Abstract
OBJECTIVE: Whole-brain computed tomography perfusion (CTP) data sets generated by tracer delay-insensitive singular value decomposition plus (SVD+) and standard singular value decomposition (sSVD) deconvolution algorithms were evaluated to quantify relatedness and discrepancies in CTP results. METHODS: Twenty females with symmetrical hemispheric CTP maps indicative of brain tissue without apparent abnormalities were studied. Tissue-specific CTP values were analyzed. RESULTS: Standard SVD values were higher than SVD+ for cerebral blood flow. Other CTP values had minimal differences across brain regions. All simple linear regression models were statistically significant (P < 0.05) except for cerebral blood flow in white matter (P = 0.06). Cerebral blood volume had a good model fit, and mean transit time, a poor fit. CONCLUSIONS: Corresponding fitted CTP values for sSVD and SVD+ based on regression equations for brain-tissue types are presented. Additional research is required to compare SVD+ and sSVD in disease states when significant hemodynamic brain alterations are present.
Original language | English (US) |
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Pages (from-to) | 212-221 |
Number of pages | 10 |
Journal | Journal of Computer Assisted Tomography |
Volume | 37 |
Issue number | 2 |
DOIs | |
State | Published - 2013 |
Externally published | Yes |
Keywords
- Brain CT perfusion
- Computed tomography
- Singular value decomposition deconvolution algorithm
- Tracer delay-insensitive SVD
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging