Name
Title | ||
|---|---|---|
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. |
Abstract | ||
|---|---|---|
PURPOSE : Temporal Enhanced Ultrasound (TeUS) has been proposed as a new paradigm for tissue characterization based on a sequence of ultrasound radio frequency (RF) data. We previously used TeUS to successfully address the problem of prostate cancer detection in the fusion biopsies. METHODS : In this paper, we use TeUS to address the problem of grading prostate cancer in a clinical study of 197 biopsy cores from 132 patients. Our method involves capturing high-level latent features of TeUS with a deep learning approach followed by distribution learning to cluster aggressive cancer in a biopsy core. In this hypothesis-generating study, we utilize deep learning based feature visualization as a means to obtain insight into the physical phenomenon governing the interaction of temporal ultrasound with tissue. RESULTS : Based on the evidence derived from our feature visualization, and the structure of tissue from digital pathology, we build a simulation framework for studying the physical phenomenon underlying TeUS-based tissue characterization. CONCLUSION : Results from simulation and feature visualization corroborated with the hypothesis that micro-vibrations of tissue microstructure, captured by low-frequency spectral features of TeUS, can be used for detection of prostate cancer. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11548-017-1627-0 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Temporal enhanced ultrasound,Deep learning,Deep belief network,Cancer grading,Prostate cancer | Image-Guided Biopsy,Deep belief network,Radio frequency,Prostate cancer,Artificial intelligence,Radiology,Deep learning,Medicine,Deep neural networks,Magnetic resonance imaging,Ultrasound | Journal |
Volume | Issue | ISSN |
12 | 8 | 1861-6429 |
Citations | PageRank | References |
4 | 0.51 | 12 |
Authors | ||
16 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shekoofeh Azizi | 1 | 31 | 5.50 |
| Sharareh Bayat | 2 | 5 | 1.22 |
| Pingkun Yan | 3 | 1306 | 83.14 |
| Amir M. Tahmasebi | 4 | 60 | 9.66 |
| Guy Nir | 5 | 42 | 5.74 |
| Jin Tae Kwak | 6 | 105 | 15.60 |
| Sheng Xu | 7 | 507 | 71.47 |
| Storey Wilson | 8 | 4 | 0.51 |
| Kenneth A Iczkowski | 9 | 12 | 0.99 |
| M Scott Lucia | 10 | 12 | 1.32 |
| Larry Goldenberg | 11 | 12 | 2.06 |
| Septimiu E. Salcudean | 12 | 720 | 72.86 |
| Peter A Pinto | 13 | 36 | 9.02 |
| Bradford J Wood | 14 | 142 | 31.69 |
| Purang Abolmaesumi | 15 | 951 | 111.52 |
| Parvin Mousavi | 16 | 366 | 56.95 |