PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 8798078

A PC-based ultrasonic data acquisition system for computer-aided prosthetic socket design.

P He·K Xue·Q Chen·P Murka·S Schall
View original source ↗Export metadata ↓

Abstract

A PC-based ultrasound data acquisition system has been developed which uses compound scanning techniques to image a residual limb in a water tank. From the received ultrasonic eco data, the system produces cross-sectional images and reconstructs a three-dimensional (3-D) model of the limb. A commercial software for computer-aided prosthetic socket design was modified so that it can display both the external shape and cross-sectional image of the limb and allow the prosthetist to perform socket design with the help of a visualization of the limb's internal structure. The image resolution and measurement accuracy of the system were tested using a wire phantom and a contrast tissue mimicking phantom, respectively. Preliminary results from amputee patients are presented and the sources of measurement error are discussed.

Explore related subjects

Computer-Aided DesignFeasibility StudiesHumansMicrocomputersProstheses and ImplantsProsthesis DesignSoftwareUltrasonographyJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P He, K Xue, Q Chen, P Murka, S Schall. 1996. A PC-based ultrasonic data acquisition system for computer-aided prosthetic socket design.. https://doi.org/10.1109/86.506408

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed1998

Substituting nonpeptidic spacers for the T cell receptor-binding part of class I major histocompatibility complex-binding peptides.

X-ray diffraction studies as well as structure-activity relationships indicate that the central part of class I major histocompatibility complex (MHC)-binding nonapeptides represents the main interaction site for a T cell receptor. In order to rationally manipulate T cell epitopes, three nonpeptidic spacers have been designed from the x-ray structure of a MHC-peptide complex and substituted for the T cell receptor-binding part of several antigenic peptides. The binding of the modified epitopes to the human leukocyte antigen-B*2705 protein was studied by an in vitro stabilization assay, and the thermal stability of all complexes was examined by circular dichroism spectroscopy. Depending on their chemical nature and length, the introduced spacers may be classified into two categories. Monofunctional spacers (11-amino undecanoate, (R)-3-hydroxybutyrate trimer) simply link two anchoring peptide positions (P3 and P9) but loosely contact the MHC binding groove and thus decrease more or less the affinity of the altered epitopes to human leukocyte antigen-B*2705. A bifunctional spacer ((R)-3-hydroxybutyrate tetramer) not only bridges the two distant anchoring amino acids but also strongly interacts with the binding cleft and leads to a 5-fold increase in binding to the MHC protein. To our knowledge, this is the first report of a nonpeptidic modification of T-cell receptor binding residues that significantly enhances the binding of altered peptide ligands to their host MHC protein. The presented modified ligands constitute interesting tools for perturbing the T cell response to the parent antigenic peptide.

Computer-Aided Design↗
PubMed1998

Computer-assisted milling of dental restorations using a new CAD/CAM data acquisition system.

BACKGROUND: Recent technologic innovations have created possibilities for restorative dentistry, such as computer-aided design and computer-aided manufacturing (CAD/CAM). PURPOSE: This article presents a new CAD/CAM process that has been developed for the fabrication of dental restorations. METHODS: This process uses an improved imaging technique, successfully applied in other industries. Imaging is accomplished with 2-dimensional line grids projected onto an object, which allows for a mathematical reproduction of prepared and unprepared tooth surfaces, including those that are outside the direct line of light. The relative position of the sensor to the surface of the object is controlled automatically. CONCLUSIONS: This system, which is undergoing clinical testing, allows the generation of various types of highly accurate dental restorations (inlays, onlays, crown, and fixed partial dentures) from a number of different materials. Acquired digitized data points are directly translated from the sensor to the electronic controls of the milling machine to provide various manufacturing possibilities, including copy milling and accurate reproduction of occlusal tooth surfaces in various materials.

Computer-Aided Design↗
PubMed1998

Artificial neural networks for computer-based molecular design.

The theory of artificial neural networks is briefly reviewed focusing on supervised and unsupervised techniques which have great impact on current chemical applications. An introduction to molecular descriptors and representation schemes is given. In addition, worked examples of recent advances in this field are highlighted and pioneering publications are discussed. Applications of several types of artificial neural networks to compound classification, modelling of structure-activity relationships, biological target identification, and feature extraction from biopolymers are presented and compared to other techniques. Advantages and limitations of neural networks for computer-aided molecular design and sequence analysis are discussed.

Computer-Aided Design↗