Sparse segmentation using 3-6 slices achieved Dice scores >0.9 and improved stroke volume precision (error SD 5.4 vs 6.1 mL) but slightly lower accuracy (bias -1.2 vs 0.2 mL) vs SAX segmentation.
Does sparse segmentation based on 3D surface reconstruction of isotropic 3D cardiac cine MRI provide comparable accuracy and precision to conventional SAX segmentation?
Sparse segmentation of isotropic 3D cardiac cine MRI using 3D surface reconstruction offers a more efficient workflow with comparable precision and accuracy to conventional multi-slice segmentation.
PURPOSE: Segmentation of cardiac cine MRI data is routinely used for the volumetric analysis of cardiac function. Conventionally, 2D contours are drawn on short-axis (SAX) image stacks with relatively thick slices (typically 8 mm). Here, an acquisition/reconstruction strategy is used for obtaining isotropic 3D cine datasets; reformatted slices are then used to optimize the manual segmentation workflow. METHODS: Isotropic 3D cine datasets were obtained from multiple 2D cine stacks (acquired during free-breathing in SAX and long-axis (LAX) orientations) using nonrigid motion correction (cine-GRICS method) and super-resolution. Several manual segmentation strategies were then compared, including conventional SAX segmentation, LAX segmentation in three views only, and combinations of SAX and LAX slices. An implicit B-spline surface reconstruction algorithm is proposed to reconstruct the left ventricular cavity surface from the sparse set of 2D contours. RESULTS: All tested sparse segmentation strategies were in good agreement, with Dice scores above 0.9 despite using fewer slices (3-6 sparse slices instead of 8-10 contiguous SAX slices). When compared to independent phase-contrast flow measurements, stroke volumes computed from four or six sparse slices had slightly higher precision than conventional SAX segmentation (error standard deviation of 5.4 mL against 6.1 mL) at the cost of slightly lower accuracy (bias of -1.2 mL against 0.2 mL). Functional parameters also showed a trend to improved precision, including end-diastolic volumes, end-systolic volumes, and ejection fractions). CONCLUSION: The postprocessing workflow of 3D isotropic cardiac imaging strategies can be optimized using sparse segmentation and 3D surface reconstruction. Magn Reson Med 79:2665-2675, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Odille et al. (Mon,) reported a other. Sparse segmentation strategies based on 3D surface reconstruction vs. Conventional short-axis (SAX) segmentation was evaluated on Dice scores and stroke volume precision and accuracy. Sparse segmentation using 3-6 slices achieved Dice scores >0.9 and improved stroke volume precision (error SD 5.4 vs 6.1 mL) but slightly lower accuracy (bias -1.2 vs 0.2 mL) vs SAX segmentation.
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