Steven Schmidt
Wayne State University
26 Papers
138 Citations
Steven Schmidt is an academic researcher from Wayne State University. The author has contributed to research in topics: Breast imaging & Ultrasound Tomography. The author has an hindex of 13, co-authored 26 publications.
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Papers
In-vivo imaging results with ultrasound tomography: Report on an ongoing study at the Karmanos Cancer Institute
Nebojsa Duric,Peter Littrup,Priti Chandiwala-Mody,Cuiping Li,Steven Schmidt,Lukasz Myc,Olsi Rama,Lisa Bey-Knight,Jessica Lupinacci,Bryan J. Ranger,Amy Szczepanski,Erik West +11 more
TL;DR: The preliminary results indicate that operator-independent whole-breast imaging and the detection and characterization of cancerous breast masses are feasible using acoustic tomography techniques and suggest the development of a formal predictive model is warranted.
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Modification of Kirchhoff migration with variable sound speed and attenuation for acoustic imaging of media and application to tomographic imaging of the breast.
TL;DR: The authors show that in the context of ultrasound tomography, it is possible to construct reflection images of the breast that correct for inhomogeneous distributions of both sound speed and attenuation.
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Breast ultrasound tomography: Bridging the gap to clinical practice
Neb Duric,Peter Littrup,Cuiping Li,Olivier Roy,Steven Schmidt,Roman Janer,Xiaoyang Cheng,Jefferey Goll,Olsi Rama,Lisa Bey-Knight,William Greenway +10 more
TL;DR: The feasibility of UST established by earlier work and that of other groups, forms the rationale for developing a UST system that has the potential to become a practical, low-cost device for breast cancer screening and diagnosis.
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Toward a practical ultrasound waveform tomography algorithm for improving breast imaging
TL;DR: This study implements a frequency domain waveform tomography algorithm on GPUs with the goal of producing high-accuracy and high-resolution breast images on clinically relevant time scales and presents some simulation results and assess the resolution and accuracy of the wave form tomography algorithms based on the simulation data.
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Detection and characterization of breast masses with ultrasound tomography: clinical results
Neb Duric,Peter Littrup,Cuiping Li,Olsi Rama,R N Lisa Bey-Knight,Steven Schmidt,Jessica Lupinacci +6 more
TL;DR: Initial results indicate that operatorindependent whole-breast imaging and the detection and a characterization of cancerous breast masses are feasible using acoustic tomography techniques.
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