A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI

Tsaftaris, Sotirios A.; Andermatt, V.; Schlegel, Alexander; Katsaggelos, A.K.; Li, D.; Dharmakumar, Rohan

doi:10.1109/icip.2008.4712421

Cited by 9 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Endocardial and epicardial borders were manually traced for an image in systole and the RV groove was manually identified. The borders were propagated (tracked) automatically in all images of the cardiac cycle using a myocardial border tracking method 24 . Subsequently, the myocardium was further segmented automatically into 6 segments per image according to standard practice 25 .…”

Section: Methodsmentioning

confidence: 99%

Detecting Myocardial Ischemia at Rest With Cardiac Phase–Resolved Blood Oxygen Level–Dependent Cardiovascular Magnetic Resonance

Tsaftaris

Zhou

Tang

et al. 2013

Circ: Cardiovascular Imaging

View full text Add to dashboard Cite

Background Fast, noninvasive identification of ischemic territories at rest (prior to tissue-specific changes) and assessment of functional status can be valuable in the management of severe coronary artery disease. This study investigated the utility of cardiac phase-resolved Blood-Oxygen-Level-Dependent (CP-BOLD) CMR in detecting myocardial ischemia at rest secondary to severe coronary artery stenosis. Methods and Results CP-BOLD, standard-cine, and T2-weighted images were acquired in canines (n=11) at baseline and within 20 minutes of ischemia induction (severe LAD stenosis) at rest. Following 3-hours of ischemia, LAD stenosis was removed and T2-weighted and late-gadolinium-enhancement (LGE) images were acquired. From standard-cine and CP-BOLD images, End-Systolic (ES) and End-Diastolic (ED) myocardium were segmented. Affected and remote sections of the myocardium were identified from post-reperfusion LGE images. S/D, quotient of mean ES and ED signal intensities (on CP-BOLD and standard-cine), was computed for affected and remote segments at baseline and ischemia. Ejection fraction (EF) and segmental wall-thickening (sWT) were derived from CP-BOLD images at baseline and ischemia. On CP-BOLD images: S/D was greater than 1 (remote and affected territories) at baseline; S/D was diminished only in affected territories during ischemia and the findings were statistically significant (ANOVA, post-hoc p<0.01). The dependence of S/D on ischemia was not observed in standard-cine images. Computer simulations confirmed the experimental findings. ROC analysis showed that S/D identifies affected regions with similar performance (AUC:0.87) as EF (AUC:0.89) and sWT (AUC:0.75). Conclusions Preclinical studies and computer simulations showed that CP-BOLD CMR could be useful in detecting myocardial ischemia at rest. Patient studies are needed for clinical translation.

show abstract

Section: Methodsmentioning

confidence: 99%

Detecting Myocardial Ischemia at Rest With Cardiac Phase–Resolved Blood Oxygen Level–Dependent Cardiovascular Magnetic Resonance

Tsaftaris

Zhou

Tang

et al. 2013

Circ: Cardiovascular Imaging

View full text Add to dashboard Cite

show abstract

“…2, block A). For each subject k out of total K , endo- and epicardial boundaries are manually traced in one image (in systole) and propagated automatically to all images of the cardiac cycle [32]. Subsequently, the myocardium is further segmented automatically into j = 1 , … , J segments/image.…”

Section: Methodsmentioning

confidence: 99%

Synthetic Generation of Myocardial Blood–Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling

Rusu

Morisi

Boschetto

et al. 2014

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

This paper aims to identify approaches that generate appropriate synthetic data (computer generated) for Cardiac Phase-resolved Blood-Oxygen-Level-Dependent (CP–BOLD) MRI. CP–BOLD MRI is a new contrast agent- and stress-free approach for examining changes in myocardial oxygenation in response to coronary artery disease. However, since signal intensity changes are subtle, rapid visualization is not possible with the naked eye. Quantifying and visualizing the extent of disease relies on myocardial segmentation and registration to isolate the myocardium and establish temporal correspondences and ischemia detection algorithms to identify temporal differences in BOLD signal intensity patterns. If transmurality of the defect is of interest pixel-level analysis is necessary and thus a higher precision in registration is required. Such precision is currently not available affecting the design and performance of the ischemia detection algorithms. In this work, to enable algorithmic developments of ischemia detection irrespective to registration accuracy, we propose an approach that generates synthetic pixel-level myocardial time series. We do this by (a) modeling the temporal changes in BOLD signal intensity based on sparse multi-component dictionary learning, whereby segmentally derived myocardial time series are extracted from canine experimental data to learn the model; and (b) demonstrating the resemblance between real and synthetic time series for validation purposes. We envision that the proposed approach has the capacity to accelerate development of tools for ischemia detection while markedly reducing experimental costs so that cardiac BOLD MRI can be rapidly translated into the clinical arena for the noninvasive assessment of ischemic heart disease.

show abstract

“…Tactics with fragile or no earlier awareness, such level sets [33], Active contour model [34], iterative threshold-decreasing region growth [35] or multi seed region growth [36], and dynamic programming [37], naturally necessitate manual credentials of the basal slices. In count, methodologies using long and short axis images correspondingly requisite labor-intensive involvement [38][39][40] to choice the spots of the apex and mitral valves plus the curve of long axis. Effusively instinctive LV dissection has been challenging to succeed in rehearsal.…”

Section: Related Workmentioning

confidence: 99%

Inevitable dissection of left ventricle aimed at discovery of cardiac blood flow appraisal

Inbalatha¹,

Kalaivani²

2017

IJET

View full text Add to dashboard Cite

Cardiac Magnetic Resonance Images (MRI) are chastely indispensable implement for truthful demarcation of the left Ventricle myocardium for purposeful and serviceable cardiac examination. Dissection of MRI principally the leftward ventricle (LV) is a blistering focus with extraordinary perplexing owed to deceive delineation such as percentages misalignment in its position, in homogeneity of sequential portions and to clinch divergence in focus of adjoining pixels for the change in the body fluid drift. In this effort, we put forward a scheme to inevitably fragment the leftward Ventricle of MRI images by Round Hough Transform (RHT) initially by locating the seed point stalked a circle with apt radius as basal region and verdict the ROI in the image. Adjoining the center, apex region of the left ventricle is positioned till the extent and shape connection obsolete plus the mid region from the intermediate ventricle to the base up to the myocardial fringe. This same images of 21 subjects are compared with the manual delineation method by locating the center manually. Mean and Standard deviation is calculated for the basal, mid and apex regions of the LV for auto and manual segmentation. Bland –Altman investigation is performed for End Diastolic Measurements in volume (EDV) with the existing investigations and found to be more close to the ground truth results and superior than the previously enduring methods. To conclude the projected segmentation process truthfully locates and segments the LV which trials the one hundredth of blood pour. EDV measurements are established with less computational time to find the patient’s heart failure with myocardial Infarction.Objective: To spot the cardiac maladies triggered owed to stumbling block of blood by dissection of left Ventricle with MRI image.

show abstract

A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI

Cited by 9 publications

References 16 publications

Detecting Myocardial Ischemia at Rest With Cardiac Phase–Resolved Blood Oxygen Level–Dependent Cardiovascular Magnetic Resonance

Detecting Myocardial Ischemia at Rest With Cardiac Phase–Resolved Blood Oxygen Level–Dependent Cardiovascular Magnetic Resonance

Synthetic Generation of Myocardial Blood–Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling

Inevitable dissection of left ventricle aimed at discovery of cardiac blood flow appraisal

Contact Info

Product

Resources

About