSF peak location, pattern matching was performed. The signal measured at each spatial location was compared to a predicted signal pattern accounting for the ks sampling scheme and the search progressively refined up to the intended precision. EPI images were undistorted as in .
Figure 2 shows example PSF peak shift maps (relative to expected undistorted positions). Figure 3A shows the original EPI slice matching Figure 2, and Figures 3B-E show the corrected images using each displacement map. Comparison with the GE image (Figure 3F) confirms accurate geometrical corrections.
Using the proposed approach the position of the PSF peak can be estimated from a very small number of samples. In the future distortion map estimation could easily be incorporated into standard preparation phases. Making distortion correction of EPI images more practical would facilitate combining functional PET and MR information as well as structural connectivity information from diffusion-weighted MR images.
Jezzard P, et al.: Correction for geometric distortion in echo planar images from B0 field variations. MRM 1995, 34: 65–73. 10.1002/mrm.1910340111
Robson MD, et al.: Measurement of the point spread function in MRI using constant time imaging. MRM 1997, 38: 733. 10.1002/mrm.1910380509
Zeng H, et al.: Image distortion correction in EPI: Comparison of field mapping with point spread function mapping. MRM 2002, 48: 137–146. 10.1002/mrm.10200
Zaitsev M, et al.: Point spread function mapping with parallel imaging techniques and high acceleration factors: Fast, robust, and flexible method for echo-planar imaging distortion correction. MRM 2004, 52: 1156–66. 10.1002/mrm.20261
In M, et al.: Highly accelerated PSF-mapping for EPI distortion correction with improved fidelity. MagnResonMaterPhy 2012, 25: 183–192.
Dragonu I, et al.: Accelerated point spread function mapping using signal modeling for accurate echo-planar imaging geometric distortion correction. MRM 2013, 69: 1650–56. 10.1002/mrm.24396
Nunes RG, et al.: ESMRMB. 2013, 30: 145.
Vetterli M, et al.: Sampling signals with finite rate of innovation. IEEE Trans Sig Process 2002, 50: 1417–28. 10.1109/TSP.2002.1003065
Maravic I, et al.: IEEE Trans Sig Process. 2005, 53: 2788–2805.
Oh SH, et al.: Distortion correction in EPI at ultra-high-field MRI using PSF mapping with optimal combination of shift detection dimension. MRM 2012, 68: 1239–46. 10.1002/mrm.23317