Paper
17 May 2002 Perspective maximum-intensity projection of CRA data
Ramesh R. Galigekere, David W. Holdsworth
Author Affiliations +
Abstract
Three-dimensional (3D) computed rotational angiography (CRA) using an X-ray image intensifier based C-arm imaging system is a relatively new modality useful in cerebral angiography and neuro-interventional surgical procedures. In this paper, we present and study several algorithms for estimating the perspective maximum intensity projection (MIP) -- PMIP -- of CRA (neuro-angiographic) data. The nature of the data, intended applications and the associated approximations differ from those in spiral CT and MR angiography (in which parallel MIP is used extensively). Of relevance is perspective geometry, the intrinsic parameters associated with which are those of the C-arm imaging system. Its relatively small X-ray cone-angle makes the voxel driven method viable for certain applications. Consequently, the voxel-driven method is considered in greater detail. Sparseness of neuro-angiographic data allows thresholding, and hence acceleration. This feature is useful for a rapid preview and as an aid to 2D/3D registration. Post-processing for improving the quality of voxel-driven PMIP is discussed, and an adaptive algorithm is proposed in the context. Results of PMIP of data acquired by scanning patients with a prototype C-arm system are presented.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramesh R. Galigekere and David W. Holdsworth "Perspective maximum-intensity projection of CRA data", Proc. SPIE 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display, (17 May 2002); https://doi.org/10.1117/12.466979
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Angiography

Volume rendering

3D image processing

Imaging systems

3D modeling

Visualization

X-rays

Back to Top