ArticleSensors (Basel, Switzerland)2017
Surface Estimation for Microwave Imaging.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- Microwave Breast Imaging System Modules, Enhancing Scan Quality and Reliability of Diagnostic Outputs During Clinical Testing.Bioengineering (Basel, Switzerland) · 2025Article
- Review of Microwave Near-Field Sensing and Imaging Devices in Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- Body Boundary Measurement Using Multiple Line Lasers for a Focused Microwave Thermotherapy System: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2023Article
- Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing.Sensors (Basel, Switzerland) · 2023Review
- Radiation-Free Microwave Technology for Breast Lesion Detection Using Supervised Machine Learning Model.Tomography (Ann Arbor, Mich.) · 2023Article
- Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data.Diagnostics (Basel, Switzerland) · 2021Article
- Evaluating Performance of Microwave Image Reconstruction Algorithms: Extracting Tissue Types with Segmentation Using Machine Learning.Journal of imaging · 2021Article
- Review of Microwaves Techniques for Breast Cancer Detection.Sensors (Basel, Switzerland) · 2020Review
- Breast Cancer Detection-A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging.Diagnostics (Basel, Switzerland) · 2020Review
- Three-Dimensional Electromagnetic Torso Scanner.Sensors (Basel, Switzerland) · 2019Article
- Adaptive Monostatic System for Measuring Microwave Reflections from the Breast.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomedical imaging and sensing applications in many scenarios demand accurate surface estimation from a sparse set of noisy measurements. These measurements may arise from a variety of sensing modalities, including laser or electromagnetic samples of an object's surface. We describe a state-of-the-art microwave imaging prototype that has sensors to acquire both microwave and laser measurements. The approach developed to translate sparse samples of the breast surface into an accurate estimate of the region of interest is detailed. To evaluate the efficacy of the method, laser and electromagnetic samples are acquired by sensors from three realistic breast models with varying sizes and shapes. A set of metrics is developed to assist with the investigation and demonstrate that the algorithm is able to accurately estimate the shape of a realistic breast phantom when only a sparse set of data are available. Moreover, the algorithm is robust to the presence of measurement noise, and is effective when applied to measurement scans of patients acquired with the prototype.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.