Geometric distortion correction for echo planar images using nonrigid registration with spatially varying scale

Li, Yong; Xu, Ning; Fitzpatrick, J. Michael; Dawant, Benoît M.

doi:10.1016/j.mri.2008.03.004

Cited by 15 publications

(12 citation statements)

References 29 publications

(46 reference statements)

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“…The geometric distortion of MR images has been evaluated using phantoms (Walton et al 1996, Bednarz et al 1999, Tanner et al 2000, Mizowaki et al 2000, Breeuwer et al 2001, Yu et al 2001, Koch et al 2003, Wang and Doddrell 2004, Wang et al 2004a, 2004b, Doran et al 2005, Jovicich et al 2006, Karger et al 2006, Baldwin et al 2007, Gunter et al 2009, Stanescu et al 2010, Dammann et al 2011), tissue (Sumanaweera et al 1994) and patient studies (Alexander et al 1995, Bednarz et al 1999, Li et al 2008). Bednarz et al (1999) studied the distortion using the Leksell fixation frame, a skull phantom with a test object imbedded, and an additional head phantom with catheters as markers.…”

Section: Introductionmentioning

confidence: 99%

Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology

Huang

Cao

Baharom³

et al. 2016

Phys. Med. Biol.

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One of the major issues potentially limiting treatment planning with solely MR images is the possibility of geometric distortion inherent in MR images. We designed a large distortion phantom containing a 3D array of spheres and proposed a three-dimensional (3D) approach to determine the distortion of MR image volume. The approach to overcome partially filled spheres is also presented. The phantom was assembled with a 3D array of spheres filled with contrast and was scanned with a 3T MRI simulator. A 3D whole-sphere or half-sphere template is used to match the image pattern. The half-sphere template is used when the normalized cross-correlation value for the whole-sphere template is below a predetermined threshold. Procrustes method was applied to remove the shift induced by rotation and translation of the phantom. Then the distortion map was generated. Accuracy of the method was verified using CT images of a small phantom of the same design. The analysis of the small phantom showed that the method is accurate with an average offset of estimated sphere center 0.12 ± 0.04 mm. The Procrustes analysis estimated the rotation angle to be 1.95° and 0.01°, respectively, when the phantom was placed at 2° and 0° from the ceiling laser. The analysis showed that on the central plane through the magnet center, the average displacement is less than 1 mm for all radii. At distal planes, when the radius is less than 18 cm, the average displacement is less than 1 mm. However, the average displacement is over 1 mm but still less than 1.5 mm for larger radii. A large distortion phantom was assembled and analysis software was developed to characterize distortions in MRI scans. The use of two templates helps reduce the potential impact of residual air bubbles in some of the spheres.

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Section: Introductionmentioning

confidence: 99%

Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology

Huang

Cao

Baharom³

et al. 2016

Phys. Med. Biol.

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“…Jezzard et al (11) described a postprocessing algorithm using a phase field map provided by a double-echo gradient recalled echo image in the brain. Others have used nonrigid registration methods to correct these distortions (12,13). Gholipour et al (7) proposed a hybrid method consisting of field map–guided deformable registration of EPI to an undistorted T2-weighted sequence to correct the distortion.…”

Section: Discussionmentioning

confidence: 99%

“…In clinical practice, we have observed the presence of geometric distortions causing displacement of structures on DWI images relative to fast spin-echo T2-weighted images (T2-FSE). Although several studies address geometric distortion on DWI of other organs (7,8,11,12), this topic has not been explored in the prostate to our knowledge. Understanding the factors that influence image distortion on DWI of the prostate is the first step in developing solutions.…”

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confidence: 99%

Geometric Distortion in Diffusion-weighted MR Imaging of the Prostate—Contributing Factors and Strategies for Improvement

Donato¹,

Costa²,

Yuan³

et al. 2014

Academic Radiology

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Rationale and Objectives Image distortion on diffusion-weighted imaging (DWI) of the prostate in 3T endorectal magnetic resonance imaging (MRI) examinations is common. The aim of this study was to determine the degree of distortion on DWI using a state-of-the-art clinical protocol and to explore the main contributors to geometric distortion. Materials and Methods Forty consecutive patients underwent 3T MRI of the prostate with an endorectal coil filled with air (n = 20) or barium sulfate (n = 20). Distortion was measured as the maximum displacement of the outer boundary of the prostate on DWI relative to T2-weighted imaging. The effects of phase-encoding direction, receiver bandwidth, and parallel imaging were then assessed in a prostate phantom on two MRI scanners from different manufacturers. Results There was no statistical difference in the mean displacement of the prostate on DWI between the air cohort (1.8 ± 1.2 mm, range 0–4.2 mm) and barium cohort (1.8 ± 2.2 mm, range 0–9 mm). Displacement of the prostate was observed in the phase-encoding direction. Phantom experiments demonstrated a horizontal displacement of 6.0 mm in the phase-encoding direction, which decreased with the use of parallel imaging and higher bandwidth. Geometric distortion was similar for all b values and across manufacturers. Conclusions Geometric distortion on DWI of the prostate is common in the phase-encoding direction and does not improve with inflating the coil with barium sulfate. Strategies to reduce this artifact include the use of higher bandwidth and accelerated imaging. Correction of this phenomenon should improve localization of prostate cancer, particularly important for targeted prostate biopsies or focal therapies.

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“…Furthermore, adaptive or spatially varying registration techniques that are currently being explored, such as that reported in Li et al [23], may also help to increase the selectivity of the parameter search. In this method, a priori information regarding EPI deformations is used to create a scale map with which the local sensitivity of the registration is adjusted accordingly.…”

Section: Registration Performancementioning

confidence: 99%

Spatial correction of echo planar imaging deformation for subject specific diffusion tensor MRI analysis

Lau

Ruys

Carter

et al. 2008

2008 IEEE International Symposium on IT in Medicine and Education

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Diffusion tensor magnetic resonance imaging (DT-MRI or DTI) is a specialized mode of MRI, used for functional imaging of the body's internal structures.Echo planar imaging (EPI), the currently accepted protocol for acquiring DTI, suffers from severe image artefact, which complicates analysis ofthe data.We present our current progress in registration of T2-weighted MRI acquired with EPI and conventional protocols.The reported algorithm uses a multiresolution registration method with B-spline transform to correct for spatial deformation. This is the first step in registration ofa full DTI dataset.It was found that direct application ofa popular Bspline algorithm can correct some deformation in the images but further refinements are required to achieve more accurate results.

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Geometric distortion correction for echo planar images using nonrigid registration with spatially varying scale

Cited by 15 publications

References 29 publications

Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology

Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology

Geometric Distortion in Diffusion-weighted MR Imaging of the Prostate—Contributing Factors and Strategies for Improvement

Spatial correction of echo planar imaging deformation for subject specific diffusion tensor MRI analysis

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