Analysis of Magnetic Resonance Signals from Diffusion Weighted Imaging using Compressed Sensitivity Encoding Technique

Jang, Ji Sung; Han, Yong-Soo; Jeong, Mi-Ae

doi:10.4283/jmag.2019.24.2.217

Cited by 1 publication

(3 citation statements)

References 16 publications

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“…Among them, CS-SENSE has a unique undersampling method of k-space by a balanced incoherent acquisition of variable density with iterative reconstruction. 6,[15][16][17] Recent studies demonstrated that CS-SENSE offers similar image quality to that of SENSE, with a reduction in image acquisition time. 15,[17][18][19] These results are consistent with the current study concerning image quality and image acquisition time reduction.…”

Section: Discussionmentioning

confidence: 99%

“…6,[15][16][17] Recent studies demonstrated that CS-SENSE offers similar image quality to that of SENSE, with a reduction in image acquisition time. 15,[17][18][19] These results are consistent with the current study concerning image quality and image acquisition time reduction. However, they had no explanation for phase oversampling distance and did not focus on it for their results.…”

Section: Discussionmentioning

confidence: 99%

“…While those scans with pre-scribed FOV smaller than the target anatomy do require extra FOV called oversampling distance in the phase encoding direction with increasing acceleration factor (AF), which is defined as the ratio between a fullysampled data and an under-sampled data. 1,4 As the spacing distance between k-space lines is inversely proportional to the FOV, the increase in AF results in a reduced FOV image from each of the coil elements. Thus, the Nyquist sampling theorem criterion is not met, appearing with aliasing artifacts in the reduced FOV.…”

Section: Introductionmentioning

confidence: 99%

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Image quality and acquisition time assessments for phase oversampling in compressed sensing sensitivity encoding: Comparison with conventional SENSE

Jang

Lee

Suh

et al. 2021

J Applied Clin Med Phys

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This study compared sensitivity encoding (SENSE) and compressed sensing sensitivity encoding (CS-SENSE) for phase oversampling distance and assessed its impact on image quality and image acquisition time. The experiment was performed with a large diameter phantom using 16-channel anterior body coils. All imaging data were divided into three groups according to the parallel imaging technique and oversampling distances: groups A (SENSE with phase oversampling distance of 150 mm), B (CS-SENSE with phase oversampling distance of 100 mm), and C (CS-SENSE with phase oversampling distance of 75 mm). No statistically significant differences were observed among groups A, B, and C regarding both T2 and T1 turbo spin-echo (TSE) sequences using an acceleration factor (AF) of 2 (p = 0.301 and 0.289, respectively). In comparison with AF 2 of group A, the scan time of AF 2 of groups B and C was reduced by 11.2% and 23.5% (T2 TSE) and 15.8% and 22.7% (T1 TSE), respectively, while providing comparable image quality. Significant image noise and aliasing artifact were more evident at AF ≥ 2 in group A compared with groups B and C. CS-SENSE with a less phase oversampling distance can reduce image acquisition time without image quality degradation compared with that of SENSE, despite the increase in aliasing artifact as the AF increased in both CS-SENSE and SENSE.

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