Detection of seeds in citrus using MRI under motion conditions and improvement with motion correction

Abstract

Magnetic resonance imaging (MRI) is studied under an online strategy. Axial FLASH images (780 ms acquisition time) have been analyzed to identify seed-containing oranges conveyed at 50 and 100 mm/s through a 4.7 Tesla spectrometer. Developed algorithms enable an automated identification of oranges with more than one seed, though axial images under motion conditions suffer from significant blurring artifacts. To overcome this hindrance, coronal FLASH images have been acquired (279 ms acquisition time), developing devoted algorithms for motion correction with encouraging results for quality improvement of dynamic image