ArticleDiagnostics (Basel, Switzerland)2020
The Application of an Iterative Structure to the Delay-and-Sum and the Delay-Multiply-and-Sum Beamformers in Breast Microwave Imaging.
Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges.Biosensors · 2024Review
- Microwave Breast Sensing via Deep Learning for Tumor Spatial Localization by Probability Maps.Bioengineering (Basel, Switzerland) · 2023Article
- Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing.Sensors (Basel, Switzerland) · 2023Review
- Evaluating the Performance of Algorithms in Axillary Microwave Imaging towards Improved Breast Cancer Staging.Sensors (Basel, Switzerland) · 2023Article
- An Optimization-Based Approach to Radar Image Reconstruction in Breast Microwave Sensing.Sensors (Basel, Switzerland) · 2021Article
- Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies.Sensors (Basel, Switzerland) · 2021Article
- Microwave Breast Imaging Using Compressed Sensing Approach of Iteratively Corrected Delay Multiply and Sum Beamforming.Diagnostics (Basel, Switzerland) · 2021Article
- A Simulation-Based Methodology of Developing 3D Printed Anthropomorphic Phantoms for Microwave Imaging Systems.Diagnostics (Basel, Switzerland) · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
Breast microwave imaging (BMI) is a potential breast cancer screening method. This manuscript presents a novel iterative delay-and-sum (DAS) based reconstruction algorithm for BMI. This iterative-DAS (itDAS) algorithm uses a forward radar model to iteratively update an image estimate. A variation of the itDAS reconstruction algorithm that uses the delay-multiply-and-sum (DMAS) beamformer was also implemented (the itDMAS algorithm). Both algorithms were used to reconstruct images from experimental scans of an array of 3D-printed MRI-based breast phantoms performed with a clinical BMI system. The signal-to-clutter ratio (SCR) and signal-to-mean ratio (SMR) were used to compare the performance of the itDAS and itDMAS methods to the DAS and DMAS beamformers. While no significant difference between the itDAS and itDMAS methods was observed in most images, the itDAS algorithm produced reconstructions that had significantly higher SMR than the non-iterative methods, increasing contrast by as much as 19 dB over DAS and 13 dB over DMAS. The itDAS algorithm also increased the SCR of reconstructions by up to 5 dB over DAS and 4 dB over DMAS, indicating that both high-intensity and background clutter are reduced in images reconstructed by the itDAS algorithm.
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