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Updated: May 6, 2026

Whole-body PET/MRI of Pediatric Patients: The Details That Matter
Published on: December 19, 2017
Clinical performance of contrast enhanced abdominal pediatric MRI with fast combined parallel imaging compressed
Tao Zhang1, Shilpy Chowdhury, Michael Lustig
1Electrical Engineering, Stanford University, Stanford, California, USA.
Insights
A new fast MRI reconstruction technique, combined parallel imaging compressed sensing with coil compression, shows promise for pediatric abdominal imaging. This method significantly improved anatomical structure delineation compared to traditional parallel imaging.
Area of Science:
- Radiology
- Medical Imaging
- Biomedical Engineering
Background:
- Pediatric MRI requires efficient imaging techniques to minimize scan times and reduce motion artifacts.
- Contrast-enhanced MRI is crucial for diagnosing abdominal pathologies in children.
- Traditional parallel imaging methods can be time-consuming, limiting clinical applicability.
Purpose of the Study:
- To evaluate the clinical feasibility and performance of a novel accelerated MRI reconstruction method.
- To assess a combined parallel imaging compressed sensing (PICS) technique with coil compression for rapid image reconstruction.
- To determine if this technique improves anatomical structure delineation in pediatric contrast-enhanced abdominal MRI.
Main Methods:
- Twenty-nine pediatric patients underwent dynamic contrast-enhanced MRI at 3 Tesla using a 3D SPGR sequence with high acceleration (R = 7.2).
- Undersampled data were reconstructed using traditional parallel imaging and PICS with and without coil compression.
- Two radiologists blindly evaluated image quality and anatomical delineation.
Main Results:
- Fast reconstruction using PICS with coil compression did not compromise image quality.
- The PICS method with coil compression achieved a significantly higher mean score for structural delineation (4.1/5) compared to traditional parallel imaging (3.1/5).
- Fair to substantial interobserver agreement was achieved for structural delineation assessment.
Conclusions:
- The developed fast PICS method with coil compression is clinically feasible for pediatric abdominal MRI.
- This accelerated technique demonstrates potential for enhancing structural delineation compared to conventional parallel imaging.
- Further clinical validation is warranted to confirm its benefits in pediatric populations.
Purpose:
To deploy clinically, a combined parallel imaging compressed sensing method with coil compression that achieves a rapid image reconstruction, and assess its clinical performance in contrast-enhanced abdominal pediatric MRI.
Materials And Methods:
With Institutional Review Board approval and informed patient consent/assent, 29 consecutive pediatric patients were recruited. Dynamic contrast-enhanced MRI was acquired on a 3 Tesla scanner using a dedicated 32-channel pediatric coil and a three-dimensional SPGR sequence, with pseudo-random undersampling at a high acceleration (R = 7.2). Undersampled data were reconstructed with three methods: a traditional parallel imaging method and a combined parallel imaging compressed sensing method with and without coil compression. The three sets of images were evaluated independently and blindly by two radiologists at one siting, for overall image quality and delineation of anatomical structures. Wilcoxon tests were performed to test the hypothesis that there was no significant difference in the evaluations, and interobserver agreement was analyzed.
Results:
Fast reconstruction with coil compression did not deteriorate image quality. The mean score of structural delineation of the fast reconstruction was 4.1 on a 5-point scale, significantly better (P < 0.05) than traditional parallel imaging (mean score 3.1). Fair to substantial interobserver agreement was reached in structural delineation assessment.
Conclusion:
A fast combined parallel imaging compressed sensing method is feasible in a pediatric clinical setting. Preliminary results suggest it may improve structural delineation over parallel imaging.
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