Measurement Of Liver Iron Concentration In A Population Of Non-Transfusion Dependent Thalassemia Patients Using A Trained Artificial Neural Network To Analyse Magnetic Resonance Images

Background: Measurements of liver iron concentration (LIC) by magnetic resonance imaging (MRI) have become established and validated in several research intensive centers. However, challenges remain with translating these measurement methodologies for routine clinical use. Current methods involve many steps presenting multiple opportunities for human error and can lead to systematic severe measurement error. Artificial neural networks (ANNs) can be trained to replace human input into image processing and may have a role in providing a simple, robust, and low cost solution for LIC measurement.