Early Detection of Parkinson's Disease Dementia Using Dual-Sided Multi-Scale Convolutional Neural Networks (DSMS-CNN)

CALLUM ALTHAM*, HUAIZHONG ZHANG, MARCELLO TROVATI, ELLA PEREIRA, Nicola Ray, Simon Keller, Antonella Macerollo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

Abstract

Detecting the potential for Parkinson’s Disease Dementia
(PDD) as early as possible is crucial to ensure that quality of life can be
maintained. However, the full origins of this condition are unknown and
analysing potential causes such as the influence of the Cholinergic Basal
Forebrain (cBF) can be challenging due to variation in brain tissue as
well as low scan resolution. Additionally, the structure and function of
the cBF can span both brain hemispheres, and therefore prove difficult to
analyse using a singular deep learning method. In this paper, we propose
a multi-scale, dual-sided approach to analysis of regions with low surface
area such as the cBF. Initially, images are parsed using super-resolution
to increase resolution and contrast. Then, a dual sided multi-scale convolutional neural network (DSMS-CNN) model is proposed to classify
subjects as either normal cognition or PDD based on both hemispheres
of the cBF together. Ablation studies and comparison experiments with
state-of-the-art CNN models show that DSMS-CNN can achieve promising and superior performance
Original languageEnglish
Title of host publicationMedical Imaging and Computer-Aided Diagnosis
Subtitle of host publicationProceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022)
EditorsRuidan Su, Yudong Zhang, Han Liu, Alejandro F Frang
PublisherSpringer
Pages191-201
Number of pages11
Volume810
ISBN (Electronic)9789811667756
Publication statusPublished - 19 Dec 2023
EventMICAD2022 - Leicester, United Kingdom
Duration: 20 Nov 202221 Nov 2022

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Electronic)1876-1100

Conference

ConferenceMICAD2022
Country/TerritoryUnited Kingdom
CityLeicester
Period20/11/2221/11/22

Keywords

  • Parkinson’s Disease Dementia
  • Parkinson’s Disease
  • Magnetic Resonance Imaging
  • Convolutional Neural Network

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