Improved accelerated breath-hold radial cine image reconstruction by acquiring additional free-breathing data between br
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POSTER PRESENTATION
Open Access
Improved accelerated breath-hold radial cine image reconstruction by acquiring additional free-breathing data between breath-holds Seunghoon Nam1,3*, Mehmet Akcakaya1, Yongjun Kwak1,3, Beth Goddu1, Kraig V Kissinger1, Warren J Manning1,2, Vahid Tarokh3, Reza Nezafat1 From 15th Annual SCMR Scientific Sessions Orlando, FL, USA. 2-5 February 2012 Background Evaluation of cardiac function is clinically performed using multi-slice breath-hold (BH) acquisition, in which patient breathes for a period of 40-60 seconds between a BH of 10-12 seconds. This results in suboptimal data acquisition efficiency. In this study, we propose to take advantage of the time between multiple BHs to acquire additional free-breathing (FB) data that can be used in the reconstruction of undersampled BH acquisition without increasing the total scan time. Methods Figure 1 shows the proposed data acquisition strategy. An undersampled BH acquisition is followed by a fullysampled FB acquisition during the resting period between BH acquisitions when the patients were instructed to breathe normally. The undersampled radial cine data were reconstructed using compressed sensing (CS) [1]. Each cardiac phase image was sparsified by subtracting the FB image with the same cardiac phase for successful CS reconstruction. Each cardiac phase image is reconstructed by an iterative CS algorithm which minimizes the objective function ∥Am i -y i ∥ 2 2 +l 1 ∥Ψm i ∥ 1 +l 2 ∥m i -m FB,i ∥ 1 , where m i denotes the i-th cardiac phase image, yi denotes the undersampled radial k-space measurement for i-th cardiac phase, A is the radial acquisition matrix, Ψ is a sparsifying transform matrix, and mFB,i is the i-th cardiac phase image from the fully-sampled FB acquisitions. The fully-sampled FB images are reconstructed by gridding algorithm [2]. The data were acquired on 1.5T Philips scanner with ECG-
gated SSFP sequence using 5-channel cardiac-coil array. The following parameters were used: FOV=(320mm) 2, spatial resolution=(1.7mm)2, TR/TE/a=3.1/1.5/55°, temporal resolution=34ms. All BH and FB acquisitions were acquired fully-sampled, and the BH acquisition was retrospectively undersampled. Four FB data set were acquired for each BH dataset and averaged to get mFB,i.
Results Figure 2 shows example cardiac phase images reconstructed by the proposed CS algorithm, conventional CS algorithm which utilizes x-f space sparsity [3], and the gridding algorithm. The BH data was undersampled to have 33% and 20% of projections from fully-sampled data. The proposed method has less streaking artifacts, sharper blood-myocardium borders and improved image qualities. Conclusions We demonstrated the feasibility of CS reconstruction for undersampled radial cine imaging utilizing the FB data acquired during the resting period between BH acquisitions. The results show that the CS reconstruction improves the image quality and can be used either to reduce the BH duration or increase the spatio-temporal resolution of cine imaging. Further studies to evaluate
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