Computing the thickness of the ventricular heart wall from 3D MRI images

Golds, Gregory; Beg, Faisal

doi:10.1117/12.593948

Cited by 1 publication

(2 citation statements)

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“…Images were acquired with a 4-element knee phased array coil on a 1.5 T GE CV/I MRI Scanner (GE, Medical System, Wausheka, WI) using an enhanced gradient system with 40 mT/m maximum gradient amplitude and a 150 T/m/s slew rate. Each geometric heart image was first segmented manually to remove trabeculation and papillary muscles, the resultant ventricular walls were segmented automatically into left and right ventricles [6]. Diffusion tensor field over the segmented myocardium was obtained.…”

Section: Resultsmentioning

confidence: 99%

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Two novel methods for computing the 3D cardiac midwall

Dickie

Beg

2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Computation of the cardiac midwall is an important first step in the pipeline for cardiac image analysis. In this paper, we explore two novel techniques that can give a good estimate of the cardiac midwall, and each of these techniques has certain unique advantages and limitations. Laplacian-based midwall technique measures the mid-point of the streamlines of the heat equation from the epicardium to the endocardium and uses standard MR images of the heart. The gamma-wall method measures the fiber midwall which is composed of all points where the fiber travels circumferentially about the ventricle and this is determined by exploiting color image processing techniques. This technique requires the use of diffusion tensor MR images in order to determine the fiber orientation for the entire volume. Both techniques are presented using visualizations on diseased and healthy canine dog hearts.

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Section: Resultsmentioning

confidence: 99%

“…Streamlines of this function T = ∇u |∇u| give a bijective correspondence between the internal and outer surfaces. The length of streamlines at every point on the ventricular surfaces provides an estimate of thickness at that point [6]. In this geometric framework, we define the midwall as the the set of points where u = 0.5 (i.e.…”

Section: Methodsmentioning

confidence: 99%

Two novel methods for computing the 3D cardiac midwall

Dickie

Beg

2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

View full text Add to dashboard Cite

show abstract

Computing the thickness of the ventricular heart wall from 3D MRI images

Cited by 1 publication

References 4 publications

Two novel methods for computing the 3D cardiac midwall

Two novel methods for computing the 3D cardiac midwall

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