Abstract
This research aimed to evaluate the right ventricular segmentation ability of magnetic resonance imaging (MRI) images based on deep learning and evaluate the influence of curcumin (Cur) on the psychological state of patients with pulmonary hypertension (PH). The heart MRI images were detected based on the You Only Look Once (YOLO) algorithm, and then the MRI image right ventricle segmentation algorithm was established based on the convolutional neural network (CNN) algorithm. The segmentation effect of the right ventricle in cardiac MRI images was evaluated regarding intersection-over-union (IOU), Dice coefficient, accuracy, and Jaccard coefficient. 30 cases of PH patients were taken as the research object. According to different treatments, they were rolled into control group (conventional treatment) and Cur group (conventional treatment + Cur), with 15 cases in each group. Changes in the scores of the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) of the two groups of patients before and after treatment were analyzed. It was found that the average IOU of the heart target detection frame of the MRI image and the true bounding box before correction was 0.7023, and the IOU after correction was 0.9016. The Loss of the MRI image processed by the CNN algorithm was 0.05, which was greatly smaller than those processed by other algorithms. The Dice coefficient, Jaccard coefficient, and accuracy of the MRI image processed by CNN were 0.89, 0.881, and 0.994, respectively. The MRI images of PH patients showed that the anterior wall of the right ventricle was notably thickened, and the main pulmonary artery was greatly widened. After treatment, the SAR and SDS scores of the two groups were lower than those before treatment (P < 0.05), and the SAR and SDS scores of the curcumin group were lower than those of the control group (P < 0.05). To sum up, the right ventricular segmentation ability of MRI images based on deep learning was improved, and Cur can remarkably alleviate the psychological state of PH patients, which provided a reference for the diagnosis and treatment for PH patients.
Highlights
Pulmonary hypertension (PH) is a pathophysiological syndrome characterized by increased pulmonary circulatory resistance and pressure, which causes right heart insufficiency and causes premature death of patients [1]
Analysis of Heart Detection Results Based on You Only Look Once (YOLO) Algorithm. e heart detection results before and after correction were analyzed based on the YOLO algorithm (Figure 3(a)). e average IOU of the heart target detection frame and the true bounding box before correction was 0.7023, the IOU after correction was 0.9016, and the average IOU of the heart detection frame after correction was increased by 0.19
E Euclidean distance between the center point based on the YOLO detection result and the true center point of the magnetic resonance imaging (MRI) heart was further calculated (Figure 3(b)), and the Euclidean distance between the two was distributed between 0 and 20 mm, most of which were less than 5 mm. e percentage of center points with Euclidean distance less than 20 mm was calculated, and the Euclidean distance less than 10 mm accounted for 96.4%
Summary
Pulmonary hypertension (PH) is a pathophysiological syndrome characterized by increased pulmonary circulatory resistance and pressure, which causes right heart insufficiency and causes premature death of patients [1]. Curcumin (Cur) reduces aortic pressure and improves left ventricular remodeling by inhibiting Na+-K+ ATPase in improving cardiac function [3]. Used methods for PH detection include chest. X-ray, computed tomography (CT), cardiac magnetic resonance (CMR), right heart catheterization, and lung ventilation and perfusion. E chest X-ray film is affected by breathing during the detection process, and the measurement error is relatively large [4]. Multislice spiral CT is less accurate than MRI in measuring right ventricular ejection fraction [5]. Right heart catheterization is the gold standard for the diagnosis of PH, but it is an invasive examination and has certain risks [6]. Cardiac magnetic resonance imaging (CMRI) can directly assess the volume, shape, and function of the right ventricle and can provide pulmonary hemodynamic parameters in a noninvasive way
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