Computer-assisted analysis of three-dimensional MR angiograms.

@article{HernndezHoyos2002ComputerassistedAO,
  title={Computer-assisted analysis of three-dimensional MR angiograms.},
  author={Marcela Hern{\'a}ndez-Hoyos and Maciej Orkisz and Philippe A. Puech and Catherine Mansard-Desbleds and Philippe Douek and Isabelle E. Magnin},
  journal={Radiographics : a review publication of the Radiological Society of North America, Inc},
  year={2002},
  volume={22 2},
  pages={
          421-36
        }
}
The software tools required for postprocessing of magnetic resonance (MR) angiograms include the following functions: data handling, image visualization, and vascular analysis. A custom postprocessing software called Magnetic Resonance Angiography Computer Assisted Analysis (MARACAS) has been developed. This software combines the most commonly used three-dimensional visualization techniques with image processing methods for analysis of vascular morphology on MR angiograms. The main… 
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References

SHOWING 1-10 OF 51 REFERENCES
Model-based quantitation of 3-D magnetic resonance angiographic images
TLDR
The approach is a promising technique to assess several geometrical vascular parameters directly on the source 3-D images, providing an objective mechanism for stenosis grading.
Diagnostic impact of four postprocessing techniques in evaluating contrast-enhanced three-dimensional MR angiography.
TLDR
Accurate and time-effective analysis of contrast-enhanced 3D MR angiography should be based on MIP algorithms and multiplanar reformations.
Improved phase-contrast flow quantification by three-dimensional vessel localization.
A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA
TLDR
The main goal of this work is to develop a fast and reliable method for stenosis quantification by extraction of the vessel axis by an expansible skeleton method and area measurements based on the resulting contours allow the calculation of stenosis parameters.
Artifacts in maximum-intensity-projection display of MR angiograms.
TLDR
Vascular anatomy is systematically distorted by the unusual contrast behavior of MIPs when many sections are projected, and the purpose of this essay is to illustrate these artifacts.
Advances of blood vessel morphology analysis in 3D magnetic resonance images
TLDR
This work deals with image processing applied to three-dimensional (3D) analysis of vascular morphology in magnetic resonance angiography (MRA) images, and describes an anisotropic non-linear filter which improves visualization of small blood vessels.
Visualization of MR angiographic data with segmentation and volume‐rendering techniques
TLDR
The combined display of vascular and gyral anatomy may be useful for neurosurgical planning.
Rapid magnetic resonance angiography for detection of atherosclerosis
Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data
TLDR
A new, fully automatic, statistically based algorithm for segmenting the three-dimensional vessel information from time of flight (TOF) MRA data is established, motivated by a physical model of blood flow that is used in a two stage segmentation algorithm.
Multidirectional depiction of internal carotid arterial stenosis: three-dimensional time-of-flight MR angiography versus rotational and conventional digital subtraction angiography.
TLDR
Apparent overestimation of ICA stenosis at 3D TOF MR angiography versus conventional DSA may be partly explained by the greater number of projection images available at 3C time-of-flight MRAngiography.
...
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