Tagged magnetic resonance imaging of the heart: a survey

Axel, Leon; Montillo, Albert; Kim, Daniel

doi:10.1016/j.media.2005.01.003

Cited by 112 publications

(95 citation statements)

References 126 publications

(146 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Hence, our preliminary trial with 17-segment contractility estimated from actual data cannot be assessed in a thoroughly quantitative manner, although the results obtained are consistent with the six-region estimation, with some adequate trends observed when comparing with late enhancement imaging. In the future, however, we will also employ tagged MR images, either with directly extracted myocardium displacements [3], or by extending in a straightforward manner the estimator used in this work based on measuring distances between the simulated and observed surfaces with the tag planes [25]. We can conjecture that the level of details accessible with this type of data would be significantly enhanced, and we could also expect to benefit from this to estimate some other physical parameters, such as passive tissue stiffness or quantities pertaining to the electrical activation.…”

Section: Discussionmentioning

confidence: 99%

Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model

Chabiniok

Moireau

Lesault

et al. 2011

Biomech Model Mechanobiol

129

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model

Chabiniok

Moireau

Lesault

et al. 2011

Biomech Model Mechanobiol

129

View full text Add to dashboard Cite

“…A common approach [1,[9][10][11] for the MRI-based measurement of soft tissue deformation is to employ SPatial Modulation of the Magnetization (SPAMM) tagged MRI [12,13]. In SPAMM tagged MRI the tissue is temporarily magnetically tagged using a periodic signal modulation and tracking of the tag pattern allows measurement of deformation.…”

Section: Introductionmentioning

confidence: 99%

Validation of continuously tagged MRI for the measurement of dynamic 3D skeletal muscle tissue deformation

Moerman¹,

Sprengers²,

Simms³

et al. 2012

Medical Physics

View full text Add to dashboard Cite

Purpose: Typically SPAtial Modulation of the Magnetization (SPAMM) tagged MRI requires many repeated motion cycles limiting the applicability to highly repeatable tissue motions only. This paper describes the validation of a novel SPAMM tagged MRI and post-processing frame work for the measurement of complex and dynamic 3D soft tissue deformation following just 3 motion cycles. Techniques are applied to indentation induced deformation measurement of the upper arm and a silicone gel phantom.Methods: A SPAMM tagged MRI methodology is presented allowing continuous (3.3-3.6 Hz) sampling of 3D dynamic soft tissue deformation using non-segmented 3D acquisitions. The 3D deformation is reconstructed by the combination of 3 mutually orthogonal tagging directions, thus requiring only 3 repeated motion cycles. In addition a fully automatic post-processing framework is presented employing Gabor scale-space and filter-bank analysis for tag extrema segmentation and triangulated surface fitting aided by Gabor filter bank derived surface normals. Deformation is derived following tracking of tag surface triplet triangle intersections. The dynamic deformation measurements were validated using indentation tests (~20 mm deep at 12 mm/s) on a silicone gel soft tissue phantom containing contrasting markers which provide a reference measure of deformation. In addition, the techniques were evaluated in-vivo for dynamic skeletal muscle tissue deformation measurement during indentation of the biceps region of the upper arm in a volunteer. Results:For the phantom and volunteer tag point location precision were 44 µm and 92 µm respectively resulting in individual displacements precisions of 61 µm and 91 µm respectively. For both the phantom and volunteer data cumulative displacement measurement accuracy could be evaluated and the difference between initial and final locations showed a mean and standard deviation of 0.44 mm and 0.59 mm for the phantom and 0.40 mm and 0.73 mm for the human data. Finally accuracy of (cumulative) displacement was evaluated using marker tracking in the silicone gel phantom. Differences between true and predicted marker locations showed a mean of 0.35 mm and a standard deviation of 0.63 mm. Conclusions:A novel SPAMM tagged MRI and fully automatic post-processing framework for the measurement of complex 3D dynamic soft tissue deformation following just 3 repeated motion cycles was presented. The techniques demonstrate dynamic measurement of complex 3D soft tissue deformation at sub-voxel accuracy and precision and were validated for 3.3-3.6Hz sampling of deformation speeds up to 12 mm/s.

show abstract

“…The most widely used technique for measurement of ventricular strains is MR tagging combined with cine-MRI acquisition. MR tagging (Axel et al, 2005;McVeigh and Zerhouni, 1991;Zerhouni et al, 1988;Moore et al, 1992) applies a local perturbation of the magnetization of the myocardium with selective radiofrequency saturation to produce multiple, thin tag planes. The resulting magnetization lines are used as fiducials to track the deformation of the myocardium.…”

Section: Discussionmentioning

confidence: 99%

“…The resulting magnetization lines are used as fiducials to track the deformation of the myocardium. Since the technique requires the application of tags prior to imaging, the resolution is necessarily limited by tag spacing and fading of tags (Axel et al, 2005;Moore et al, 1992). In contrast, the resolution of strain predictions from Hyperelastic Warping is limited by thickness of the pixel, the resolution of the finite element mesh and the image content itself (Veress et al, 2005a,b;Phatak et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…Typically, image-based analyses of LV function (e.g. MR tagging Axel et al, 2005;McVeigh and Zerhouni, 1991;Pai and Axel, 2006;Zerhouni et al, 1988), 2-D echocardiography (Ballo et al, 2006;Becker et al, 2006;Weidemann et al, 2001) provide fast results with clinicallyrelevant data, but the methods are partially limited by image noise and sparse image data. Higher resolution predictions of LV stress/strain are available with computational models that can account for localized material behavior, including fiber contraction and fiber direction (Guccione and McCulloch, 1993a,b;Veress et al, 2006), although the correspondence of these computational models with clinical data is generally unknown.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration

Phatak

Maas

Veress

et al. 2007

Functional Imaging and Modeling of the Heart

View full text Add to dashboard Cite

The objective of this study was to validate a deformable image registration technique, termed Hyperelastic Warping, for left ventricular strain measurement during systole using cine-gated, nontagged MR images with strains measured from tagged MRI. The technique combines deformation from high resolution, non-tagged MR image data with a detailed computational model, including estimated myocardial material properties, fiber direction, and active fiber contraction, to provide a comprehensive description of myocardial contractile function. A normal volunteer (male, age 30) with no history of cardiac pathology was imaged with a 1.5 T Siemens Avanto clinical scanner using a TrueFISP imaging sequence and a 32-channel cardiac coil. Both tagged and non-tagged cine MR images were obtained. The Hyperelastic Warping solution was evolved using a series of non-tagged images in ten intermediate phases from end-diastole to end-systole. The solution may be considered as ten separate warping problems with multiple templates and targets. At each stage, an active contraction was initially applied to a finite element model, and then image-based warping penalty forces were utilized to generate the final registration. Warping results for circumferential strain (R 2 = 0.75) and radial strain (R 2 = 0.78) were strongly correlated with results obtained from tagged MR images analyzed with a Harmonic Phase (HARP) algorithm. Results for fiber stretch, LV twist, and transmural strain distributions were in good agreement with experimental values in the literature. In conclusion, Hyperelastic Warping provides a unique alternative for quantifying regional LV deformation during systole without the need for tags.

show abstract

Tagged magnetic resonance imaging of the heart: a survey

Cited by 112 publications

References 126 publications

Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model

Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model

Validation of continuously tagged MRI for the measurement of dynamic 3D skeletal muscle tissue deformation

Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration

Contact Info

Product

Resources

About