Comparison of Real-Time In Vivo Spectral and Vector Velocity Estimation

Pedersen, Michael Ingemann; Pihl, Michael Johannes; Haugaard, Per; Hansen, Jens Munk; Hansen, Kristoffer Lindskov; Nielsen, Michael Bachmann; Jensen, Jørgen Arendt

doi:10.1016/j.ultrasmedbio.2011.10.003

Cited by 54 publications

(66 citation statements)

References 14 publications

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“…Studies have indicated that TOUS underestimates flow velocities [19][20][21]30,31 . Nevertheless, the lower standard deviation of TOUS compared to SDUS suggests that TOUS is more precise than SDUS, which is in accordance with a previous study concerning blood flow estimation in in the carotid artery 21 .…”

Section: Discussionmentioning

confidence: 99%

“…Complex flow is more elaborately visualized with TOUS compared to SDUS which is an advantage of the technique. The method has been assessed in different regions such as, the portal vein, the ascending aorta and arteriovenous fistulas for hemodialysis [19][20][21][22] . Venous flow in lower limbs has only been characterized with vector velocity US in a single report using plane wave imaging with an experimental scanner 23 .…”

Section: Introductionmentioning

confidence: 99%

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Blood flow velocity in the popliteal vein using transverse oscillation ultrasound

et al. 2016

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Chronic venous disease is a common condition leading to varicose veins, leg edema, post-thrombotic syndrome and venous ulcerations. Ultrasound (US) is the main modality for examination of venous disease. Color Doppler and occasionally spectral Doppler US (SDUS) are used for evaluation of the venous flow. Peak velocities measured by SDUS are rarely used in a clinical setting for evaluating chronic venous disease due to inadequate reproducibility mainly caused by the angle dependency of the estimate. However, estimations of blood velocities are of importance in characterizing venous disease. Transverse Oscillation US (TOUS), a non-invasive angle independent method, has been implemented on a commercial scanner. TOUS's advantage compared to SDUS is a more elaborate visualization of complex flow. The aim of this study was to evaluate, whether TOUS perform equal to SDUS for recording velocities in the veins of the lower limbs. Four volunteers were recruited for the study. A standardized flow was provoked with a cuff compressiondecompression system placed around the lower leg. The average peak velocity in the popliteal vein of the four volunteers was 151.5 cm/s for SDUS and 105.9 cm/s for TOUS (p <0.001). The average of the peak velocity standard deviations (SD) were 17.0 cm/s for SDUS and 13.1 cm/s for TOUS (p <0.005). The study indicates that TOUS estimates lower peak velocity with improved SD when compared to SDUS. TOUS may be a tool for evaluation of venous disease providing quantitative measures for the evaluation of venous blood flow.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blood flow velocity in the popliteal vein using transverse oscillation ultrasound

et al. 2016

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“…Experienced ultrasound users are known to estimate errors up to 28% in peak velocity values on vessel phantoms [6]. The solution to SDU errors could be TO, as angle independent vector velocity estimation with TO is less operator dependent than SDU [12,18].…”

Section: Discussionmentioning

confidence: 99%

“…TO is described thoroughly by Jensen, Munk and Udesen [8,9,10]. Vector velocity is a novel technique, and recent studies have indicated that TO is ready for clinical scanning [11][12][13][14][15]. Clinical TO examinations have until now been limited by the implementation, as TO only worked on a linear array transducer with a scan depth of approximately 60mm.…”

Section: Introductionmentioning

confidence: 99%

Velocity estimation of the main portal vein with Transverse Oscillation

Brandt

Hansen

Nielsen

et al. 2015

2015 IEEE International Ultrasonics Symposium (IUS)

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“…VFI enables angle independent visualization of blood flow, and allows doctors to see and estimate the direction and velocity of blood flow in all directions and at any angle. This provides an angle independent visualization of blood hemodynamics for the cardiovascular system in real time [1]. Today's commercial ultrasound scanners are not able to present a perfect wall-towall delineation of vessels, while displaying the VFI images.…”

Section: Introductionmentioning

confidence: 99%

Hybrid segmentation of vessels and automated flow measures in in-vivo ultrasound imaging

Moshavegh

Martins²,

Hansen

et al. 2016

2016 IEEE International Ultrasonics Symposium (IUS)

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Abstract-Vector Flow Imaging (VFI) has received an increasing attention in the scientific field of ultrasound, as it enables angle independent visualization of blood flow. VFI can be used in volume flow estimation, but a vessel segmentation is needed to make it fully automatic. A novel vessel segmentation procedure is crucial for wall-to-wall visualization, automation of adjustments, and quantification of flow in state-of-the-art ultrasound scanners. We propose and discuss a method for accurate vessel segmentation that fuses VFI data and B-mode for robustly detecting and delineating vessels. The proposed method implements automated VFI flow measures such as peak systolic velocity (PSV) and volume flow. An evaluation of the performance of the segmentation algorithm relative to expert manual segmentation of 60 frames randomly chosen from 6 ultrasound sequences (10 frame randomly chosen from each sequence) is also presented. Dice coefficient denoting the similarity between segmentations is used for the evaluation. The coefficient ranges between 0 and 1, where 1 indicates perfect agreement and 0 indicates no agreement. The Dice coefficient was 0.91 indicating to a very agreement between automated and manual expert segmentations. The flowrig results also demonstrated that the PSVs measured from VFI had a mean relative error of 14.5% in comparison with the actual PSVs. The error for the PSVs measured from spectral Doppler was 29.5%, indicating that VFI is 15% more precise than spectral Doppler in PSV measurement.

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Comparison of Real-Time In Vivo Spectral and Vector Velocity Estimation

Cited by 54 publications

References 14 publications

Blood flow velocity in the popliteal vein using transverse oscillation ultrasound

Blood flow velocity in the popliteal vein using transverse oscillation ultrasound

Velocity estimation of the main portal vein with Transverse Oscillation

Hybrid segmentation of vessels and automated flow measures in in-vivo ultrasound imaging

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