Journal of Japanese Society of Pediatric Radiology
Online ISSN : 2432-4388
Print ISSN : 0918-8487
ISSN-L : 0918-8487
Special Feature: The 60th Annual Meeting of the Japanese Society of Pediatric Radiology: Think globally, Act locally
Aiming to perform child-friendly MRI examinations: Utilizing super-resolution deep learning technology (Precise IQ Engine; PIQE)
Hiromi Hisazumi-Watanabe Yoshiomi SatoHiroya Yamazaki
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2025 Volume 41 Issue 1 Pages 18-23

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Abstract

A Precise IQ Engine (PIQE) was developed as a reconstruction technology for magnetic resonance imaging (MRI). This is a Deep Learning Reconstruction (DLR) method developed using deep learning technology (DLT), which belongs to the field of artificial intelligence (AI). Using this PIQE for image processing, a high-resolution image can be obtained within a short time. The fact that imaging can be performed within a short time makes it possible to perform MRI examinations even in children who tend to be uncooperative. It is also possible to image fetuses who are only a few weeks old and are prone to movement during imaging. High resolution also makes it possible to image the details of the lesions of small organs in both children and fetuses.

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© 2025 Japanese Society of Pediatric Radiology
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