Statistical shape analyses of trigonocephaly patients

2019 ◽  
Vol 36 (2) ◽  
pp. 379-384
Author(s):  
M. Özgür Taşkapılıoğlu ◽  
Gökhan Ocakoğlu ◽  
Seçkin Kaya ◽  
Duygu Baykal ◽  
Zeynep Yazıcı
Keyword(s):  
Statistical Shape ◽  
Shape Analyses

scholarly journals Statistical shape analyses of patients with scaphocephaly after surgical remodeling

2019 ◽  
Author(s):  
Gokhan Ocakoglu ◽  
Mevlut Ozgur Taskapilioglu ◽  
Seckin Kaya ◽  
Zeynep Yazici
Keyword(s):  
Statistical Shape ◽  
Shape Analyses

Statistical shape analyses of corpus callosum changes at preoperative and postoperative scaphocephaly patients

2022 ◽  
Author(s):  
Yasin Böcü ◽  
Hakan Karabağli ◽  
Mevlüt Özgür Taşkapilioğlu ◽  
Gökhan Ocakoğlu
Keyword(s):  
Corpus Callosum ◽  
Statistical Shape ◽  
Shape Analyses

Statistical shape analyses of the brainstem in chiari patients

2020 ◽  
Author(s):  
Gokhan Ocakoglu ◽  
Mevlut Ozgur Taskapilioglu ◽  
Oguz Altunyuva ◽  
Selcuk Yilmazlar
Keyword(s):  
Statistical Shape ◽  
Shape Analyses

Deformation-based Statistical Shape Analysis of the Corpus Callosum in Mild Cognitive Impairment and Alzheimer’s Disease

2018 ◽  
Vol 15 (12) ◽  
pp. 1151-1160 ◽  
Author(s):  
Zihan Jiang ◽  
Huilin Yang ◽  
Xiaoying Tang
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Corpus Callosum ◽  
Shape Analysis ◽  
Disease Assessment ◽  
Statistical Shape Analysis ◽  
Superior Part ◽  
Statistical Shape

Objective: In this study, we investigated the influence that the pathology of Alzheimer’s disease (AD) exerts upon the corpus callosum (CC) using a total of 325 mild cognitive impairment (MCI) subjects, 155 AD subjects, and 185 healthy control (HC) subjects. Method: Regionally-specific morphological CC abnormalities, as induced by AD, were quantified using a large deformation diffeomorphic metric curve mapping based statistical shape analysis pipeline. We also quantified the association between the CC shape phenotype and two cognitive measures; the Mini Mental State Examination (MMSE) and the Alzheimer’s Disease Assessment Scale-Cognitive Behavior Section (ADAS-cog). To identify AD-relevant areas, CC was sub-divided into three subregions; the genu, body, and splenium (gCC, bCC, and sCC). Results: We observed significant shape compressions in AD relative to that in HC, mainly concentrated on the superior part of CC, across all three sub-regions. The HC-vs-MCI shape abnormalities were also concentrated on the superior part, but mainly occurred on bCC and sCC. The significant MCI-vs-AD shape differences, however, were only detected in part of sCC. In the shape-cognition association, significant negative correlations to ADAS-cog were detected for shape deformations at regions belonging to gCC and sCC and significant positive correlations to MMSE at regions mainly belonging to sCC. Conclusion: Our results suggest that the callosal shape deformation patterns, especially those of sCC, linked tightly to the cognitive decline in AD, and are potentially a powerful biomarker for monitoring the progression of AD.

Statistical Shape and Pose Model of the Forearm for Custom Splint Design

2021 ◽  
Author(s):  
Femke Danckaers ◽  
Jeroen Van Houtte ◽  
Brian G. Booth ◽  
Frederik Verstreken ◽  
Jan Sijbers
Keyword(s):  
Statistical Shape

A framework for the merging of pre-existing and correspondenceless 3D statistical shape models

2014 ◽  
Vol 18 (7) ◽  
pp. 1044-1058 ◽  
Author(s):  
Marco Pereañez ◽  
Karim Lekadir ◽  
Constantine Butakoff ◽  
Corné Hoogendoorn ◽  
Alejandro F. Frangi
Keyword(s):  
Statistical Shape Models ◽  
Shape Models ◽  
Statistical Shape
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