Real-time volume rendering visualization of dual-modality PET/CT images with interactive fuzzy thresholding segmentation

Author name used in this publication: Dagan FengCentre for Multimedia Signal Processing, Department of Electronic and Information Engineering2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Segmentation of VOI from multidimensional dynamic PET images by integrating spatial and temporal features

Author name used in this publication: Dagan FengCentre for Multimedia Signal Processing, Department of Electronic and Information Engineering2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Fast and reliable estimation of multiple parametric images using an integrated method for dynamic SPECT

Author name used in this publication: Dagan FengCentre for Multimedia Signal Processing, Department of Electronic and Information Engineering2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Adaptive fuzzy clustering in constructing parametric images for low SNR functional imaging

Author name used in this publication: Michael FulhamAuthor name used in this publication: Dagan FengRefereed conference paper2008-2009 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

Segmentation of dual modality brain PET/CT images using the MAP-MRF model

Author name used in this publication: Michael FulhamAuthor name used in this publication: Dagan FengRefereed conference paper2008-2009 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

Effect of reconstruction and filtering on kinetic parameter estimation bias and reliability for dynamic SPECT : a simulation study

Author name used in this publication: Dagan FengCentre for Multimedia Signal Processing, Department of Electronic and Information Engineering2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Classification of dementia from FDG-PET parametric images using data mining

Author name used in this publication: Michael FulhamAuthor name used in this publication: (David) Dagan FengCentre for Multimedia Signal Processing, Department of Electronic and Information EngineeringRefereed conference paper2007-2008 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

Constructing reliable parametric images using enhanced GLLS for dynamic SPECT

Author name used in this publication: (David) Dagan Feng2008-2009 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Optimized acquisition time and image sampling for dynamic SPECT of Tl-201

Author name used in this publication: Dagan FengAuthor name used in this publication: Pak-Kong LunVersion of RecordPublishe

Classification of dementia from FDG-PET parametric images using data mining

It remains a challenge to identify the different types of dementia and separate these from various subtypes from the normal effects of ageing. In this paper the potential of parametric images from FDG-PET studies to aid the classification of dementia using data mining techniques was investigated. Scalar, joint, histogram and voxel-level features were used in the investigation with principal component analysis (PCA) for dimensionality reduction. The logistic regression model and the additive logistic regression model were applied in the classification. The results show that cerebral metabolic rate of glucose consumption (CMRGlc) was efficient in the classification of dementia and data mining using voxel-level features with PCA and the logistic regression model method achieving the best classification.Department of Electronic and Information EngineeringAuthor name used in this publication: Michael FulhamAuthor name used in this publication: (David) Dagan FengCentre for Multimedia Signal Processing, Department of Electronic and Information EngineeringRefereed conference pape