Nakagami– m Parametric Imaging for Atherosclerotic Plaque Characterization Using the Coarse-to-Fine Method

Nakagami Parametric Imaging Based on the Multi-pyramid Coarse-to-Fine Bowman Iteration (MCB) Method

“…Han et al [9] proposed Nakagami imaging based on single Gaussian pyramid decomposition, and verified that it was better than the MBE method in m parameter estimation. However, they used a fixed sliding window, and the window size needs to be adjusted to the size of the detection target.…”

“…Tsui et al [8] proposed the windowmodulated compounding (WMC) Nakagami imaging for ultrasound tissue characterization, which improved the image smoothness. The coarse-to-fine Bowman iteration method (CTF-BOW) was used by Han et al [9] for plaque characterization, which provided better accuracy of parameter estimation and image smoothness compared with traditional method [10].…”

Methods for Improved Efficacy in Segmentation and Tracking of Echocardiographic Images

“…Although using these distributions will help significantly to improve the segmentation results, they are computationally expensive, making them inappropriate for real-time segmentation methods [13,14,15]. However, a two-parameter distribution that can describe ultrasound, called a Nakagami distribution, is frequently adopted in the context of tissue characterization because of its simplicity and low computational complexity.…”

Hepatic Steatosis Assessment Using Quantitative Ultrasound Parametric Imaging Based on Backscatter Envelope Statistics

“…Because of its low computational complexity, the Nakagami distribution has become the most widely used statistical model in the field of medical ultrasound; typical applications of Nakagami model have been summarized by Tsui et al [30]. The estimation methods of Nakagami m parameter mainly include moment-based estimators [19,31,32] and maximum likelihood estimators [30,32,33]. It should be noted that window-modulated compounding (WMC) Nakagami imaging was proposed by Tsui et al [34] for simultaneous improvement of image resolution and smoothness of Nakagami images.…”