- Oral presentation
- Open Access
Temporal interpolation of real-time cine images for ventricular function assessment
© Saybasili et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Siemens Healthcare
- Cardiac Phasis
- Data Acquisition Strategy
- Interpolation Module
- Reconstruction Pipeline
In uncooperative patients or in presence of arrhythmia, real-time free-breathing cine MR approaches may offer an alternative to well-established segmented data acquisition strategies [1, 2]. Segmented acquisition strategies collect data throughout a number of heartbeats and typically a fixed number of cardiac phases are reconstructed for each slice representing an average RR interval. In real-time cine imaging, the number of reconstructed phases may be different for each slice due to heart rate variations. However, it is desirable to reconstruct a predefined number of cardiac phases per slice to facilitate functional analysis and processing. In this work, we present an image reconstruction approach that retrospectively interpolates real-time cine images to calculate a predefined number of cardiac phases per heartbeat and slice. Ejection fraction is compared between segmented cine images and interpolated real-time cine images in healthy volunteers.
Data acquisition parameters for healthy volunteers
39 to 41
78 to 114
42 to 55
Spatial Resolution (mm)
1.5 × 1.5 × 6
2.8 × 2.3 × 6
2.8 × 2.3 × 6
Comparison of ejection fraction values between segmented and interpolated real-time data sets (Seg: segmented, RT: real-time).
Interpolated real-time images were loaded to Argus and endo-cardial borders were detected prior to analysis. EF measurements (see Table 2) from interpolated real-time and segmented images were found to be in good agreement. End-systolic and end-diastolic phases for segmented, non-interpolated real-time, and interpolated real-time images are given in Figure 2. Interpolation increased the SNR, but introduced slight blurriness. The level of blurring was low and thus it did not affect the functional evaluation.
In this feasibility study we presented initial evidence that interpolated real-time cine images may be used to facilitate cardiac functional analysis using well-established post-processing software. The current implemented algorithm will be extended to take arrhythmia events into account.
The author is a full-time employee of Siemens Healthcare USA, Inc.
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