Multimedia Tools and Applications

, Volume 75, Issue 4, pp 2067–2090 | Cite as

A novel dementia diagnosis strategy on arterial spin labeling magnetic resonance images via pixel-wise partial volume correction and ranking

  • Wei Huang
  • Peng Zhang
  • Minmin Shen


Arterial Spin Labeling (ASL) is an emerging magnetic resonance imaging technique attracting increasing attention in dementia diagnosis only beginning from recent years. ASL is capable to provide direct and quantitative measurement of cerebral blood flow (CBF) of scanned patients, so that brain atrophy of demented patients could be revealed by measured low CBF within certain brain regions through ASL. However, partial volume effects (PVE) mainly caused by signal cross-contamination due to pixel heterogeneity and limited spatial resolution of ASL, often prevents CBF from being precisely measured. Inaccurate CBF is prone to mislead and even deteriorate dementia disease diagnosis results, thereafter. In this paper, a novel dementia disease diagnosis strategy based on ASL is proposed for the first time. The diagnosis strategy is composed of two steps: 1) to conduct pixel-wise PVE correction on original ASL images and 2) to predict dementia disease severities based on corrected ASL images via ranking. Extensive experiments and comprehensive statistical analysis are carried out to demonstrate the superiority of the new strategy with comparison to several existing ones. Promising results are reported from the statistical point of view.


Magnetic Resonance Image Alzheimer’s Disease Ranking 



The authors would like to acknowledge national grants 61403182, 61363046, 61301194 and 61302121 approved by the National Natural Science Foundation of China, grants 20142BBE50023 and 20142BAB217033 approved by the Jiangxi Provincial Department of Science and Technology, as well as the NWPU grant 3102014JSJ0014 for supporting this study.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of Information EngineeringNanchang UniversityNanchangChina
  2. 2.School of Computer ScienceNorthwestern Polytechnical UniversityXi’anChina
  3. 3.INCIDE CenterUniversity of KonstanzKonstanzGermany
  4. 4.School of Software EngineeringSouth China University of TechnologyGuangzhouChina

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