Hybrid dante and phase‐contrast imaging technique for measurement of three‐ dimensional myocardial wall motion

Perman, William H.; Creswell, Lawrence L.; Wyers, Stephan G.; Moulton, Michael J.; Pasque, Michael K.

doi:10.1002/jmri.1880050118

Cited by 21 publications

(20 citation statements)

References 11 publications

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“…Then 2-D reference map could be estimated as follows [see (32)]: (27) where . Using (32) and (27), the error in this estimate can be written as (28) If the error were small, i.e., -then and (29) In the simulation experiments described below, the error was small enough to use (29). Moreover, in the simulation, we know the true reference map and we can compute using (11) and (14).…”

Section: ) Bandpass Filtermentioning

confidence: 99%

“…It is also possible to directly measure the temporal derivative of strain, the so-called strain rate [26], [27], but this method is also limited to small motions. Other variations on velocity encoding exist, including the simultaneous use of velocity encoding and tagging [24], [28]. The primary limitations of all the velocity encoding approaches are the inability to measure large motions, low noise immunity, and susceptibility to motion artifacts.…”

Section: Introductionmentioning

confidence: 99%

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Imaging heart motion using harmonic phase MRI

Osman

McVeigh

Prince

2000

IEEE Trans. Med. Imaging

376

390

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Abstract-This paper describes a new image processing technique for rapid analysis and visualization of tagged cardiac magnetic resonance (MR) images. The method is based on the use of isolated spectral peaks in spatial modulation of magnetization (SPAMM)-tagged magnetic resonance images. We call the calculated angle of the complex image corresponding to one of these peaks a harmonic phase (HARP) image and show that HARP images can be used to synthesize conventional tag lines, reconstruct displacement fields for small motions, and calculate two-dimensional (2-D) strain. The performance of this new approach is demonstrated using both real and simulated tagged MR images. Potential for use of HARP images in fast imaging techniques and three-dimensional (3-D) analyses are discussed.

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Section: ) Bandpass Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Imaging heart motion using harmonic phase MRI

Osman

McVeigh

Prince

2000

IEEE Trans. Med. Imaging

376

390

View full text Add to dashboard Cite

show abstract

“…e jϕe e jϕz cos(ωx − ϕ x ), [5] I h (q, t) ≈ ρ(r, t)e jϕe e −jϕz cos(ωy − ϕ y ), [6] where ϕ x = ωu x and ϕ y = ωu y are known as the displacement-encoded phases (8). Note that since a positive z-gradient is applied to the vertical tag acquisition and a negative z-gradient is applied to the horizontal tag acquisition (see Fig.…”

Section: Imaging Equationsmentioning

confidence: 99%

“…[5] and [6] is done by applying the 2D HARP concept motion, and also include the phases induced by deliberate z-encoding ϕ z and from erroneous phase sources, ϕ e . As illustrated in Fig.…”

Section: A: Extraction Of Displacement-encoding Phase Mapsmentioning

confidence: 99%

Three‐dimensional magnetic resonance myocardial motion tracking from a single image plane

Abd‐Elmoniem

Osman

Prince

et al. 2007

Magnetic Resonance in Med

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Three-dimensional imaging for the quantification of myocardial motion is a key step in the evaluation of cardiac disease. A tagged magnetic resonance imaging method that automatically tracks myocardial displacement in three dimensions is presented. Unlike other techniques, this method tracks both in-plane and through-plane motion from a single image plane without affecting the duration of image acquisition. A small z -encoding gradient is subsequently added to the refocusing lobe of the slice-selection gradient pulse in a slice following CSPAMM acquisition. An opposite polarity z -encoding gradient is added to the orthogonal tag direction. The additional z -gradients encode the instantaneous through plane position of the slice. The vertical and horizontal tags are used to resolve in-plane motion, while the added z-gradients is used to resolve through-plane motion. Postprocessing automatically decodes the acquired data and tracks the three-dimensional displacement of every material point within the image plane for each cine frame. Experiments include both a phantom and in vivo human validation. These studies demonstrate that the simultaneous extraction of both in-plane and through-plane displacements and pathlines from tagged images is achievable. The use of magnetic resonance (MR) imaging for the quantification of regional function in the heart has shown great promise. Myocardial tagging permits rapid imaging and visualization as well as fast, automatic computation of inplane-i.e., two-dimensional (2D)-motion measures (1). To account for the complex three-dimensional (3D) motion of the heart, 3D tracking is desired. Previous approaches to the problem of imaging and computing 3D myocardial motion using MR tagging techniques include the use of multiple orthogonal image planes (2-4) and fully 3D MR tagged imaging (5). As well, the use of phase contrast techniques for through-plane velocity imaging together with in-plane tagging has been proposed (6,7). Primary limiting factors in previous approaches include the need for tedious postprocessing procedures and the need for lengthy image acquisition protocols.In this article, we present a novel method, called zHARP, that combines tagged magnetic resonance imaging with through-plane displacement phase encoding and harmonic phase (HARP) postprocessing (1,8). zHARP addresses both of the limitations mentioned earlier. First, it uses an imaging pulse sequence that encodes both in-plane and through-plane motion without affecting the image acquisition speed. Second, it automatically tracks the 3D myocardial displacement of all points in the 2D image plane throughout all acquired cine frames. The zHARP method was validated using both phantom experiments and in-vivo imaging in five human subjects, demonstrating that rapid, automatic, and accurate imaging of myocardial motion in 3D is now feasible. THEORYThe overall objective of zHARP is to measure the displacement over time-i.e., the pathlines-of any point in an image plane. In this section, we describe the theory of zHARP star...

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“…For MR myocardial tagging, the magnetization of the myocardium is commonly modulated prior to a cine imaging procedure. Conventional MR myocardial tagging techniques, such as spatial modulation of magnetization (SPAMM) (7,8), complementary SPAMM (CSPAMM) (9), or Dante tagging (10), have successfully been applied for the acquisition and quantification of a 2D projection of the underlying 3D myocardial motion. However, it has also been suggested that a 3D description of myocardial motion may be more adequate, consistent with the 3D fiber architecture, and the resultant 3D motion of the myocardium (11,12).…”

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confidence: 99%

Myocardial tagging with 3D‐CSPAMM

Ryf

Spiegel

Gerber

et al. 2002

Magnetic Resonance Imaging

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Purpose: To introduce a true three-dimensional (3D) tagging technique for the assessment of myocardial tissue motion. Materials and Methods:To generate a 3D tagging grid, a complementary spatial modulation of magnetization (CSPAMM) was applied in three spatial directions. Imaging was performed using a conventional fast 3D gradient-echo sequence. For automatic analysis of the 3D-CSPAMM data set, evaluation software, based on a 3D extension of the HARP technique, was used.Results: Successful application of the 3D-CSPAMM technique in healthy subjects allowed the accurate determination of quantitative 3D motion patterns in the human heart.Conclusion: 3D-CSPAMM may contribute to the quantification of the local 3D myocardial motion pattern throughout the cardiac cycle.

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Hybrid dante and phase‐contrast imaging technique for measurement of three‐ dimensional myocardial wall motion

Cited by 21 publications

References 11 publications

Imaging heart motion using harmonic phase MRI

Imaging heart motion using harmonic phase MRI

Three‐dimensional magnetic resonance myocardial motion tracking from a single image plane

Myocardial tagging with 3D‐CSPAMM

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