Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images
Y Deng, L Wang, C Zhao, S Tang, X Cheng… - Medical & biological …, 2022 - Springer
Automatic CT segmentation of proximal femur has a great potential for use in orthopedic
diseases, especially in the imaging-based assessments of hip fracture risk. In this study, we …
diseases, especially in the imaging-based assessments of hip fracture risk. In this study, we …
Statistical shape modeling of skeletal anatomy for sex discrimination: their training size, sexual dimorphism, and asymmetry
EA Audenaert, C Pattyn, G Steenackers… - … in bioengineering and …, 2019 - frontiersin.org
Purpose: Statistical shape modeling provides a powerful tool for describing and analyzing
human anatomy. By linearly combining the variance of the shape of a population of a given …
human anatomy. By linearly combining the variance of the shape of a population of a given …
Cascaded statistical shape model based segmentation of the full lower limb in CT
EA Audenaert, J Van Houcke, DF Almeida… - Computer methods in …, 2019 - Taylor & Francis
Image segmentation has become an important tool in orthopedic and biomechanical
research. However, it greatly remains a time-consuming and laborious task. In this …
research. However, it greatly remains a time-consuming and laborious task. In this …
The effect of articular geometry features identified using statistical shape modelling on knee biomechanics
Articular geometry in the knee varies widely among people which has implications for risk of
injury and pathology. The goals of this work were to develop a framework to systematically …
injury and pathology. The goals of this work were to develop a framework to systematically …
Reliability and correlation analysis of computed methods to convert conventional 2D radiological hindfoot measurements to a 3D setting using weightbearing CT
Purpose The exact radiographic assessment of the hindfoot alignment remains challenging.
This is reflected in the different measurement methods available. Weightbearing CT (WBCT) …
This is reflected in the different measurement methods available. Weightbearing CT (WBCT) …
Templating of syndesmotic ankle lesions by use of 3D analysis in weightbearing and nonweightbearing CT
Background: Diagnosis and operative treatment of syndesmotic ankle injuries remain
challenging due to the limitations of 2-dimensional imaging. The aim of this study was …
challenging due to the limitations of 2-dimensional imaging. The aim of this study was …
Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles
Manual segmentation, which is tedious, time-consuming, and operator-dependent, is
currently used as the gold standard to validate automatic and semiautomatic methods that …
currently used as the gold standard to validate automatic and semiautomatic methods that …
Femurs segmentation by machine learning from CT scans combined with autonomous finite elements in orthopedic and endocrinology applications
Efficient, accurate and reliable segmentation of femurs from CT-scans is of major importance
for patient-specific autonomous finite element analysis (AFE) to determine bone's stiffness …
for patient-specific autonomous finite element analysis (AFE) to determine bone's stiffness …
Three-dimensional feature-enhanced network for automatic femur segmentation
F Chen, J Liu, Z Zhao, M Zhu… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Automatic femur segmentation from computed tomography volume is a crucial but
challenging task for computer-aided diagnosis in orthopedic surgeries. The main obstacles …
challenging task for computer-aided diagnosis in orthopedic surgeries. The main obstacles …