Publications by authors named "Aashish Goela"

A 61-year-old male presented with symptoms of decompensated heart failure and cardiogenic shock. Transthoracic and transesophageal echocardiography showed severely impaired left ventricular (LV) systolic function (LVEF of 20-25%), bicuspid aortic valve with moderate aortic insufficiency and no significant stenosis, dilated coronary sinus and a tortuous vascular structure in the left-sided atrioventricular groove. Cardiac computed tomography confirmed the diagnosis of persistent left superior vena cava and a giant coronary artery fistula to the coronary sinus.

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The management of patients with dilated cardiomyopathy and large anterior ventricular aneurysm presenting with ventricular tachycardia is not well-described. We report the case of 45-year-old male who presented with recurrent episodes of prolonged polymorphic ventricular tachycardia and previously failed medical management and endocardial and epicardial transcatheter ablation. We performed a Dor procedure to exclude the left ventricular aneurysm in conjunction with cryoablation to terminate his ventricular tachycardia.

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The segmentation of the kidney tumor and the quantification of its tumor indices (i.e., the center point coordinates, diameter, circumference, and cross-sectional area of the tumor) are important steps in tumor therapy.

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Objective: This study investigates the estimation of three dimensional (3D) left ventricular (LV) motion using the fusion of different two dimensional (2D) cine magnetic resonance (CMR) sequences acquired during routine imaging sessions. Although standard clinical cine CMR data is inherently 2D, the actual underlying LV dynamics lies in 3D space and cannot be captured entirely using single 2D CMR image sequences. By utilizing the image information from various short-axis and long-axis image sequences, the proposed method intends to estimate the dynamic state vectors consisting of the position and velocity information of the myocardial borders in 3D space.

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We present two cases where fractional flow reserve (FFR) was utilised to guide management of coronary artery fistula (CAF), an approach advocated in recent case studies. CAF is a coronary anomaly that may present with a variety of syndromes though is frequently asymptomatic. When to exclude the fistula (surgically or percutaneously) is not always clear.

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Unlabelled: Anatomical cine cardiovascular magnetic resonance (CMR) imaging is widely used to assess the systolic cardiac function because of its high soft tissue contrast. Assessment of diastolic LV function has not regularly been performed due the complex and time consuming procedures. This study presents a semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images.

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Transcatheter aortic valve implantation (TAVI) in the presence of a mechanical mitral valve (MMV) prosthesis is still challenging because of the rigid mitral frame within the aortomitral curtain. Moreover, low-lying coronary ostia represent a hazardous problem of coronary obstruction, especially in narrow or porcelain aortic roots. The present case demonstrates the successful management of 2 challenging anatomical issues, the rigid cage of the MMV and the low-lying left main coronary ostium (LMCO), with the implantation of the ACURATE-TA bioprosthesis (Symetis SA, Ecublens, Switzerland).

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Transcatheter treatment of patients with degenerated aortic valve stentless prosthesis and low proximal coronary ostia to the aortic annulus remain a challenge because of the elevated risk for coronary obstruction. Newer generation transcatheter aortic valve devices that engage and pull the aortic valve calcium towards the aortic annulus may be beneficial in these patients. We present a case of successful treatment of a degenerated tubular stentless prosthesis with low coronary ostia with a Symetis Acurate TA prosthesis.

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Minimally invasive valvular intervention commonly requires intra-procedural navigation to provide spatial and temporal information of relevant cardiac structures and device components. Recently intra-procedural trans-esophageal echocardiography (TEE) has been exploited for this purpose due to its accessibility, low cost, ease of use, and real-time imaging capacity. However, the position and orientation of tissue targets relative to surgical tools can be challenging to perceive, particularly using 2D imaging planes.

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Caseous mitral annulus calcification involving aortomitral curtain is a rare occurrence. We report a case of a 64-year-old woman with end-stage renal failure and a candidate for renal transplant who presented with late ST-elevation myocardial infarction. Intracoronary imaging, computed tomography cardiac imaging, and histopathology confirmed coronary embolus into the left main stem artery from an extensive caseous mitral annulus calcification.

