- Oral presentation
- Open Access
Ultrafast in-line computation of ejection fraction from cardiac cine steady-state free precession (SSFP) images
© Pednekar et al; licensee BioMed Central Ltd. 2010
- Published: 21 January 2010
- Manual Contour
- Apical Slice
- Quantitative Feedback
- Cine SSFP
- Cardiac Cine
In clinical practice estimation of global LV function from cine-SSFP images involves at least two workstations, i.e., one to acquire (scanner), and another to process. These workstations are often present at distant locations, and therefore the physicians and technologists at the scanner console often do not get a real-time, quantitative feedback regarding patients LV function. A fast automated in-line processing tool can eliminate this gap, and integrate the process of data acquisition and post-processing on one console.
The purpose of this abstract is to describe our computationally inexpensive, in-line post-processing algorithm that can calculate EF on the scanner console immediately upon the completion of data acquisition and to investigate its clinical feasibility.
The EF computation program automatically runs in the background as a part of the acquisition protocol on the console of a 1.5 T Philips Achieva clinical scanner (Intel Xeon, 3.20 GHz, 6 GB RAM). The program seamlessly retrieves, processs, and saves resultant contoured LV images back into the patient database.
The algorithm steps: 1) automatically recognize LV; 2) classify partial volumed pixels as blood or muscle using periodic intensity variation intrinsic to the cardiac cine-MR; and 3) incorporate smoothness of the LV shape through convex, closed, and piecewise parametric curve to delineate endocardial boundary (details in ).
12 (11 m/1 f, age 52 ± 17 yrs) clinical patients participated in this study. A stack of contiguous short-axis cine SSFP slices were acquired.
The mean bias computed using Bland-Altman (BA) analysis between expert manual contours and automated contours for EF (-6%), EDV (-15 ml, -8%), and ESV (5 ml, 5%) were comparable to that of the typical inter- and intra-observer variability (<5% EDV, <8% ESV, <5% EF) .
It is feasible to integrate the computation of global LV functional indices such as EDV, ESV, and EF as a part of acquisition in real-time on the scanner console.