Abstract
Novel image processing and computer graphics techniques were developed to create three-dimensional (3D) models of vasculature from magnetic resonance (MR) angiographic images of the head or neck. Region growing was used to produce a mask that isolated the vascular signal in the MR angiographic data. The masked images were subjected to gradient-shaded volume rendering to create 3D views of the vasculature. The computer-derived model of intracranial vasculature was then merged with a 3D model of brain parenchyma derived from a set of MR images. The combined display of vascular and gyral anatomy may be useful for neurosurgical planning.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 539-546 |
| Number of pages | 8 |
| Journal | Journal of Magnetic Resonance Imaging |
| Volume | 1 |
| Issue number | 5 |
| DOIs | |
| State | Published - Jan 1 1991 |
| Externally published | Yes |
Keywords
- Brain, MR studies, 10.1214
- Image display
- Image processing
- Magnetic resonance (MR), technology
- Model, mathematical
- Reconstruction algorithms
- Three‐dimensional imaging
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
Fingerprint Dive into the research topics of 'Visualization of MR angiographic data with segmentation and volume‐rendering techniques'. Together they form a unique fingerprint.
Cite this
Hu, X., Alperin, N., Levin, D. N., Tan, K. K., & Mengeot, M. (1991). Visualization of MR angiographic data with segmentation and volume‐rendering techniques. Journal of Magnetic Resonance Imaging, 1(5), 539-546. https://doi.org/10.1002/jmri.1880010506