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Objective: Robotic-assisted endoscopic single-vessel small thoracotomy allows clinicians to perform coronary artery bypass grafting surgery in a minimally invasive manner using the da Vinci Surgical System. Not all patients are suitable for this technique, and the lack of an appropriate method for patient eligibility avoids completion of the procedure robotically. The objective of this study was to develop a patient eligibility method based on the anatomy of the chest of the patient.

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Background: Left ventricular (LV) and right ventricular pacing site characteristics have been shown to influence response to cardiac resynchronization therapy (CRT). This study aimed to determine the clinical feasibility of image-guided lead delivery using a 3-dimensional navigational model displaying both LV and right ventricular (RV) pacing targets. Serial echocardiographic measures of clinical response and procedural metrics were evaluated.

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The hip joint is one of the most frequent sites of osteoarthritis. Advances in diagnosis and clinical treatment have progressed dramatically in the last few decades; however, there are limitations associated with the lack of reliable measures for quantifying hip joint morphology. Current diagnostic measures of the hip are performed with pre-determined measures, typically lengths and angles, on 2D radiographic planes.

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Accurate estimation of the ventricular volumes is essential to the assessment of global cardiac functions. The existing estimation methods are mostly restricted to the left ventricle (LV), and often require segmentation which is challenging and computationally expensive. This paper proposes to estimate the volumes of both LV and right ventricle (RV) jointly with an efficient segmentation-free method.

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Automating the detection and localization of segmental (regional) left ventricle (LV) abnormalities in magnetic resonance imaging (MRI) has recently sparked an impressive research effort, with promising performances and a breadth of techniques. However, despite such an effort, the problem is still acknowledged to be challenging, with much room for improvements in regard to accuracy. Furthermore, most of the existing techniques are labor intensive, requiring delineations of the endo- and/or epi-cardial boundaries in all frames of a cardiac sequence.

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A fundamental step in the diagnosis of cardiovascular diseases, automatic left ventricle (LV) segmentation in cardiac magnetic resonance images (MRIs) is still acknowledged to be a difficult problem. Most of the existing algorithms require either extensive training or intensive user inputs. This study investigates fast detection of the left ventricle (LV) endo- and epicardium surfaces in cardiac MRI via convex relaxation and distribution matching.

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Background: Transmural scar occupying left ventricular (LV) pacing regions has been associated with reduced response to cardiac resynchronization therapy (CRT). However, spatial influences of lead tip delivery relative to scar at both pacing sites remain poorly explored. This study evaluated scar distribution relative to LV and right ventricular (RV) lead tip placement through coregistration of late gadolinium enhancement MRI and cardiac computed tomographic (CT) findings.

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Tracking regional heart motion and detecting the corresponding abnormalities play an essential role in the diagnosis of cardiovascular diseases. Based on functional images, which are subject to noise and segmentation/registration inaccuracies, regional heart motion analysis is acknowledged as a difficult problem and, therefore, incorporation of prior knowledge is desirable to enhance accuracy. Given noisy data and a nonlinear dynamic model to describe myocardial motion, an unscented Kalman smoother is proposed in this study to estimate the myocardial points.

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The cardiac ejection fraction (EF) depends on the volume variation of the left ventricle (LV) cavity during a cardiac cycle, and is an essential measure in the diagnosis of cardiovascular diseases. It is often estimated via manual segmentation of several images in a cardiac sequence, which is prohibitively time consuming, or via automatic segmentation, which is a challenging and computationally expensive task that may result in high estimation errors. In this study, we propose to estimate the EF in real-time directly from image statistics using machine learning technique.

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This study investigates regional heart motion abnormality detection via multiview fusion in cine cardiac MR images. In contrast to previous methods which rely only on short-axis image sequences, the proposed approach exploits the information from several other long-axis image sequences, namely, 2-chamber, 3-chamber and 4-chamber MR images. Our analysis follows the standard issued by American Heart Association to identify 17 standardized left ventricular segments.

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