Microwave imaging via space-time beamforming for early detection of breast cancer
By Essex J. Bond, Xu Li, Susan C. Hagness, Barry D. Van Veen. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
756 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanics of Materials, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/9190daf3952be1b0f47ea05e3423ce97b0fbee54
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Elise C. Fear
- Susan C. Hagness
- Jeff M. Sill
- Ram M. Narayanan
- Ilangko Balasingham
- Huiyuan Zhou
- Rohit Chandra
- Xu Li
In Mechanics of Materials
- Elise C. Fear
- Jeff M. Sill
- Susan C. Hagness
- Ram M. Narayanan
- Ilangko Balasingham
- Huiyuan Zhou
- Rohit Chandra
- Nguyen Duc Thang
In Ocean Engineering
- Susan C. Hagness
- Elise C. Fear
- Jeff M. Sill
- Xu Li
- Barry D. Van Veen
- Essex J. Bond
- Ram M. Narayanan
- Ilangko Balasingham
Citations in the corpus
- On the Opportunities and Challenges in Microwave Medical Sensing and Imaging (2015, methodology): “Qualitative (see Section III-B) Strong scatterer detection using radar techniques Confocal imaging [3] Tissue sensing adaptive radar [63] Space-time beamforming [62] Avoids inverse problem, computationally very less demanding Detection challenging in low contrast UWB Image of backscattered energy”
- Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results (2009, methodology): “These well-known limitations have been addressed by techniques such as microwave imaging via space-time (MIST)—this data-independent algorithm was shown in [10], [18] to outperform mono-static DAS, although multi-static DAS still outperforms mono-static MIST [19].”
- Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models (2005, methodology): “Radar-based imaging systems include microwave imaging viaspace time (MIST) beamforming [11,12] and tissue sensing adaptive radar (TSAR) [13,14].”
- An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection (2005, methodology): “capability for discriminating against 'Clutter caused by breast-tissue heterogeneity and noise [6, 7 ].”
- ANALYSIS OF VITAL SIGNS MONITORING USING AN IR-UWB RADAR (2010, background): “Impulse Radio (IR) is a type of UWB signalling which uses very short baseband pulses, typically in the order of a nanosecond, which has also been proposed in health applications such as the ones presented in [6–9].”
- Confocal Microwave Imaging for Breast Cancer Detection: Delay-Multiply-and-Sum Image Reconstruction Algorithm (2008, methodology): “An alternative CMI technique, termed as microwave imaging via space–time (MIST) beamforming [11], uses filters that compensate for dispersion and other limitations of the earlier DAS algorithm.”
- Numerical and experimental investigation of an ultrawideband ridged pyramidal horn antenna with curved launching plane for pulse radiation (2003, background): “Digital Object Identifier 10.1109/LAWP.2003.820708 Our investigation of pulse-radiating antennas has been primarily motivated by our ongoing work on space–time microwave imaging for breast cancer detection [1].”