IPMI
2003
Springer
13 years 9 months ago
2003
Springer
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
IPMI
2003
Springer
13 years 9 months ago
2003
Springer
This work presents an efficient and automated method to extract the human cerebral ventricular system from MRI driven by anatomic knowledge. The ventricular system is divided into ...
IPMI
2003
Springer
13 years 9 months ago
2003
Springer
The presence of speckle in ultrasound images makes it hard to segment them using active contours. Speckle causes the energy function of the active contours to have many local minim...
IPMI
2003
Springer
13 years 9 months ago
2003
Springer
We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of signal-detection information. Due t...
IPMI
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Magnetic resonance tagging is used to quantify and visualize myocardial motion. The lack of tag persistence, however, is often a problem in visualizing motion throughout ...
IPMI
2003
Springer
13 years 9 months ago
2003
Springer
In this paper, a novel region growing algorithm for segmenting burn wounds in digital photographs of the skin is presented. This segmentation step has been developed as part of a C...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
In this paper we develop a novel measure of information in a random variable based on its cumulative distribution that we dub cumulative residual entropy (CRE). This measure parall...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implici...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...