Roadmap for an imaging and modelling paediatric study in rural NZ.

Area of Science:

• Biomedical Engineering
• Pediatric Imaging
• Computational Physiology

Background:

• Existing imaging studies often focus on single organs, creating data silos.
• There are significant knowledge gaps in pediatric anatomical structure and physiological function.
• A lack of representative pediatric imaging data exists, particularly in New Zealand.

Purpose of the Study:

• To develop an integrated organ-system imaging and computational modeling approach for pediatric research.
• To address limitations in current pediatric imaging by scanning multiple organ systems simultaneously.
• To create minimally disruptive imaging protocols and advanced computational models for children.

Main Methods:

• Utilized magnetic resonance imaging (MRI) across multiple organ systems including brain, lungs, heart, muscle, bones, and vascular systems.
• Employed advanced image processing algorithms to analyze imaging data.
• Developed personalized computational models using integrated imaging and physiological data.

Main Results:

• Successfully pilot-tested a minimally disruptive, multi-organ imaging protocol for children.
• Demonstrated state-of-the-art image processing techniques for pediatric data.
• Generated child-specific measurements and personalized computational models from imaging data.

Conclusions:

• The study highlights the necessity of an organ-system approach in pediatric imaging research.
• This work represents a significant first step towards integrating imaging and modeling for improved understanding of pediatric health and disease.
• The developed methods offer a novel pathway for creating personalized computational models in pediatric populations.