Automatic contour propagation in cine cardiac magnetic resonance images.

We have developed a method for automatic contour propagation in cine cardiac magnetic resonance images. The method consists of a new active contour model that tries to maintain a constant contour environment by matching gray values in profiles perpendicular to the contour. Consequently, the contours should maintain a constant position with respect to neighboring anatomical structures, such that the resulting contours reflect the preferences of the user.

High-throughput screening using beta-lactamase reporter-gene technology for identification of low-molecular-weight antagonists of the human gonadotropin releasing hormone receptor.

G-protein coupled receptors (GPCRs) signal via G-proteins to intracellular second messengers. Assays that link transcription of a detectable reporter to promoters that are activated by such signaling cascades are highly sensitive and allow screening for compounds that either activate or inactivate a GPCR of interest. This study describes the development and performance of an antagonistic screen on the human gonadotropin releasing hormone receptor (GnRH-R).

Automated 3-D PDM construction from segmented images using deformable models.

In recent years, several methods have been proposed for constructing statistical shape models to aid image analysis tasks by providing a priori knowledge. Examples include principal component analysis of manually or semiautomatically placed corresponding landmarks on the learning shapes [point distribution models (PDMs)], which is time consuming and subjective. However, automatically establishing surface correspondences continues to be a difficult problem.

A discrete dynamic contour model.

A discrete dynamic model for defining contours in 2-D images is developed. The structure of this model is a set of connected vertices. With a minimum of interaction, an initial contour model can be defined, which is then automatically modified by an energy minimizing process.

Applications of three-dimensional display techniques in medical imaging.

This paper outlines some of the current uses of three-dimensional techniques in medical imaging applications and their potential for the future. As an example, three-dimensional imaging is described using a CT scanner, as it applies to a case involving craniofacial surgery. This includes defining the relationship between the requirements on the data acquisition system, as well as the specification of the hardware and software for the display.

Three-dimensional imaging in craniofacial surgery.

Over the past decade, three-dimensional (3-D) imaging has been developed to such a stage of perfection and to such a level of interactive selective imaging of specific anatomic and pathologic structures that craniofacial surgeons can now use this technique effectively in the planning of complicated reconstructive surgery. In addition, modeling techniques have been devised that can be used in surgical simulation and in the manufacture of implants and prosthetic devices. The technical aspects of 3-D imaging are discussed in relation to their applications in craniofacial surgery, and reference is made to the literature describing these techniques in full detail.

N.m.r. relaxation and images of human breast tumours in vitro.

It is found that fat and non-fatty tissue in dissected samples of the mamma differ in their T1/T2 ratios. This opens the possibility of locating tumours by n.m.

Three-dimensional skeletonization: principle and algorithm.

An algorithm is proposed for skeletonization of 3-D images. The criterion to preserve connectivity is given in two versions: global and local. The latter allows local decisions in the erosion process.