Skull segmentation and reconstruction from newborn CT images using coupled level sets

S Ghadimi, HA Moghaddam, R Grebe… - IEEE journal of …, 2015 - ieeexplore.ieee.org
This study presents a new approach for segmentation and reconstruction of newborn's skull
including bones, fontanels, and sutures from computed tomography (CT) images. The …

Quantitative effect of the neonatal fontanel on synthetic near infrared spectroscopy measurements

M Dehaes, K Kazemi, M Pélégrini‐Issac… - Human brain …, 2013 - Wiley Online Library
Near infrared spectroscopy (NIRS) is a functional imaging technique allowing measurement
of local cerebral oxygenation. This modality is particularly adapted to critically ill neonates …

Automatic intracranial space segmentation for computed tomography brain images

C Adamson, AC Da Costa, R Beare, AG Wood - Journal of digital imaging, 2013 - Springer
Craniofacial disorders are routinely diagnosed using computed tomography imaging.
Corrective surgery is often performed early in life to restore the skull to a more normal shape …

An Efficient Algorithm Optimization of CT Images Segmentation Based on K-Means Clustering

GQ Ma, XJ Wang - Applied Mechanics and Materials, 2014 - Trans Tech Publ
Computer tomography image (CT Image) segmentation algorithms have a number of
advantages. However, most of these image segmentation algorithms suffer from long …

Segmentation of Small Animal Computed Tomography Images Using Original CT Values and Converted Grayscale Values

G Ma, N Li, X Wang - … and Computing Technologies in Agriculture VII: 7th …, 2014 - Springer
Medical image segmentation is the foundation of normal and diseased tissue 3D
visualization, operation simulation and visual operation. In this paper, we comprehensively …

The quantitative assessment of the pre-and postoperative craniosynostosis using the methods of image analysis

A Fabijańska, T Węgliński - Computerized Medical Imaging and Graphics, 2015 - Elsevier
This paper considers the problem of the CT based quantitative assessment of the
craniosynostosis before and after the surgery. First, fast and efficient brain segmentation …

Optimization of k-means clustering segmentation in head CT images

GQ Ma, XJ Wang, XL Li - Applied Mechanics and Materials, 2013 - Trans Tech Publ
We optimized the k-clustering program with MATLAB language in order to improve the
stability and quality of k-clustering algorithm in medical CT image segmentation. One …