Accurate estimation of the myocardium global function from reduced magnetic resonance image acquisitions

El‐Rewaidy, Hossam; Khalifa, Ayman M.; Fahmy, Ahmed S.

doi:10.1109/embc.2014.6945172

Cited by 3 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Fifth step is to obtain detagged Image by taking the inverse 2D Fourier transform of the filtered k-space image. In order to improve myocardium to blood pool contrast of the resultant images, the Local standard deviation (LSD) image is estimated for each image and multiplied by the detagged image [4] (section 2.4).After that the myocardium is segmented to estimate the global function; Left ventricular mass (L VM) and Ejection Fraction (EF) using the heart model in [5] (section 2. 5).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of cardiac left ventricular mass from Tagged Magnetic Resonance Imaging

Makram

Khalifa

El-Wakad

et al. 2014

2014 Cairo International Biomedical Engineering Conference (CIBEC)

Self Cite

View full text Add to dashboard Cite

Tagged Magnetic Resonance Imaging (tMRI) is considered the gold standard for quantitative assessment of the cardiac regional function. However, quantification of the global function from tMRI is challenging due to the low contrast between myocardium and blood in these images, and hence, prevents the accurate segmentation of the myocardium. In this work, a method for enhancing the myocardium-to-blood contrast in tagged MR images is presented. First, the tag pattern in tMRI is removed by accurately suppressing the frequency components of the tag pattern to produce tagless images. Then, the image contrast is enhanced by estimating the local standard deviation and using it to suppress the blood signal intensity. The proposed method is applied on a dataset for 12 patients to calculate the global cardiac functional parameters. The results are then compared to those calculated from standard cine MRI image sequences of the same patients. The results show that the proposed method can be used to accurately estimate the left ventricular volume and mass.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluation of cardiac left ventricular mass from Tagged Magnetic Resonance Imaging

Makram

Khalifa

El-Wakad

et al. 2014

2014 Cairo International Biomedical Engineering Conference (CIBEC)

Self Cite

View full text Add to dashboard Cite

show abstract

Assessment of cardiac mass from tagged magnetic resonance images

et al. 2015

View full text Add to dashboard Cite

show abstract

Improved estimation of the cardiac global function using combined long and short axis MRI images of the heart

El‐Rewaidy

Fahmy

2016

BioMed Eng OnLine

Self Cite

View full text Add to dashboard Cite

Background Estimating the left ventricular (LV) volumes at the different cardiac phases is necessary for evaluating the cardiac global function. In cardiac magnetic resonance imaging, accurate estimation of the LV volumes requires the processing a relatively large number of parallel short-axis cross-sectional images of the LV (typically from 9 to 12). Nevertheless, it is inevitable sometimes to estimate the volume from a small number of cross-sectional images, which can lead to a significant reduction of the volume estimation accuracy. This usually encountered when a number of cross-sectional images are excluded from analysis due to patient motion artifacts. In some other cases, the number of image acquisitions is reduced to accommodate patients who cannot withstand long scan times or multiple breath-holds. Therefore, it is required to improve the accuracy of estimating the LV volume from a reduced number of acquisitions.MethodsIn this work, we propose a method for accurately estimating the LV volume from a small number of images. The method combines short-axis (SAX) and long axis (LAX) cross sectional views of the heart to accurately estimate the LV volumes. In this method, the LV is divided into a set of consecutive chunks and a simple geometric model is then used to calculate the volume of each chunk. Validation and performance evaluation of the proposed method is achieved using real MRI datasets (25 patients) in addition to CT-based phantoms of human hearts.ResultsThe results show a better performance of the proposed method relative to the other available techniques. It is shown that, at the same number of cross-sectional images, the volume calculation error is significantly lower than that of current methods. In addition, the experiments show that the results of the proposed model are reproducible despite variable orientations of the imaged cross-sections.ConclusionA new method for calculating the LV volume from a set of SAX and LAX MR images has been developed. The proposed method is based on fusing the SAX and LAX segmented contours to accurately estimate the LV volume from a small number of images. The method was tested using simulated and real MRI datasets and the results showed improved accuracy of estimating the LV volume from small number of images.

show abstract

Accurate estimation of the myocardium global function from reduced magnetic resonance image acquisitions

Cited by 3 publications

References 11 publications

Evaluation of cardiac left ventricular mass from Tagged Magnetic Resonance Imaging

Evaluation of cardiac left ventricular mass from Tagged Magnetic Resonance Imaging

Assessment of cardiac mass from tagged magnetic resonance images

Improved estimation of the cardiac global function using combined long and short axis MRI images of the heart

Contact Info

Product

Resources

About