MRI geometric distortion: A simple approach to correcting the effects of non-linear gradient fields

Langlois, Serge; Desvignes, Michel; Constans, Jean-Marc; Revenu, Marinette

doi:10.1002/(sici)1522-2586(199906)9:6<821::aid-jmri9>3.0.co;2-2

Cited by 70 publications

(37 citation statements)

References 16 publications

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“…On the other hand, several phantom-based distortioncorrection methods have been reported in the literature. 16,17,[20][21][22] Baldwin et al characterized and corrected distortion using a three-dimensional (3D) grid phantom and elastic-body spline-kernel transformation function. 17 Carmanos et al constructed a DUPLO-based phantom and proposed distortion correction using information characterized by that phantom and spherical harmonic expansion.…”

Section: Introductionmentioning

confidence: 99%

Improved volumetric measurement of brain structure with a distortion correction procedure using an ADNI phantom

Maikusa

Yamashita

Tanaka³

et al. 2013

Medical Physics

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The authors proposed a phantom-based distortion correction method to improve reproducibility in longitudinal structural brain analysis using multivendor MRI. The authors evaluated the authors' method for phantom images in terms of two geometrical values and for human images in terms of test-retest reproducibility. The results showed that distortion was corrected significantly using the authors' method. In human studies, the reproducibility of voxel-based morphometry analysis for the whole gray matter significantly improved after distortion correction using the authors' method.

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Section: Introductionmentioning

confidence: 99%

Improved volumetric measurement of brain structure with a distortion correction procedure using an ADNI phantom

Maikusa

Yamashita

Tanaka³

et al. 2013

Medical Physics

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“…3D images were finally scaled using an affine transformation calibrated on a resolution phantom (data not shown) to partially account for gradient non-linearities 19 that were corrected for the Cartesian sequences, such as the 3D DESS, with the manufacturer provided warping field.…”

Section: Methodsmentioning

confidence: 99%

Reproducibility of sodium MRI measures of articular cartilage of the knee in osteoarthritis

Newbould

Miller²,

Tielbeek

et al. 2012

Osteoarthritis and Cartilage

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SUMMARY Objective To determine the stability and reproducibility of the sodium magnetic resonance imaging (MRI) signal measured in the articular cartilage of the knee in both healthy volunteers and osteoarthritis (OA) patients. Design This was a prospective Research Ethics Committee approved study that acquired sodium and proton MRI data from 15 subjects with OA (three males, age 64 ± 10) and five healthy controls age and sex matched over the group. Each subject underwent standing planar radiographs of their knees for radiological scoring as well as symptomatological assessment questionnaires. In two MRI sessions on the same day, high resolution double-echo steady state (DESS) and 3D short echo time sodium MRI images of the most diseased knee were acquired and co-registered in each session. A blinded reader (LT) manually delineated the articular cartilage into four discrete regions, and two combined regions, on the DESS images. These regions were applied to the sodium images, and a median sodium signal from each reported. Within-subject and between-subject coefficients of variation were estimated and intraclass correlation coefficients for the healthy control group, OA subject group, and all pooled subjects group were calculated. Results Within-subject variability of sodium MRI at 3 T was 3.2% overall, and 2.0% in healthy age-matched volunteers compared to a reproducibility of 3.6% on OA subjects. Conclusions The reproducibility of sodium MRI was similar in both healthy controls and OA subjects. Researchers piloting techniques in healthy controls thus may expect a similar reproducibility in a controlled trial involving subjects with American College of Rheumatology (ACR)-defined OA of the knee.

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“…However, magnetic inhomogeneities are nonlinear whereas most fusion algorithms are linear. [3554] In addition, fusion between CT and MR images may result in fusion errors that often go undetected. When analyzed in detail, fusion algorithms are found to introduce mean errors of between 1.2 and 1.7 mm; larger errors of close to 4.0 mm may be expected in individual patients.…”

Section: Attention To Detailmentioning

confidence: 99%

Pitfalls in precision stereotactic surgery

Zrinzo

2012

Surg Neurol Int

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Precision is the ultimate aim of stereotactic technique. Demands on stereotactic precision reach a pinnacle in stereotactic functional neurosurgery. Pitfalls are best avoided by possessing in-depth knowledge of the techniques employed and the equipment used. The engineering principles of arc-centered stereotactic frames maximize surgical precision at the target, irrespective of the surgical trajectory, and provide the greatest degree of surgical precision in current clinical practice. Stereotactic magnetic resonance imaging (MRI) provides a method of visualizing intracranial structures and fiducial markers on the same image without introducing significant errors during an image fusion process. Although image distortion may potentially limit the utility of stereotactic MRI, near-complete distortion correction can be reliably achieved with modern machines. Precision is dependent on minimizing errors at every step of the stereotactic procedure. These steps are considered in turn and include frame application, image acquisition, image manipulation, surgical planning of target and trajectory, patient positioning and the surgical procedure itself. Audit is essential to monitor and improve performance in clinical practice. The level of stereotactic precision is best analyzed by routine postoperative stereotactic MRI. This allows the stereotactic and anatomical location of the intervention to be compared with the anatomy and coordinates of the intended target, avoiding significant image fusion errors.

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MRI geometric distortion: A simple approach to correcting the effects of non-linear gradient fields

Cited by 70 publications

References 16 publications

Improved volumetric measurement of brain structure with a distortion correction procedure using an ADNI phantom

Improved volumetric measurement of brain structure with a distortion correction procedure using an ADNI phantom

Reproducibility of sodium MRI measures of articular cartilage of the knee in osteoarthritis

Pitfalls in precision stereotactic surgery

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