2016
DOI: 10.1016/j.neucom.2015.10.047
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Quasi-conformal statistical shape analysis of hippocampal surfaces for Alzheimer׳s disease analysis

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Cited by 21 publications
(13 citation statements)
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“…The main factors causing the disease are not known. However, it is clear that AD is a nonstop disease; therefore, the patient's death is inevitable (Chan et al, 2016). Many treatment treatment strategies have been developed for AD so far; however, the progression of the disease could not be stopped (Zhao et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The main factors causing the disease are not known. However, it is clear that AD is a nonstop disease; therefore, the patient's death is inevitable (Chan et al, 2016). Many treatment treatment strategies have been developed for AD so far; however, the progression of the disease could not be stopped (Zhao et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The deformation map is obtained by finding an optimal quasiconformal mapping. Quasiconformal mappings have been widely used for different imaging tasks [45], including image registration [58,20,59,42,56,41] and image analysis [18,9,19,47,60]. Since the deformation map is bijective, the topology-preserving property can be guaranteed.…”
Section: Introductionmentioning
confidence: 99%
“…This inaccuracy may compromise the comparison between the geometry of different tooth shapes. In recent years, conformal and quasi-conformal mappings have been considered for the analysis of medical and biological shapes such as brain cortical surfaces [11,12], hippocampi [13,14], vestibular systems [15], carotid arteries [16] and insect wings [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Illustration of our framework is done by applying the new algorithms to a dataset of tooth occlusal surfaces from Indigenous Australians [19] and Australians of European ancestry [20] (see Figure 1 for examples). More specifically, to capture and quantify the shape differences between the 3D surfaces in terms of the overall shape, the curvature and the positions of the anatomical landmarks, we extend our previous work on landmark-matching Teichmüller map [21] to achieve an accurate 1-1 mapping between them, and further develop a quasi-conformal shape analysis model based on our previous work [14] for performing a classification. The classification results for the tooth Figure 1: Examples of the second upper premolar occlusal surfaces from two populations in Australia [19,20], with four landmarks of the buccal cusp, the lingual cusp, the mesial fossa pit and the distal fossa pit highlighted in red.…”
Section: Introductionmentioning
confidence: 99%