Abstract
Prostate cancer (PCa) diagnosis still relies on systematic biopsy due to the insufficient reliability of imaging techniques. In this work, we introduce a new method to quantify contrast agent convective dispersion (D) and velocity (v) in a three-dimensional dynamic contrast-enhanced ultrasound (3D DCE-US) recording. First, the concentration gradients of the data are established using Gaussian derivatives in space and time. Assuming D and v to be locally constant, the convective-dispersion equation can then be solved by minimizing a leastsquares problem within a moving 3D kernel. Six PCa patients underwent two-minute 3D DCE-US examination prior to radical prostatectomy. Subsequently, the 3D parametric maps of D and v were compared with the 3D histopathologic data. Preliminary results suggest a good correlation between malignancy according to histopathology and both D and v maps.
Original language | English |
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Title of host publication | 2017 IEEE International Ultrasonics Symposium, IUS 2017 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5386-3383-0 |
ISBN (Print) | 978-1-5386-3384-7 |
DOIs | |
Publication status | Published - 2 Nov 2017 |
Event | 2017 IEEE International Ultrasonics Symposium (IUS 2017) - e Omni Shoreham Hotel, Washington, United States Duration: 6 Sept 2017 → 9 Sept 2017 http://ewh.ieee.org/conf/ius/2017/ |
Conference
Conference | 2017 IEEE International Ultrasonics Symposium (IUS 2017) |
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Abbreviated title | IUS 2017 |
Country/Territory | United States |
City | Washington |
Period | 6/09/17 → 9/09/17 |
Internet address |
Keywords
- prostate cancer
- dynamic contrast-enhanced ultrasound
- convective-dispersion equation
- 3D
- Dynamic contrast-enhanced ultrasound
- Convective-dispersion equation
- Prostate cancer