Magnetic Resonance Imaging (MRI) is an exam that portrays morphological structures through high-definition images using a magnetic field. Understanding the physical basis of MRI represents a challenge for students in diagnostic imaging, as it involves advanced and complex technology. Here, we discuss image acquisition parameters, demonstrating advantages and disadvantages in using different values for each variable addressed and their impact on the quality and resolution of images obtained from the morphological study of tropical fruits. Based on the analysis of images of fruits submitted to MR scanning, we investigated the advantages and disadvantages of using different values for the field of view, slice thickness, matrix, and the use of different weights for scanning, measuring the resolution and quality of the images obtained. It was found that the use of fruit scanning represents an excellent tool for the development of students in radiodiagnosis, aiming at understanding the parameters used in the protocols for acquiring MR equipment and optimizing the quality of images.

Magnetic Resonance Imaging (MRI) is an exam that portrays morphological structures through high-definition images using a magnetic field. Understanding the physical basis of MRI represents a challenge for students in diagnostic imaging, as it involves advanced and complex technology. Here, we discuss image acquisition parameters, demonstrating advantages and disadvantages in using different values for each variable addressed and their impact on the quality and resolution of images obtained from the morphological study of tropical fruits. Based on the analysis of images of fruits submitted to MR scanning, we investigated the advantages and disadvantages of using different values for the field of view, slice thickness, matrix, and the use of different weights for scanning, measuring the resolution and quality of the images obtained. It was found that the use of fruit scanning represents an excellent tool for the development of students in radiodiagnosis, aiming at understanding the parameters used in the protocols for acquiring MR equipment and optimizing the quality of images.