Comparison and evaluation of methods for liver segmentation from CT datasets
This paper presents a comparison study between 10 automatic and six interactive methods
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
[BOOK][B] Statistical models of shape: Optimisation and evaluation
The goal of image interpretation is to convert raw image data into me-ingful information.
Images are often interpreted manually. In medicine, for example, a radiologist looks at a …
Images are often interpreted manually. In medicine, for example, a radiologist looks at a …
Building 3-D statistical shape models by direct optimization
Statistical shape models are powerful tools for image interpretation and shape analysis. A
simple, yet effective, way of building such models is to capture the statistics of sampled point …
simple, yet effective, way of building such models is to capture the statistics of sampled point …
Automatic quantification of subcutaneous and visceral adipose tissue from whole‐body magnetic resonance images suitable for large cohort studies
Purpose: To develop an automated method with which to distinguish metabolically different
adipose tissues in a large number of subjects using whole‐body magnetic resonance …
adipose tissues in a large number of subjects using whole‐body magnetic resonance …
[PDF][PDF] A statistical deformable model for the segmentation of liver CT volumes
We present a fully automated method based on an evolutionary algorithm, a statistical shape
model (SSM), and a deformable mesh to tackle the liver segmentation task of the MICCAI …
model (SSM), and a deformable mesh to tackle the liver segmentation task of the MICCAI …
Segmenting CT prostate images using population and patient‐specific statistics for radiotherapy
Q Feng, M Foskey, W Chen, D Shen - Medical physics, 2010 - Wiley Online Library
Purpose: In the segmentation of sequential treatment‐time CT prostate images acquired in
image‐guided radiotherapy, accurately capturing the intrapatient variation of the patient …
image‐guided radiotherapy, accurately capturing the intrapatient variation of the patient …
[HTML][HTML] Automatic liver segmentation on computed tomography using random walkers for treatment planning
Segmentation of the liver from Computed Tomography (CT) volumes plays an important role
during the choice of treatment strategies for liver diseases. Despite lots of attention, liver …
during the choice of treatment strategies for liver diseases. Despite lots of attention, liver …
Entropy-based particle correspondence for shape populations
Purpose Statistical shape analysis of anatomical structures plays an important role in many
medical image analysis applications such as understanding the structural changes in …
medical image analysis applications such as understanding the structural changes in …
Comparison of T1-weighted 2D TSE, 3D SPGR, and two-point 3D Dixon MRI for automated segmentation of visceral adipose tissue at 3 Tesla
Objectives To evaluate and compare conventional T1-weighted 2D turbo spin echo (TSE),
T1-weighted 3D volumetric interpolated breath-hold examination (VIBE), and two-point 3D …
T1-weighted 3D volumetric interpolated breath-hold examination (VIBE), and two-point 3D …
The probabilistic active shape model: from model construction to flexible medical image segmentation
M Kirschner - 2013 - diglib.eg.org
Automatic processing of three-dimensional image data acquired with computed tomography
or magnetic resonance imaging plays an increasingly important role in medicine. For …
or magnetic resonance imaging plays an increasingly important role in medicine. For …