Myocardial wall thickness and thickening from gated magnetic resonance images

Barest, Glenn D.; Bacharach, Stephen L.; Douglas, Margaret A.; Misovec, A.; Perrone‐Filardi, Pasquale; Mok, David; Bonow, Robert O.

doi:10.1109/cic.1991.168990

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…Several groups have proposed techniques for the true 3D wall motion/thickening quantification based on 3D images (10-22). Clinically, wall motion abnormalities are assessed visually and are currently the preferred standard for practical purposes (23).…”

Section: Introductionmentioning

confidence: 99%

Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images

Prasad

Rauthan

Kavanagh

et al. 2010

Magnetic Resonance Imaging

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Purpose: To develop 3D quantitative measures of regional myocardial wall motion and thickening using cardiac magnetic resonance imaging (MRI) and to validate them by comparison to standard visual scoring assessment. Materials and Methods:In all, 53 consecutive subjects with short-axis slices and mid-ventricular 2-chamber/4-chamber views were analyzed. After correction for breathhold-related misregistration, 3D myocardial boundaries were fitted to images and edited by an imaging cardiologist. Myocardial thickness was quantified at end-diastole and end-systole by computing the 3D distances using Laplace's equation. 3D thickening was represented using the standard 17-segment polar coordinates. 3D thickening was compared with 3D wall motion and with expert visual scores (6-point visual scoring of wall motion and wall thickening; 0 ¼ normal; 5 ¼ greatest abnormality) assigned by imaging cardiologists.Results: Correlation between ejection fraction and thickening measurements was (r ¼ 0.84; P < 0.001) compared to correlation between ejection fraction and motion measurements (r ¼ 0.86; P < 0.001). Good negative correlation between summed visual scores and global wall thickening and motion measurements were also obtained (r thick ¼ À0.79; r motion ¼ À0.74). Additionally, overall good correlation between individual segmental visual scores with thickening/wall motion (r thick ¼ À0.69; r motion ¼ À0.65) was observed (P < 0.0001).Conclusion: 3D quantitative regional thickening and wall motion measures obtained from MRI correlate strongly with expert clinical scoring.

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Section: Introductionmentioning

confidence: 99%

Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images

Prasad

Rauthan

Kavanagh

et al. 2010

Magnetic Resonance Imaging

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“…3D wall thickness quantification techniques have been explored by several groups [7–19]. These methods are based on volume element approaches and, in some cases, require additional tagged MR imaging acquisitions [14–16].…”

Section: Introductionmentioning

confidence: 99%

“…However, these techniques are inherently straight-line based, and thus are sensitive to imperfect contours. In addition, the above mentioned methods work poorly with highly irregular surfaces, a frequent occurrence in high resolution MRI images of endocardial borders [19]. …”

Section: Introductionmentioning

confidence: 99%

Myocardial wall thickening from gated magnetic resonance images using Laplace's equation

Prasad

Rauthan

Kavanagh

et al. 2009

Medical Imaging 2009: Computer-Aided Diagnosis

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The aim of our work is to present a robust 3D automated method for measuring regional myocardial thickening using cardiac magnetic resonance imaging (MRI) based on Laplace’s equation. Multiple slices of the myocardium in short-axis orientation at end-diastolic and end-systolic phases were considered for this analysis. Automatically assigned 3D epicardial and endocardial boundaries were fitted to short-axis and long axis slices corrected for breathold related misregistration, and final boundaries were edited by a cardiologist if required. Myocardial thickness was quantified at the two cardiac phases by computing the distances between the myocardial boundaries over the entire volume using Laplace’s equation. The distance between the surfaces was found by computing normalized gradients that form a vector field. The vector fields represent tangent vectors along field lines connecting both boundaries. 3D thickening measurements were transformed into polar map representation and 17-segment model (American Heart Association) regional thickening values were derived. The thickening results were then compared with standard 17-segment 6-point visual scoring of wall motion/wall thickening (0=normal; 5=greatest abnormality) performed by a consensus of two experienced imaging cardiologists. Preliminary results on eight subjects indicated a strong negative correlation (r=−0.8, p<0.0001) between the average thickening obtained using Laplace and the summed segmental visual scores. Additionally, quantitative ejection fraction measurements also correlated well with average thickening scores (r=0.72, p<0.0001). For segmental analysis, we obtained an overall correlation of −0.55 (p<0.0001) with higher agreement along the mid and apical regions (r=−0.6). In conclusion 3D Laplace transform can be used to quantify myocardial thickening in 3D.

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“…Noise (10% and 20%) was added to the images using a random noise generator. The "true" thickening of each myocardial sector was determined using an area-based method [5] prior to blurring. For each of 16 annular sectors, the area in the sector along with the distance from the center of the left ventricle was used to determine the average thickness of that sector.…”

Section: Mri Test Datamentioning

confidence: 99%

Can partial volume effects be used to measure myocardial thickness and thickening?

Mok

Bartlett

Bacharach

et al.

Proceedings Computers in Cardiology

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It has been hypothesized that myocardial thickness and thickening can be measured from gated PET or SPECT studies by observing the partial volume 111 related intensity changes in the myocardium which occur from end-diastole to end-systole [2,3]. This paper makes a preliminary assessment of whether this hypothesis is valid. Using magnetic resonance imaging (MRI) data to simulate positron emission tomography (PET) images, it has been found that serious errors may occur with some implementations of these count-based methods for measuring thickness and thickening, due to the nonlinearity of the partial volume effects. A model-based method is presented which overcomes some of these limitations, but which is subject to limitations in the presence of statistical noise.

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Myocardial wall thickness and thickening from gated magnetic resonance images

Cited by 3 publications

References 8 publications

Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images

Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images

Myocardial wall thickening from gated magnetic resonance images using Laplace's equation

Can partial volume effects be used to measure myocardial thickness and thickening?

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