Convective-dispersion modeling in 3D contrast-ultrasound imaging for the localization of prostate cancer

R.R. Wildeboer, R.J.G. van Sloun, S.G. Schalk, C.K. Mannaerts, J.C. van der Linden, P. Huang, H. Wijkstra, M. Mischi

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)
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Despite being the solid tumor with the highest incidence in western men, prostate cancer (PCa) still lacks reliable imaging solutions that can overcome the need for systematic biopsies. Dynamic contrast-enhanced ultrasound imaging (DCE-US) allows us to quantitatively characterize the vascular bed in the prostate, due to its ability to visualize an intravenously administered bolus of contrast agents. Previous research has demonstrated that DCE-US parameters related to the vascular architecture are useful markers for the localization of PCa lesions. In this paper, we propose a novel method to assess the convective dispersion (D) and velocity (v) of the contrast bolus spreading through the prostate from three-dimensional (3D) DCE-US recordings. By assuming that D and v are locally constant, we solve the convective-dispersion equation by minimizing the corresponding regularized least-squares problem. 3D multiparametric maps of D and v were compared with 3D histopathology retrieved from the radical prostatectomy specimens of six patients. With a pixel-wise area under the receiver operating characteristic curve of 0.72 and 0.80, respectively, the method shows diagnostic value for the localization of PCa.

Original languageEnglish
Article number8371214
Pages (from-to)2593-2602
Number of pages10
JournalIEEE Transactions on Medical Imaging
Issue number12
Publication statusPublished - 1 Dec 2018


  • 3D
  • Convection
  • Dispersion
  • Dynamic Contrast-Enhanced Ultrasound
  • Prostate Cancer
  • convection
  • dynamic contrast-enhanced ultrasound
  • dispersion
  • Prostate cancer
  • Imaging, Three-Dimensional/methods
  • Humans
  • Ultrasonography/methods
  • Male
  • Prostatic Neoplasms/diagnostic imaging
  • Contrast Media
  • Computer Simulation
  • Video Recording


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