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Deep learning-based reconstruction for canine brain magnetic resonance imaging could improve image quality while

Hyejoon Choi1, Sang-Kwon Lee1, Hojung Choi2

  • 1College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.

Veterinary Radiology & Ultrasound : the Official Journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
|August 15, 2023
PubMed
Summary

Deep learning-based reconstruction (DLR) significantly improves canine brain MRI quality and reduces scan time. This advanced technique enhances signal-to-noise ratio and contrast-to-noise ratio compared to conventional methods.

Keywords:
deep learningdenoisingdogmagnetic resonance imagingneuroimaging

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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).