Paper Info
Title
Registration of cardiac SPECT/CT data through weighted intensity co-occurrence priors.
Abstract
The introduction of hybrid scanners has greatly increased the popularity of molecular imaging techniques. Many clinical applications benefit from combining complementary information based on the precise alignment of the two modalities. In case the alignment is inaccurate, then this crucial assumption often made for subsequent processing steps will be violated. However, this violation may not be apparent to the physician. In CT-based attenuation correction (AC) for cardiac SPECT/CT data, critical misalignments between SPECT and CT can lead to spurious perfusion defects. In this work, we focus on increasing the accuracy of rigid volume registration of cardiac SPECT/CT data by using prior knowledge. A new weighting scheme for an intensity co-occurrence prior is introduced to assure accurate and robust alignment in the local heart region. Experimental results demonstrate that the proposed method out-performs mutual information registration and shows robustness across a selection of learned distributions acquired from 15 different patients.
Year
Venue
Keywords
2007
MICCAI
robust alignment,ct-based attenuation correction,ct data,rigid volume registration,clinical application,weighted intensity co-occurrence prior,prior knowledge,complementary information,precise alignment,mutual information registration,cardiac spect,attenuation correction,molecular imaging,mutual information
Field
DocType
Volume
Computer vision,Weighting,Pattern recognition,Computer science,Robustness (computer science),Mutual information,Artificial intelligence,Correction for attenuation,Prior probability,Spurious relationship,Image registration
Conference
10
Issue
ISSN
ISBN
Pt 1
0302-9743
3-540-75756-2
Citations 
PageRank 
References 
2
0.45
7
Authors
4
Name
Order
Citations
PageRank
Christoph Guetter1897.99
Matthias Wacker220.45
Chenyang Xu373935.43
Joachim Hornegger41734190.62