Erik West
University of Michigan
13 Papers
73 Citations
Erik West is an academic researcher from University of Michigan. The author has contributed to research in topics: Breast imaging & Tomography. The author has an hindex of 8, co-authored 13 publications. Previous affiliations of Erik West include Wayne State University.
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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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3D frequency-domain ultrasound waveform tomography breast imaging
TL;DR: Techniques for Frequency-domain ultrasound waveform tomography are reviewed, motivation for pursuing the 3D method is given, the results of 3D forward modeling are presented, the mismatch that is induced by the violation of3D modeling via numerical simulations is shown, and a 3D inversion of a numerical phantom is presented.
Frequency-domain ultrasound waveform tomography breast attenuation imaging
Gursharan Singh Sandhu,Cuiping Li,Olivier Roy,Erik West,Katelyn Montgomery,Michael Boone,Neb Duric +6 more
TL;DR: In this paper, the authors discuss attenuation and its relations to the imaginary component of the sound speed, and provide both numerical and ex vivo examples of waveform tomography attenuation reconstructions.
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Monitoring breast masses with ultrasound tomography in patients undergoing neoadjuvant chemotherapy
Jessica Lupinacci,Neb Duric,Peter Littrup,Ding Wang,Cuiping Li,Steven Schmidt,Bryan J. Ranger,Erik West,Amy Szczepanski,Olsi Rama,Lisa Bey-Knight,Lukasz Myc +11 more
TL;DR: It was found that changes in tumor properties could be measured in all cases and changes in sound speed were found to vary strongly from patient to patient, suggesting that complete responders exhibit distinctly different responses as measured by sound speed.
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Performance analysis of EM-MPM and K-means clustering in 3D ultrasound image segmentation
Huanyi Yang,Lauren Christopher,Nebojsa Duric,Erik West,Predrag R. Bakic +4 more
- 06 May 2012
TL;DR: Two segmentation algorithms are compared, EM-MPM (Expectation Maximization with Maximization of Posterior Marginals) and K-means clustering using simulated phantoms, which performs significantly better especially for the highly dense tissue scattered within low density tissue and for volumes with low contrast between high and low density tissues.
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