Abstract #2409

Clinically Integrated MRI-QSM Analysis & Reporting System to Establish Brain Tissue Iron Levels in Pediatrics

Hashem Zamanian¹, Eamon Doyle², John Wood³, Benita Tamrazi⁴, Matthew Borzage⁵, and Stephan G Erberich²

¹TSRI, Children's Hospital Los Angeles, Los Angeles, CA, United States, ²Radiology, USC Keck School of Medicine, Los Angeles, CA, United States, ³Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, ⁴Radiology, Children’s Hospital Los Angeles, Los Angeles, CA, United States, ⁵Pediatrics, USC Keck School of Medicine, Los Angeles, CA, United States

Synopsis

Keywords: Neuro, Data Analysis, QSM, MRI

Motivation: Quantitative Susceptibility Mapping (QSM) is emerging as a new biomarker in MRI iron measurement with novel applications in brain imaging. However, acceptance of QSM as a standardized clinical tool requires establishing normal values and clinical integrated reporting.

Goal(s): Create a standardized and clinically integrated QSM workflow to establish normal/abnormal iron-load measurements reporting in atlas-transformed brain regions within a pediatric patient population.

Approach: We developed a system that automates the identification, processing, and reporting of QSM MRI data into PACS.

Results: More than 2000 patient exams have been processed, allowing for the establishment of brain region-specific normal QSM values across pediatric age-groups.<br bcx4"="">

Impact: We developed an image processing orchestration system that automates the identification, processing, and reporting of QSM MRI data into PACS.

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