An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images

Objective: The aim of this study was to validate the accuracy of a new automatic method for scar segmentation and compare its performance with that of two other frequently used segmentation algorithms.Methods: Twenty-six late gadolinium enhancement cardiovascular magnetic resonance images of diseased hearts were segmented by the full width at half maximum (FWHM) method, the n standard deviations (nSD) method, and our new automatic method. The results of the three methods were compared with the consensus ground truth obtained by manual segmentation of the ventricular boundaries.Results: Our automatic method yielded the highest Dice score and the lowest volume difference compared with the consensus ground truth segmentation. The nSD method produced large variations in the Dice score and the volume difference. The FWHM method yielded the lowest Dice score and the greatest volume difference compared with the automatic, 6SD, and 8SD methods, but resulted in less variation when different observers segmented the images.Conclusion: The automatic method introduced in this study is highly reproducible and objective. Because it requires no manual intervention, it may be useful for processing large datasets produced in clinical applications.

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Validation of a Fully Automatic Method for the Routine Selection of the Anterior and Posterior Commissures in Magnetic Resonance Images

Stereotactic and Functional Neurosurgery ◽

10.1159/000209295 ◽

2009 ◽

Vol 87 (3) ◽

pp. 148-154 ◽

Cited By ~ 14

Author(s):

Srivatsan Pallavaram ◽

Benoit M. Dawant ◽

Tatsuki Koyama ◽

Hong Yu ◽

Joseph Neimat ◽

...

Keyword(s):

Magnetic Resonance ◽

Magnetic Resonance Images ◽

Automatic Method ◽

Fully Automatic ◽

Selection Of

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Fully automatic method for segmentation of brain tumor from multimodal magnetic resonance images using wavelet transformation and clustering technique

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22202 ◽

2016 ◽

Vol 26 (4) ◽

pp. 305-314 ◽

Cited By ~ 4

Author(s):

Kalaiselvi Thiruvenkadam ◽

Nagaraja Perumal

Keyword(s):

Brain Tumor ◽

Magnetic Resonance ◽

Wavelet Transformation ◽

Magnetic Resonance Images ◽

Automatic Method ◽

Clustering Technique ◽

Fully Automatic

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An emerging technology: Nuclear magnetic resonance microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010010706x ◽

1988 ◽

Vol 46 ◽

pp. 1000-1001

Author(s):

M.J. Hennessy ◽

E. Kwok

Keyword(s):

Nuclear Magnetic Resonance ◽

Magnetic Resonance ◽

Relaxation Times ◽

Basic Research ◽

Local Environment ◽

Magnetic Resonance Images ◽

Nmr Microscopy ◽

Mri Scans ◽

Temperature Relaxation ◽

Nuclear Magnetic

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.

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Functional information from magnetic resonance imaging

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100136799 ◽

1995 ◽

Vol 53 ◽

pp. 84-85

Author(s):

Alan P. Koretsky ◽

Afonso Costa e Silva ◽

Yi-Jen Lin

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

High Resolution ◽

Cancer Biology ◽

Imaging Modality ◽

Magnetic Resonance Images ◽

Great Success ◽

Functional Information ◽

Resonance Imaging ◽

High Resolution Mri

Magnetic resonance imaging (MRI) has become established as an important imaging modality for the clinical management of disease. This is primarily due to the great tissue contrast inherent in magnetic resonance images of normal and diseased organs. Due to the wide availability of high field magnets and the ability to generate large and rapidly switched magnetic field gradients there is growing interest in applying high resolution MRI to obtain microscopic information. This symposium on MRI microscopy highlights new developments that are leading to increased resolution. The application of high resolution MRI to significant problems in developmental biology and cancer biology will illustrate the potential of these techniques.In combination with a growing interest in obtaining high resolution MRI there is also a growing interest in obtaining functional information from MRI. The great success of MRI in clinical applications is due to the inherent contrast obtained from different tissues leading to anatomical information.

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