Kurrant, DouglasBourqui, JeremieFear, Elise2018-02-092018-02-092017-07-19Kurrant, D., Bourqui, J., & Fear, E. (2017). Surface estimation for microwave imaging. Sensors, 17(7), 1658.http://hdl.handle.net/1880/10639310.11575/PRISM/46011Biomedical 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.enUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.https://creativecommons.org/licenses/by/4.0surface reconstruction, microwave breast imaging, performance metrics, radarmicrowave breast imagingperformance metricsradarjournal articlehttp://dx.doi.org/10.3390/s17071658