scholarly journals Elastic model based non-rigid registration incorporating statistical shape information

1998 ◽  
pp. 1162-1173 ◽  
Author(s):  
Yongmei Wang ◽  
Lawrence H. Staib
Keyword(s):  
Elastic Model ◽  
Shape Information ◽  
Rigid Registration ◽  
Model Based ◽  
Statistical Shape

Semantic Interoperability of GD&T Data Through ISO 10303 Step AP242

2016 ◽  
Author(s):  
Adarsh Venkiteswaran ◽  
Sayed Mohammad Hejazi ◽  
Deepanjan Biswas ◽  
Jami J. Shah ◽  
Joseph K. Davidson
Keyword(s):  
Data Exchange ◽  
Smart Manufacturing ◽  
Context Model ◽  
Product Model ◽  
Shape Information ◽  
Computer Aided Process Planning ◽  
Model Based ◽  
Computer Aided ◽  
Iso 10303 ◽  
Manufacturing Applications

Industries are continuously trying to improve the time to market through automation and optimization of existing product development processes. Large companies vow to save significant time and resources through seamless communication of data between design, manufacturing, supply chain and quality assurance teams. In this context, Model Based Definition/Engineering (MBD) / (MBE) has gained popularity, particularly in its effort to replace traditional engineering drawings and documentations with a unified digital product model in a multi-disciplinary environment. Widely used 3D data exchange models (STEP AP 203, 214) contains mere shape information, which does not provide much value for reuse in downstream manufacturing applications. However, the latest STEP AP 242 (ISO 10303-242) “Managed model based 3D engineering” aims to support smart manufacturing by capturing semantic Product Manufacturing Information (PMI) within the 3D model and also helping with long-term archival. As a primary, for interoperability of Geometric Dimensions & Tolerances (GD&T) through AP 242, CAx Implementor Forum has published a set of recommended practices for the implementation of a translator. In line with these recommendations, this paper discusses the implementation of an AP 203 to AP 242 translator by attaching semantic GD&T available in an in-house Constraint Tolerance Graph (CTF) file. Further, semantic GD&T data can be automatically consumed by downstream applications such as Computer Aided Process Planning (CAPP), Computer Aided Inspection (CAI), Computer Aided Tolerance Systems (CATS) and Coordinate Measuring Machines (CMM). Also, this paper will briefly touch base on the important elements that will constitute a comprehensive product data model for model-based interoperability.

Elastic model-based segmentation of 3-D neuroradiological data sets

1999 ◽  
Vol 18 (10) ◽  
pp. 828-839 ◽  
Author(s):  
A. Kelemen ◽  
G. Szekely ◽  
G. Gerig
Keyword(s):  
Elastic Model ◽  
Data Sets ◽  
Model Based

scholarly journals Segmentation of human skull in MRI using statistical shape information from CT data

2009 ◽  
Vol 30 (3) ◽  
pp. 490-498 ◽  
Author(s):  
Defeng Wang ◽  
Lin Shi ◽  
Winnie C.W. Chu ◽  
Jack C.Y. Cheng ◽  
Pheng Ann Heng
Keyword(s):  
Shape Information ◽  
Human Skull ◽  
Statistical Shape ◽  
Ct Data

Statistical shape model-based planning organ-at-risk volume: application to pancreatic cancer patients

2020 ◽  
Author(s):  
Mitsuhiro Nakamura ◽  
Megumi Nakao ◽  
Nobutaka Mukumoto ◽  
Ryo Ashida ◽  
Hideaki Hirashima ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
At Risk ◽  
Cancer Patients ◽  
Statistical Shape Model ◽  
Shape Model ◽  
Model Based ◽  
Statistical Shape ◽  
Organ At Risk

scholarly journals Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy

2014 ◽  
Vol 47 (1) ◽  
pp. 122-129 ◽  
Author(s):  
Nora Baka ◽  
Bart L. Kaptein ◽  
J. Erik Giphart ◽  
Marius Staring ◽  
Marleen de Bruijne ◽  
...  
Keyword(s):  
Knee Kinematics ◽  
Statistical Shape Model ◽  
Shape Model ◽  
Model Based ◽  
Statistical Shape ◽  
Biplane Fluoroscopy
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