Ultrasound imaging is useful in the diagnosis of various diseases as it provides real-time visualization of blood vessels and tissues. Using contrast agents enhances capability by allowing for a detailed assessment of vascular structures which is helpful in clinical studies. The traditional ultrasound has the limitation of the diffraction limit. Super-Resolution Ultrasound (SRUS) helps address the issue of balancing the resolution and diffraction limit. The effects of several parameters, such as the Number of Particles per Frame, the maximum linking distance, the number of local maxima, and the cutoff for singular value decomposition, will be investigated in this work. Our goal in examining these characteristics is to determine their influence on SRUS performance. Moreover, the aim is to enhance the accuracy, reduce noise, and improve the overall quality ultimately leading to a better understanding of microvascular structure.