Cardiac Motion Estimation from Tagged MRI Using 3D-HARP and NURBS Volumetric Model

Liang, Jia; Wang, Yuanquan; Jia, Yingmin

doi:10.1007/978-3-540-76386-4_48

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…[21][22][23][24]) and energy based methods such as non-rigid image registration (e.g. [25,26]) and optical flow methods (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…A wide array of advanced post-processing methods have been proposed for SPAMM tagged MRI (for a detailed discussion see dedicated literature [9,18] and [19]); for instance using deformable models (see review article [20]), spline models (e.g. [21][22][23][24]) and energy based methods such as non-rigid image registration (e.g. [25,26]) and optical flow methods (e.g.…”

Section: Introductionmentioning

confidence: 99%

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

Moerman¹,

Sprengers²,

Simms³

et al. 2012

Medical Physics

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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.

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“…[21][22][23][24]) and energy based methods such as non-rigid image registration (e.g. [25,26]) and optical flow methods (e.g.…”

Section: Introductionmentioning

confidence: 99%

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

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show abstract

“…Current studies for recovering 3D employ a second tagged MRI data set, in which the tags are orientated at an angle to the tags in the first data set. However, only a few tags are set in the additional data set so that the myocardial motion is usually estimated from sparse material points [20]. We refer to [6] and [29] for a survey on cardiac tagged MRI.…”

Section: Introductionmentioning

confidence: 99%

Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters

Shimizu

Amano

Matsuda

2010

Int J Cardiovasc Imaging

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Aim of this study is to demonstrate the advantages of oblique 3D tags in cardiac magnetic resonance imaging (MRI) and the potential to accurately describe the complex motion of the myocardial wall. 3D cardiac Cine data were densely tagged with 3D oblique tags. The latter were tracked using Gabor analysis and active geometries. From the tag intersections, common 2D parameters such as long axis shortening, radial shortening and rotation were evaluated on a global as well as detailed local level. Finally, the same data were used to estimate left ventricular volume change and myocardial stress/strain. We have successfully tracked dense 3D tags and evaluated common parameters on a detailed local level. In addition, inherently 3D parameters could be estimated. Global motion data are in accordance with previously published data. Oblique tags allow for unambiguous localization of the tag plane in all MRI slices and in any time frame. In contrast to HARP, our tag tracking methodology allows for tracking of the tags even when they are dense. Motion parameters can be extracted in greater detail. Moreover, the intersections of dense oblique 3D tags provide a natural basis for a finite element model of the heart. Straight forward access to the 3D characteristics of the cardiac motion is provided.

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“…The slice-following CSPAMM technique was used to take through-plane motion into account. A similar idea was used by Liang et al [79], where 3D sparse displacement field was computed by combining 2D SA and LA HARP. Subsequently, a NURBS model was used for interpolation to get a dense motion field.…”

Section: E Displacement Encoding With Stimulated Echoes (Dense)mentioning

confidence: 99%

MR imaging of left-ventricular function : novel image acquisition and analysis techniques.

Wang¹

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Many cardiac diseases, such as myocardial ischemia, secondary to coronary artery disease, may be identified and localized through the analysis of cardiac deformations. Early efforts for quantifying ventricular wall motion used surgical implantation and tracking of radiopaque markers with X-ray imaging in canine hearts [1]. Such techniques are invasive and affect the regional motion pattern of the ventricular wall during the marker tracking process and, clearly are not feasible clinically. Noninvasive imaging techniques are vital and have been widely applied to the clinic.

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Cardiac Motion Estimation from Tagged MRI Using 3D-HARP and NURBS Volumetric Model

Cited by 5 publications

References 15 publications

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

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

Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters

MR imaging of left-ventricular function : novel image acquisition and analysis techniques.

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