Int J CARS (2017) 12:1293–1305 DOI 10.1007/s11548-017-1627-0 ORIGINAL ARTICLE Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations 1 1 2 2 Shekoofeh Azizi · Sharareh Bayat · Pingkun Yan · Amir Tahmasebi · 1 3 6 4 4 Guy Nir · Jin Tae Kwak · Sheng Xu · Storey Wilson · Kenneth A. Iczkowski · 4 5 1 6 M. Scott Lucia · Larry Goldenberg · Septimiu E. Salcudean · Peter A. Pinto · 6 1 7 Bradford Wood · Purang Abolmaesumi · Parvin Mousavi Received: 10 February 2017 / Accepted: 1 May 2017 / Published online: 20 June 2017 © CARS 2017 Abstract Conclusion Results from simulation and feature visualiza- Purpose Temporal Enhanced Ultrasound (TeUS) has been tion corroborated with the hypothesis that micro-vibrations proposed as a new paradigm for tissue characterization based of tissue microstructure, captured by low-frequency spectral on a sequence of ultrasound radio frequency (RF) data. We features of TeUS, can be used for detection of prostate cancer. previously used TeUS to successfully address the problem of prostate cancer detection in the fusion biopsies. Keywords Temporal enhanced ultrasound · Deep learning · Methods In this
International Journal of Computer Assisted Radiology and Surgery – Springer Journals
Published: Jun 20, 2017
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