Year: 2024
Type: conference-paper
Abstract: This paper presents a novel, computationally efficient GPU-Based decoding method for Coded Synthetic Transmit Aperture ultrasound imaging using Complete Complementary Codes. The proposed method dramatically reduces the computational complexity typically associated with decoding CCC-encoded signals, which conventionally requires N2correlation operations for an array with N elements. By exploiting the structure of the CCC encoding matrix, our method reduces the number of required operations to just 2N. We conducted simulations using 128-element and 256-element linear arrays to compare the proposed method with the conventional decoding approach. For a 128-element array, the proposed method reduced decoding time from 17.03 seconds to 0.063 seconds. The proposed approach offers a significant reduction in computational time, making it highly suitable for real-time ultrasound imaging and other applications requiring fast, efficient decoding of CCC signals
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4405517638