Adaptive blood pool segmentation in three‐dimensions: Application to MR cardiac evaluation

Kaushikkar, S; Li, Debiao; Haacke, E. Mark; Dávila‐Román, Víctor G.

doi:10.1002/jmri.1880060419

Cited by 11 publications

(3 citation statements)

References 7 publications

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“…There is an extensive literature on algorithms with the potential for automatic or semiautomatic MR image analysis. These include methods based on thresholding (9–12), edge detection (13–16), deformable models (17–19), active contour models (ACM) (20, 21), and knowledge‐based theory (22). Many of the algorithms do not appear to have been implemented in a system intended for everyday clinical use, but three such systems are described in the literature and have been applied in studies comparing automated analysis with manual measurements.…”

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confidence: 99%

A multicenter validation of an active contour-based left ventricular analysis technique

Graves

Berry

Eng

et al. 2000

J. Magn. Reson. Imaging

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Quantitative analysis of functional cardiac magnetic resonance (MR) images has been limited by the lack of well‐validated, semiautomatic, methods for rapid analysis. We describe the evaluation of a DICOM‐compatible PC‐based parallel‐processing tool, for cardiac magnetic resonance analysis (CAMRA), which supports semiautomatic image mensuration using an active contour model‐based algorithm. The CAMRA software was used to analyze data from 12 patients in a multicenter acquisition and analysis trial to compare semiautomatic contour detection with manual planimetry of the left ventricular endocardium from short‐axis, breath‐held, cine gradient‐echo images. There was excellent agreement between the manual and semiautomatic measurements of global left ventricular function, with no significant (P = 0.32) difference in the determination of ejection fraction (−0.9 ± 3.1% [mean difference ± 1 standard deviation]). There was no significant interobserver difference in the semiautomatically measured ejection fraction. Additionally, a single observer completed the analysis on data from 30 patients and found no significant (P = 0.05) difference in the determination of ejection fraction (−1.3 ± 3.5% [mean difference ± 1 standard deviation]). The CAMRA software demonstrates the capability for the reproducible evaluation of global left ventricular function in cardiac patients, with adequate interobserver reproducibility for use in multicenter trials. J. Magn. Reson. Imaging 2000;12:232–239. © 2000 Wiley‐Liss, Inc.

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confidence: 99%

A multicenter validation of an active contour-based left ventricular analysis technique

Graves

Berry

Eng

et al. 2000

J. Magn. Reson. Imaging

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“…To the best of our knowledge, no literature exists on complete segmentation of the papillary muscles in cardiac MR images. Kaushikkar et al [9] describe an adaptive threshold based method for segmentation of the left ventricular blood pool in 2-D shortaxis slices which is able to segment papillary muscles that are completely surrounded by blood. Makowski et al [10] describe an active contour method for extraction of structures in cardiac MR images which again is only capable of extracting papillary muscles that are completely surrounded by blood.…”

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confidence: 99%

Detection of trabeculae and papillary muscles in cardiac MR images

Spreeuwers

Bangma

Meerwaldt

et al. 2005

Computers in Cardiology, 2005

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With the improvement of the quality of MR imagery, more and more details become visible. Only 5-10 years ago cardiac images of the heart were still so unsharp that finer details of the heart like the papillary muscles and the trabeculae were hardly visible and it was simply impossible to determine their outlines with any measure of accuracy. With the improved image quality it becomes feasible to extract information about these small structures. Studying the operation of these tiny muscles can be very useful for further analysis of the heart function and diagnosis of heart diseases. Until now very little literature existed on the study of these structures using cardiac MR, so with this publication we are riding the front of the wave. We conducted two pilot studies to investigate the feasibility of detection of papillary muscles in the left ventricular blood volume and to obtain a measure of the trabeculation of the right ventricle. The latter was also investigated as a diagnostic criterion for Arrhythmogenic Right Ventricular Dysplasia (ARVD).

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“…However, this results in a low contrast‐to‐noise ratio (CNR) causing difficulties for automatic segmentation algorithms. Other possible segmentation tools for quantitative imaging are based on thresholds (14, 15), watershed algorithms (16), live wire techniques (17), or region‐growing algorithms (18, 19).…”

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confidence: 99%

Calibrated magnetic resonance hydrometry: An in vitro study

Heverhagen

Boehm

Klose

2003

Magnetic Resonance Imaging

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Purpose:To demonstrate a quantitative approach to measuring fluid volumes with standard single shot RARE sequences. Materials and Methods:In phantom experiments, magnetic resonance hydrometry (MRH), in combination with various calibration phantoms (5 mL up to 500 mL) as internal standards, was used to quantify fluid volumes. In total, 16 volume phantoms were investigated with six different calibration phantoms. In addition, noise correction was implemented to correct the quantification results and to avoid the influence of random noise in the image.Results: All MR measurements show significant correlations of up to r ϭ 0.99 (P Ͻ .05) with the real applied volume in the investigated phantoms. However, measurements of large volumes were more precise with large calibration phantoms. Noise reduction did not change the correlation between measured and real applied volumes, but did reduce the error of the measured volumes. Calibrated magnetic resonance hydrometry (cMRH) is able to quantify volumes of fluid fast and noninvasively. The volumes of the used calibration phantoms have to be at least in the order of magnitude of the volumes that are to be measured. Conclusion:In vitro, cMRH using a single-shot rapid acquisition with refocused echoes (ssRARE) sequence and calibration phantoms is a fast and accurate method of quantifying steady amounts of fluid.

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Adaptive blood pool segmentation in three‐dimensions: Application to MR cardiac evaluation

Cited by 11 publications

References 7 publications

A multicenter validation of an active contour-based left ventricular analysis technique

A multicenter validation of an active contour-based left ventricular analysis technique

Detection of trabeculae and papillary muscles in cardiac MR images

Calibrated magnetic resonance hydrometry: An in vitro study

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