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Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
Published on: June 2, 2010
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Clutter filtering of angular domain data for contrast-free ultrafast microvascular imaging
Liyuan Jiang1, Hanbing Chu1, Jianjun Yu1
1The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
Physics in Medicine and Biology
|December 2, 2023
Summary
New filters, grouped angle SVD (GA-SVD) and angular-coherence-based higher-order SVD (AC-HOSVD), improve contrast-free microvascular imaging in short ensembles. AC-HOSVD offers superior clutter rejection and signal-to-noise ratio, enhancing visualization for disease diagnosis.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Biomedical Engineering
Background:
- Contrast-free microvascular imaging is crucial for assessing physiological status and early disease detection.
- Effective clutter filtering is essential for visualizing microvasculature without contrast agents.
- Traditional Singular Value Decomposition (SVD) filters struggle with short-ensemble data common in real-time clinical imaging due to estimation errors and threshold dependency.
Purpose of the Study:
- To develop and evaluate novel filters for improved clutter rejection in contrast-free microvascular imaging using short ensembles.
- To address the limitations of existing SVD-based filters in real-time clinical scenarios.
Main Methods:
- Proposed two optimized filters: Grouped Angle SVD (GA-SVD) and Angular-Coherence-based Higher-Order SVD (AC-HOSVD).
- GA-SVD applies SVD to concatenated angular data for enhanced clutter rejection in short ensembles.
- AC-HOSVD utilizes Higher-Order SVD (HOSVD) on angular data tensors, incorporating angular coherence with spatial and temporal features for filtering.
- Evaluated filter performance using Doppler phantom and in vivo studies, assessing robustness to threshold errors and computational complexity.
Main Results:
- Both GA-SVD and AC-HOSVD demonstrated effective clutter rejection in short ensembles, with AC-HOSVD showing superior performance.
- The proposed methods achieved image quality comparable to traditional SVD using significantly fewer frames (20 vs. 100).
- In vivo studies showed average SNR increases of 6.03 dB for GA-SVD and 8.93 dB for AC-HOSVD compared to SVD.
- AC-HOSVD maintained better image quality under non-optimal thresholds, followed by GA-SVD.
Conclusions:
- GA-SVD and AC-HOSVD significantly enhance contrast-free microvascular visualization in short ensembles.
- AC-HOSVD offers superior performance, particularly in terms of clutter rejection and robustness to threshold variations.
- These advanced filtering techniques hold potential for diverse clinical applications, improving diagnostic capabilities.
