Contrast-enhanced ultrasound tractography for 3D vascular imaging of the prostate

被引:0
作者
Ruud J. G. van Sloun
Libertario Demi
Stefan G. Schalk
Cristina Caresio
Christophe Mannaerts
Arnoud W. Postema
Filippo Molinari
Hans C. van der Linden
Pingtong Huang
Hessel Wijkstra
Massimo Mischi
机构
[1] Eindhoven University of Technology,Department of Electrical Engineering
[2] University of Amsterdam,Department of Urology, Academic Medical Center
[3] Biolab,Department of Electronics and Telecommunications
[4] Polytechnic University of Turin,Department of Pathology/DNA laboratories
[5] Jeroen Bosch Hospital,Department of Ultrasound
[6] Second Affiliated University Hospital,Department of Information Engineering and Computer Science
[7] Zhejiang University School of Medicine,undefined
[8] University of Trento,undefined
来源
Scientific Reports | / 8卷
关键词
Contrast-enhanced Ultrasound (CEUS); Diffusion Tensor Tractography (DTT); Fiber Trajectories; Seed Points; Clinical Ultrasound Scanner;
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学科分类号
摘要
Diffusion tensor tractography (DTT) enables visualization of fiber trajectories in soft tissue using magnetic resonance imaging. DTT exploits the anisotropic nature of water diffusion in fibrous structures to identify diffusion pathways by generating streamlines based on the principal diffusion vector. Anomalies in these pathways can be linked to neural deficits. In a different field, contrast-enhanced ultrasound is used to assess anomalies in blood flow with the aim of locating cancer-induced angiogenesis. Like water diffusion, blood flow and transport of contrast agents also shows a principal direction; however, this is now determined by the local vasculature. Here we show how the tractographic techniques developed for magnetic resonance imaging DTT can be translated to contrast-enhanced ultrasound, by first estimating contrast flow velocity fields from contrast-enhanced ultrasound acquisitions, and then applying tractography. We performed 4D in-vivo contrast-enhanced ultrasound of three human prostates, proving the feasibility of the proposed approach with clinically acquired datasets. By comparing the results to histopathology after prostate resection, we observed qualitative agreement between the contrast flow tracts and typical markers of cancer angiogenic microvasculature: higher densities and tortuous geometries in tumor areas. The method can be used in-vivo using a standard contrast-enhanced ultrasound protocol, opening up new possibilities in the area of vascular characterization for cancer diagnostics.
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