Multiresolution, model‐based segmentation of MR angiograms

During the last decade, the quality of MR angiograms has risen substantially and their clinical utility has been demonstrated progressively. This acceptance has created a need for tools with which to summarize and display the information available. We have used a model‐based segmentation technique to extract vascular morphology and local flow parameters from phase contrast MR angiograms. A multiresolution data structure is used as the basis of recursive decision‐making to identify regions of blood flow. The resulting data representation allows more efficient data handling in subsequent processing and visualization and is directly applicable to the creation of a connected graph model of vascular regions. We describe this flow feature extraction algorithm and demonstrate the utility of the results.

[1]  E M Haacke,et al.  Optimizing blood vessel contrast in fast three‐dimensional MRI , 1990, Magnetic resonance in medicine.

[2]  C L Dumoulin,et al.  Three‐dimensional phase contrast angiography , 1989, Magnetic resonance in medicine.

[3]  Guido Gerig,et al.  Symbolic Description of 3-D Structures Applied to Cerebral Vessel Tree Obtained from MR Angiography Volume Data , 1993, IPMI.

[4]  Roland Wilson,et al.  A generalized wavelet transform for Fourier analysis: The multiresolution Fourier transform and its application to image and audio signal analysis , 1992, IEEE Trans. Inf. Theory.

[5]  D L Parker,et al.  MR angiography by multiple thin slab 3D acquisition , 1991, Magnetic resonance in medicine.

[6]  Bob S. Hu,et al.  Magnetization transfer time‐of‐flight magnetic resonance angiography , 1992, Magnetic resonance in medicine.

[7]  M H Buonocore Algorithms for improving calculated streamlines in 3‐D phase contrast angiography , 1994, Magnetic resonance in medicine.

[8]  H E Cline,et al.  Volume rendering and connectivity algorithms for MR angiography , 1991, Magnetic resonance in medicine.

[9]  C L Dumoulin,et al.  A protocol for the isolation of carotid and vertebral arteries in MR angiography. , 1989, AJNR. American journal of neuroradiology.

[10]  N J Pelc,et al.  Volume MR angiography: methods to achieve very short echo times. , 1990, Radiology.

[11]  Marc Levoy,et al.  Efficient ray tracing of volume data , 1990, TOGS.

[12]  J. Hale,et al.  MR imaging of blood vessels using three-dimensional reconstruction: methodology. , 1985, Radiology.

[13]  D G Nishimura,et al.  Time‐of‐flight MR angiography , 1990, Magnetic resonance in medicine.

[14]  Roland Wilson,et al.  Curve extraction in images using the multiresolution Fourier transform , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[15]  P Lasjaunias,et al.  Intracranial aneurysms: endovascular evaluation with three-dimensional-display MR angiography. , 1995, Radiology.

[16]  D. Parker,et al.  Vessel enhancement filtering in three‐dimensional MR angiography , 1995, Journal of magnetic resonance imaging : JMRI.

[17]  Guido Gerig,et al.  Segmentation and Symbolic Description of Cerebral Vessel Structure based on MR Angiography Volume Data , 1993 .

[18]  D Saloner,et al.  Cardiac‐gated MR angiography of pulsatile flow: K‐space strategies , 1995, Journal of magnetic resonance imaging : JMRI.