High Resolution Three-Dimensional Cardiac Perfusion Imaging Using Compartment-Based k-t Principal Component Analysis

Viton Vitanis, Robert Manka, Daniel Giese, Henrik Pedersen, Sven Plein, Peter Boesiger, Sebastian Kozerke

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

Three-dimensional myocardial perfusion imaging requires significant acceleration of data acquisition to achieve whole-heart coverage with adequate spatial and temporal resolution. The present article introduces a compartment-based k-t principal component analysis reconstruction approach, which permits three-dimensional perfusion imaging at 10-fold nominal acceleration. Using numerical simulations, it is shown that the compartment-based method results in accurate representations of dynamic signal intensity changes with significant improvements of temporal fidelity in comparison to conventional k-t principal component analysis reconstructions. Comparison of the two methods based on rest and stress three-dimensional perfusion data acquired with 2.3 x 2.3 x 10 mm(3) during a 225 msec acquisition window in patients confirms the findings and demonstrates the potential of compartment-based k-t principal component analysis for highly accelerated three-dimensional perfusion imaging.
Original languageEnglish
Pages (from-to)575-587
Number of pages13
JournalMagnetic Resonance in Medicine
Volume65
Issue number2
DOIs
Publication statusPublished - Feb 2011

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