Results 11 to 20 of about 573,105 (295)

A Statistical Shape Model for the Liver [PDF]

open access: yes, 2002
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set of segmented instances of an object is the determination of the correspondence between them.
Hans Lamecker   +2 more
openaire   +2 more sources

Building a Statistical Shape Model of the Apple from Corresponded Surfaces

open access: yesChemical Engineering Transactions, 2015
In this paper, a method for building a 3D statistical shape model of the apple is described. The framework consists of two parts. First, a reference surface is registered to each apple surface, derived from 3D CT scans of apples, of the population to ...
F. Danckaers   +5 more
doaj   +3 more sources

An Annotation-Free Pipeline for 3D Auricular Bowl Atlas Construction and Statistical Shape Modelling from Surface Scans [PDF]

open access: yesSensors
Three-dimensional (3D) ear morphology is critical for the design of in-the-ear hearing aids, earphones, transcutaneous auricular vagus nerve stimulation (taVNS) electrodes, and auricular reconstruction, yet most existing ear shape models still rely on ...
Tongxu Zhang   +4 more
doaj   +2 more sources

Statistical Shape Modeling of the Clavicle: Morphological Variation, Sex Differences, and Surgical Implications [PDF]

open access: yesOrthopaedic Surgery
Objectives Clavicle fracture fixation is frequently complicated by implant mismatch and mechanical failure due to the complex and highly variable S‐shaped anatomy of the clavicle.
Gang Zhang   +6 more
doaj   +2 more sources

Diffeomorphic Statistical Shape Models [PDF]

open access: yesProcedings of the British Machine Vision Conference 2004, 2004
We describe a method of constructing parametric statistical models of shape variation which can generate continuous diffeomorphic (non-folding) deformation fields. Traditional statistical shape models are constructed by analysis of the positions of a set of landmark points.
Timothy F. Cootes   +2 more
openaire   +2 more sources

A Statistical Shape-Based Patient-Specific Anatomical Structure Model

open access: yesIEEE Access, 2022
A patient-specific anatomical structure model has been widely used in many medical applications. However, in practical applications, to effectively construct a patient-specific anatomical structure model is a challenge, the reasons are: 1) the manual ...
Zhuye Xu, Xiaoqiang Zhao
doaj   +1 more source

A shape-partitioned statistical shape model for highly deformed femurs using X-ray images

open access: yesComputer Assisted Surgery, 2022
To develop a patient-specific 3 D reconstruction of a femur modeled using the statistical shape model (SSM) and X-ray images, it is assumed that the target shape is not outside the range of variations allowed by the SSM built from a training dataset.
Jongho Chien   +3 more
doaj   +1 more source

Camera Motion Agnostic Method for Estimating 3D Human Poses

open access: yesSensors, 2022
Although the performance of 3D human pose and shape estimation methods has improved considerably in recent years, existing approaches typically generate 3D poses defined in a camera or human-centered coordinate system. This makes it difficult to estimate
Seong Hyun Kim   +3 more
doaj   +1 more source

Reliability Estimation for Statistical Shape Models [PDF]

open access: yesIEEE Transactions on Image Processing, 2008
One of the drawbacks of statistical shape models is their occasional failure to converge. Although visually this fact is usually easy to recognize, there is no automatic way to detect it. In this paper, we introduce a generic reliability measure for statistical shape models. It is based on a probabilistic framework and uses information extracted by the
Federico Sukno, Alejandro F. Frangi
openaire   +2 more sources

MODEL-ORDER SELECTION IN STATISTICAL SHAPE MODELS [PDF]

open access: yes2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), 2018
To appear in 2018 IEEE International Workshop on Machine Learning for Signal Processing, Sept.\ 17--20, 2018, Aalborg ...
Alma Eguizabal   +2 more
openaire   +3 more sources

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