Radiomics, a medical imaging technique, extracts quantitative handcrafted features from images to predict diseases. Harmonization in those features ensures consistent feature extraction across ...various imaging devices and protocols. Methods for harmonization include standardized imaging protocols, statistical adjustments, and evaluating feature robustness. Myocardial diseases such as Left Ventricular Hypertrophy (LVH) and Hypertensive Heart Disease (HHD) are diagnosed via echocardiography, but variable imaging settings pose challenges. Harmonization techniques are crucial for applying handcrafted features in disease diagnosis in such scenario. Self-supervised learning (SSL) enhances data understanding within limited datasets and adapts to diverse data settings. ConvNeXt-V2 integrates convolutional layers into SSL, displaying superior performance in various tasks. This study focuses on convolutional filters within SSL, using them as preprocessing to convert images into feature maps for handcrafted feature harmonization. Our proposed method excelled in harmonization evaluation and exhibited superior LVH classification performance compared to existing methods.
In echocardiographic view classification, accurately detecting out-of-distribution (OOD) data is essential but challenging, especially given the subtle differences between in-distribution and OOD ...data. While conventional OOD detection methods, such as Mahalanobis distance (MD) are effective in far-OOD scenarios with clear distinctions between distributions, they struggle to discern the less obvious variations characteristic of echocardiographic data. In this study, we introduce a novel use of label smoothing to enhance semantic feature representation in echocardiographic images, demonstrating that these enriched semantic features are key for significantly improving near-OOD instance detection. By combining label smoothing with MD-based OOD detection, we establish a new benchmark for accuracy in echocardiographic OOD detection.
Stress-induced cardiomyopathy is characterized by reversible systolic dysfunction of the ventricles, usually involving
the apical segments. It occurs more commonly in women and is frequently ...precipitated by emotional or physical
stressors. Ever since the first report of typical stress-induced cardiomyopathy-usually known as Takotsubo
cardiomyopathy or transient left ventricular apical ballooning syndrome-was issued, variant forms of stress-induced
cardiomyopathy have been reported. We describe a patient who presented with typical ischemic chest pain, but
who was found to have an atypical form of stress-induced cardiomyopathy: midventricular ballooning syndrome
involving both the left and right ventricles. Transthoracic echocardiography and computed tomography were
used in this patient. KCI Citation Count: 3
PDF
