Ultrasound localization microscopy (ULM) has become a potent technique for microvascular imaging using ultrasound waves. However, one major challenge is the high frame rate and lengthy acquisition time needed to produce super-resolved (SR) images. To overcome this, our goal is to relax the frame rate and shorten this acquisition time while preserving SR image quality, thereby enhancing ULM's clinical applicability. To this end, we propose two distinct strategies: first, we suggest acquiring the data at lower frame rate followed by applying the reconstruction technique to compensate the lost information due to low frame rate imaging. Second, to tackle the prolonged acquisition time, we propose compressing acquisition time by a compression ratio (CR), which can degrade SR image quality due to reduced temporal information. To mitigate this, we temporally upsample the in-phase-quadrature (IQ) data by a factor equal to the CR after compressed acquisition. In addition, we introduce a novel b...
A Novel 2x2D Radial Basis Functions-based Interpolation for Short Acquisition Time and Relaxed Frame Rate Ultrasound Localization Microscopy / Afrakhteh, Sajjad; Tuccio, Giulia; Demi, Libertario. - In: IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL. - ISSN 1525-8955. - 71:12(2024), pp. 1855-1867. [10.1109/tuffc.2024.3515218]
A Novel 2x2D Radial Basis Functions-based Interpolation for Short Acquisition Time and Relaxed Frame Rate Ultrasound Localization Microscopy
Afrakhteh, Sajjad
Primo
;Tuccio, Giulia;Demi, Libertario
2024-01-01
Abstract
Ultrasound localization microscopy (ULM) has become a potent technique for microvascular imaging using ultrasound waves. However, one major challenge is the high frame rate and lengthy acquisition time needed to produce super-resolved (SR) images. To overcome this, our goal is to relax the frame rate and shorten this acquisition time while preserving SR image quality, thereby enhancing ULM's clinical applicability. To this end, we propose two distinct strategies: first, we suggest acquiring the data at lower frame rate followed by applying the reconstruction technique to compensate the lost information due to low frame rate imaging. Second, to tackle the prolonged acquisition time, we propose compressing acquisition time by a compression ratio (CR), which can degrade SR image quality due to reduced temporal information. To mitigate this, we temporally upsample the in-phase-quadrature (IQ) data by a factor equal to the CR after compressed acquisition. In addition, we introduce a novel b...| File | Dimensione | Formato | |
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