Blood pool contrast-enhanced MRA: improved arterial visualization in the steady state

Bemmel, Cornelis M. van; Wink, Onno; Verdonck, Bert; Viergever, Max A.; Niessen, Wiro J.

doi:10.1109/tmi.2003.812262

Cited by 26 publications

(17 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are other methods of achieving blood vessel separation via segmentation of blood-pool agent studies (15). However, our technique is considered to be a simplified version for separating both arteries and veins without the need for image processing or segmentation techniques, which need intensive computations and are subject to different interpretations.…”

Section: Discussionmentioning

confidence: 99%

High‐resolution imaging of the intracranial arterial and venous systems following a single contrast injection

Al–Kwifi¹,

Shelef²,

Farb³

et al. 2006

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Purpose: To generate two separate three-dimensional (3D) high spatial resolution images of the intracranial arterial and venous systems using a single contrast injection. Materials and Methods:A 3D contrast-enhanced (CE) magnetic resonance angiography (MRA) acquisition was modified to create two separate k-space data sets to encode the arterial and venous enhancement signals individually after contrast agent injection. Following an automated detection of contrast arrival, the central k-space views corresponding to the arterial phase were acquired for the first eight seconds. A full elliptical-centric acquisition was then acquired for the venous phase and the missing views in the periphery of the first k-space data set were copied from the venous phase. A total of 18 patients underwent this study. Image quality, signal-to-noise ratio (SNR), and contrast-tonoise ratio (CNR) were determined in both intracranial systems.Results: Two 3D image sets were generated for the arterial and venous intracranial systems. Both sets have high quality images that are clinically diagnostic. SNR and CNR were high in both sets, so that all the major vessels were visible. Conclusion:This technique provides images with high spatial resolution for both arterial and venous intracranial systems using a single contrast injection.

show abstract

Section: Discussionmentioning

confidence: 99%

High‐resolution imaging of the intracranial arterial and venous systems following a single contrast injection

Al–Kwifi¹,

Shelef²,

Farb³

et al. 2006

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…The amount of user interaction can be further reduced if a first-pass dataset (in which only the arterial part of the vasculature is enhanced) is available. Only three user-defined points are needed to determine the CAA if a first-pass dataset is available [23]. Although Lei et al have used central axes as initialization (see [20] for fuzzy connectedness AV separation), the use of central axes as initialization for evolving level sets has not been reported earlier.…”

Section: Discussionmentioning

confidence: 99%

“…The influence of the parameters , , and on the accuracy of the central vessel axis determination was determined in a previous study [23]. Best results are obtained for , , and , where is the maximum grey value in the image.…”

Section: B Path Trackingmentioning

confidence: 98%

“…A more detailed description of the MCP algorithm is given in [22]. In a previous study, we have shown that if a first-pass dataset is available in which only the arterial part of the vasculature is enhanced, this step can be carried out with even less user interaction [23]. Here, we have chosen the supervised technique on the steady-state data since a dataset acquired during the first pass of the contrast agent is not always available.…”

Section: A Extracting Central Axes For Initializationmentioning

confidence: 99%

“…Hereto, the vesselness image of the steady-state dataset is computed at 25 scales (exponentially increasing, mm) and the MCP is determined. Appropriate values for , , and were determined in an earlier study [23].…”

Section: A Path Trackingmentioning

confidence: 99%

See 2 more Smart Citations

Level-set-based artery-vein separation in blood pool agent ce-mr angiograms

Bemmel

Spreeuwers

Viergever

et al. 2003

IEEE Trans. Med. Imaging

Self Cite

View full text Add to dashboard Cite

Abstract-Blood pool agents (BPAs) for contrast-enhanced (CE) magnetic-resonance angiography (MRA) allow prolonged imaging times for higher contrast and resolution. Imaging is performed during the steady state when the contrast agent is distributed through the complete vascular system. However, simultaneous venous and arterial enhancement in this steady state hampers interpretation. In order to improve visualization of the arteries and veins from steady-state BPA data, a semiautomated method for artery-vein separation is presented. In this method, the central arterial axis and central venous axis are used as initializations for two surfaces that simultaneously evolve in order to capture the arterial and venous parts of the vasculature using the level-set framework. Since arteries and veins can be in close proximity of each other, leakage from the evolving arterial (venous) surface into the venous (arterial) part of the vasculature is inevitable. In these situations, voxels are labeled arterial or venous based on the arrival time of the respective surface. The evolution is steered by external forces related to feature images derived from the image data and by internal forces related to the geometry of the level sets. In this paper, the robustness and accuracy of three external forces (based on image intensity, image gradient, and vessel-enhancement filtering) and combinations of them are investigated and tested on seven patient datasets. To this end, results with the level-set-based segmentation are compared to the reference-standard manually obtained segmentations. Best results are achieved by applying a combination of intensity-and gradient-based forces and a smoothness constraint based on the curvature of the surface. By applying this combination to the seven datasets, it is shown that, with minimal user interaction, artery-vein separation for improved arterial and venous visualization in BPA CE-MRA can be achieved.Index Terms-Artery-vein separation (AV separation), blood pool agent (BPA), contrast-enhanced magentic-resonance angiography (CE-MRA), level set, separation.

show abstract

Automatic segmentation of coronary tree in CT angiography images

Gao

Liu

Song

et al. 2017

Adaptive Control & Signal

View full text Add to dashboard Cite

The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties. Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include:By submitting a manuscript to or reviewing for this publication, your name, email address, and affiliation, and other contact details the publication might require, will be used for the regular operations of the publication, including, when necessary, sharing with the publisher (Wiley) and partners for production and publication. The publication and the publisher recognize the importance of protecting the personal information collected from users in the operation of these services, and have practices in place to ensure that steps are taken to maintain the security, integrity, and privacy of the personal data collected and processed. You can learn more at https://authorservices.wiley.com/statements/data-protection-policy.html.

show abstract

Blood pool contrast-enhanced MRA: improved arterial visualization in the steady state

Cited by 26 publications

References 21 publications

High‐resolution imaging of the intracranial arterial and venous systems following a single contrast injection

High‐resolution imaging of the intracranial arterial and venous systems following a single contrast injection

Level-set-based artery-vein separation in blood pool agent ce-mr angiograms

Automatic segmentation of coronary tree in CT angiography images

Contact Info

Product

Resources

About