CAPTURE: Consistently Acquired Projections for Tuned and Robust Estimation: A Self-Navigated Respiratory Motion Correction Approach.
CAPTURE: Consistently Acquired Projections for Tuned and Robust Estimation: A Self-Navigated Respiratory Motion Correction Approach.
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DOI：
10.1097/rli.0000000000000442
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发表时间：
2018-05
影响因子：
6.7
通讯作者：
An H
中科院分区：
文献类型：
--
作者：
Eldeniz C;Fraum T;Salter A;Chen Y;Gach HM;Parikh PJ;Fowler KJ;An H
In this study, we present a fully-automated and robust self-navigated approach to obtain 4D motion-resolved images during free breathing. The proposed method, Consistently-Acquired Projections for TUned and Robust Estimation (CAPTURE), is a variant of the stack-of-stars gradient-echo sequence. A 1D navigator was consistently acquired at a fixed azimuthal angle for all stacks of spokes in order to reduce non-physiological signal contamination due to system imperfections. The resulting projections were then ‘tuned’ using complex phase rotation in order to adapt to scan-to-scan variations, followed by the detection of the respiratory curve. 4D motion-corrected and uncorrected images were then reconstructed via respiratory and temporal binning, respectively. This HIPAA-compliant study was performed with Institutional Review Board approval. A phantom experiment was performed using a custom-made deformable motion phantom with an adjustable frequency and amplitude. For in vivo experiments, ten healthy participants and twelve liver tumor patients provided informed consent and were imaged with the CAPTURE sequence. Two radiologists, blinded to which images were motion-corrected and which were not, independently reviewed the images, and scored image quality using a 5-point Likert scale. In the respiratory motion phantom experiment, CAPTURE reversed the effects of motion blurring and restored edge sharpness from 36% to 78% of that observed in the images from the static scan. Despite large intra- and inter-subject variability in respiration patterns, CAPTURE successfully detected the respiratory motion signal in all participants and significantly improved the image quality according to the subjective radiological assessments of two raters (p<0.05 for both raters) with a 1 to 2-point improvement in the median Likert scores across the whole set of participants. Small lesions (<1 cm in size) which might otherwise be missed on uncorrected images due to motion blurring were more clearly depicted on the CAPTURE images. CAPTURE provides a robust and fully-automated solution for obtaining 4D motion-resolved images in a free-breathing setting. With its unique tuning feature, CAPTURE can adapt to large inter-subject and inter-scan variations. CAPTURE also enables better lesion delineation due to improved image sharpness, thereby increasing the visibility of small lesions.
