Objective. To assess the diagnostic value and clinical performance of cardiac ultrasound in patients with chronic heart failure and hypertension. Methods. In this prospective study, between August 2017 and January 2020, 50 patients with chronic heart failure and hypertension were recruited and assigned to the study group and 50 healthy individuals during the same period after physical examinations were included in the control group. Cardiac ultrasound examinations were performed on the participants, and the results were compared and analyzed. Results. The study group had a higher left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), left ventricular ejection fraction (LVEF), and late diastolic peak flow velocity (A wave) and showed lower early diastolic peak flow velocity (E wave) and late diastolic peak flow velocity/lower early diastolic peak flow velocity (E/A) ratio levels than in the control group. The study group had 15 patients with grade I cardiac function (ultrasound detection rate of 100%), 18 patients with grade II cardiac function (ultrasound detection rate of 100%), and 17 patients with grade III cardiac function (ultrasound detection rate of 100%). Grade I cardiac function patients showed the lowest LVEDD, LVESD, and E/A and the highest LVEF than grade II patients, followed by grade III patients. The study group showed higher LVEF and echocardiographic estimation of the pulmonary arterial systolic pressure (PASP) and lower right ventricular lateral wall systolic excursion velocity and tricuspid annular plane systolic excursion (TAPSE) than the control group. Chronic heart failure with hypertension was associated with high levels of right atrial total emptying volume (RAVIt), right atrial passive emptying volume (RAVIp), right atrial active emptying volume (RAVIa), and right atrial active emptying fraction (RAVIaEF) and low levels of right atrial total emptying fraction (RAVItEF) and right atrial passive emptying fraction (RAVIpEF) versus the healthy status (all P < 0.05). Conclusion. Cardiac ultrasound is a noninvasive operation with low cost, high repeatability, and accurate detection, which can identify right heart function impairment at an early stage, assist clinical treatment, and improve patient prognosis, so it is worthy of promotion and application.

The purpose of this research is to study the application effect of Lucas–Kanade algorithm in right ventricular color Doppler ultrasound feature point extraction and motion tracking under the condition of scale invariant feature transform (SIFT). This study took the right ventricle as an example to analyze the extraction effect and calculation rate of SIFT algorithm and improved Lucas–Kanade algorithm. It was found that the calculation time before and after noise removal by the SIFT algorithm was 0.49 s and 0.46 s, respectively, and the number of extracted feature points was 703 and 698, respectively. The number of feature points extracted by the SIFT algorithm and the calculation time were significantly better than those of other algorithms ( P < 0.01 ). The mean logarithm of the matching points of the SIFT algorithm for order matching and reverse order matching was 20.54 and 20.46, respectively. The calculation time and the number of feature points for the SIFT speckle tracking method were 1198.85 s and 81, respectively, and those of the optical flow method were 3274.19 s and 80, respectively. The calculation time of the SIFT speckle tracking method was significantly lower than that of the optical flow method ( P < 0.05 ), and there was no statistical difference in the number of feature points between the SIFT speckle tracking method and the optical flow method ( P > 0.05 ). In conclusion, the improved Lucas–Kanade algorithm based on SIFT significantly improves the accuracy of feature extraction and motion tracking of color Doppler ultrasound, which shows the value of the algorithm in the clinical application of color Doppler ultrasound.

No abstract