Role of Myocardial Deformation to Improve Assessment of Regional and Global Function in Non-Isolated Non-Compaction Cardiomyopathy: New Insights in Cardiac Mechanics

Evaluation of Cardiac Mitochondrial Function by a Nuclear Imaging Technique using Technetium-99m-MIBI Uptake Kinetics

Mitochondria play an important role in energy production for the cell. The proper function of a myocardial cell largely depends on the functional capacity of the mitochondria.  Therefore it is necessary to establish a novel and reliable method for a non-invasive assessment of mitochondrial function and metabolism in humans. Although originally designed for evaluating myocardial perfusion, 99mTc...

Regional Myocardial Deformation in Adult Patients with Isolated Left Ventricular Non- compaction Cardiomyopathy

Right Ventricular Non-Compaction Cardiomyopathy in Children: Brief Review Literature

      Right ventricular non-compaction cardiomyopathy (RVNC) is a genetic heterogeneous cardiomyopathy. Despite the increasing number of RVNC cases, the classification and natural history of this disorder are not completely clear. Also, because the pathogenic non-compaction cannot be easily differentiated from normal trabeculations, it is usually hard to accurately measure the prevalence of RV ...

سری موارد کاردیومیوپاتی Non compaction ایزوله بطن چپ

Isolated non compaction of left ventricular myocardium is a rare cardiomyopathy due to abnormalendomyocardialmorphogenesis. The incidence of non compaction cardiomyopathy in the general population has been estimated at 0.05% to 0.25% per year. NCCMP is a heart muscle disorder that is still little known among physicians and was first described in 1984 by engberding and bender. Echocardiograph...

Myocardial fibrosis delineation in late gadolinium enhancement images of Hypertrophic Cardiomyopathy patients using deep learning methods

Introduction: Accurate delineation of myocardial fibrosis in Late Gadolinium Enhancement on Cardiac Magnetic Resonance (LGE-CMR) has a crucial role in the assessment and risk stratification of HCM patients. As this is time-consuming and requires expertise, automation can be essential in accelerating this process. This study aims to use Unet-based deep learning methods to automate the mentioned ...