Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

Journal: Nuclear medicine communications

PMID: 39962871

Abstract

OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effective in assessing dopaminergic neuron degeneration in the striatum. In assessing the neuron degeneration, visual and semiquantitative methods are used to interpret DAT single-photon emission tomography (SPECT) scans based on striatal to background activity, striatal shape, and symmetry. Visual analysis, however, is subjective and reviewer dependent, whereas semiquantitative methods are operator dependent. Our goal in the current study was to derive results via deep learning to facilitate the clinical diagnosis of Parkinson's disease (PD).

Authors

Hsin-Yung Chen

In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, .
Ya-Ju Tsai

Department of Nuclear Medicine, Taipei Medical University Hospital and .
Syu-Jyun Peng

Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsin-Chu, Taiwan; Institute of Electronics, National Chiao Tung University, Hsin-Chu, Taiwan. Electronic address: blue.year@msa.hinet.net.

Keywords

Aged Brain Convolutional Neural Networks Deep Learning Dopamine Plasma Membrane Transport Proteins Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Male Middle Aged Neural Networks, Computer Parkinson Disease Retrospective Studies Tomography, Emission-Computed, Single-Photon

External Resources

View on PubMed Access via DOI PubMed (39962871)

Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.

Abstract

Authors

Keywords

External Resources

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