Rapid, Efficient Imaging
Mingyue Zhao
graduate student
Northwestern University, United States
Mingyue Zhao
graduate student
Northwestern University, United States
Daming Shen, MSc, BSc
PhD
Northwestern University
Chicago, Illinois, United States
KyungPyo Hong, PhD
Research Associate
Northwestern University
Chicago, Illinois, United States
Lexiaozi Fan, MSc
PhD Candidate
Northwestern University
Chicago, Illinois, United States
Huili Yang, MSc
PhD Candidate
Northwestern University, United States
Li Feng, PhD
Associate Professor
Icahn School of Medicine at Mount Sinai
New York, New York, United States
Bradley D. Allen, MD, MSc, FSCMR
Assistant Professor, Cardiovascular and Thoracic Imaging
Northwestern University
Chicago, Illinois, United States
Daniel C. Lee, MD
Associate Professor of Medicine (Cardiology) and Radiology
Northwestern University
Chicago, Illinois, United States
Dan Kim, MD, MS
Cardiology Fellow
Loyola University Medical Center
Streamwood, Illinois, United States
Late gadolinium enhancement (LGE) is the gold standard for myocardial scar evaluation. Its limitations include a long scan time, poor breath holding in segmented LGE, and low spatial resolution in single-shot LGE. An inversion time (TI) scout is also required to identify an optimal TI to null the normal myocardium. We had previously developed a highly-accelerated multi-TI, single-shot LGE with radial k-space sampling and GRASP reconstruction [1]; the advantage with this sequence is that it is a single-shot and does not require a TI scout. The resulting images, however, produced blurry image quality due to high acceleration factor ( >20). The objective of this study was to incorporate view sharing (VS) and k-space weighted image contrast (KWIC) filtering [2] into GRASP-PRO [3] to minimize image blurring.
Methods:
Human subjects and pulse sequence:
We scanned 30 patients (mean age=61.0±16.5years; 21 males; 9 females) with both clinical standard single-shot LGE and multi-TI, single-shot LGE approximately 10-15 min following 0.15 mmol/kg gadobutrol at 1.5 Tesla (Siemens; Aera and Avanto). Relevant imaging parameters are summarized in Table 1.
Image reconstruction and quantitative analysis:
For the conventional GRASP-PRO method, we reconstructed multiple TI frames using 9 radial spokes per frame. For GRASP-PRO with VS+KWIC, we used 33 radial spokes per frame, where 12 radial spokes before and after the 9 native spokes were shared with adjacent frames. We then applied KWIC filter to zero out the central portion of shared k-space lines, which is necessary to minimize motion blurring and the contrast mixture of different TIs inherent to radial k-space sampling. For illustration of sampling schemes, see Figure 1. Following GRASP-PRO and GRASP-PRO with VS+KWIC, we also applied temporal low-rank block wise filter to remove residual noise.
For quantitative analysis, the blur metric (0=sharp; 1=blur)[4] was calculated for conventional GRASP-PRO LGE, GRASP-PRO LGE with VS+KWIC, and clinical LGE for basal, mid, and apex slices. The variable normality was tested using the Shapiro-Wilk test. The final results were compared using ANOVA with Bonferroni correction for pairwise comparison.
Results:
According to the Shapiro-Wilk test, the measured blur metrics were normally distributed. The blur metric was significantly (P< 0.05) lower for clinical LGE (0.31±0.04) and GRASP-PRO LGE with VS+KWIC (0.29±0.05) than conventional GRASP-PRO LGE (0.40±0.05). Compared to clinical LGE (0.31±0.04), the blur metric was significantly lower (P< 0.05) for GRASP-PRO LGE with VS+KWIC (0.29±0.05). Figure 2 shows representative basal, mid, and apex slices of clinical, conventional GRASP-PRO, GRASP-PRO with VS+KWIC LGE images of one patient with myocardial scarring.
Conclusion:
This study suggests that incorporation of VS and KWIC filtering into the GRASP-PRO improves spatial resolution for multi-TI, single-shot LGE obtained with radial k-space sampling. Future studies include quantification of myocardial scar volume.