R. Maenner

A Fast Integer Binary Logarithm of Large Arguments

Simple and fast (10¿), this new procedure requires no hardware and features a 10-6 approximation error.

MONNET: a software system for modular neural networks based on object passing

Modular neural networks integrate several neural networks and possibly standard processing methods. Tackling such models is a challenge, since various modules have to be combined, either sequentially or in parallel, and the simulations are time critical in many cases. For this, specific tools are prerequisite that are both flexible and efficient. We have developed the MONNET software system that supports the investigation of complex modular models. The design of MONNET is based on the object oriented paradigm, the environment is C++/UNIX. The basic concepts are dynamic modularity, object passing, scalability, reusability, and extensibility. MONNET features flexible and compact definition of complex simulations, and minimal overhead in order to run computationally demanding simulations efficiently.

Multiprocessor System In Medical Imaging

Computer systems capable of processing digital data from high-resolution microscopic imagery at very high data rates in an economically feasible manner are needed for prescreening clinical samples from a well-population for the early onset of disease and for examining biologic monitoring systems for adverse environmental effects. In this paper a description is given of the application of a microprocessor-based multiprocessor system (the Heidelberg POLYP polyprocessor) to chromosome aberration scoring in biologic dosimetry and to the screening of monolayer cell preparations such as those prepared for cancer prescreening. The POLYP system is characterized by the grouping of processors under software control, by multiple data buses, and by a syncbus that dynamically adjusts priority scheduling among processors, thus eliminating, for all practical purposes, the usual bus bandwidth limitations.

A 3D/4D freehand ultrasound system for cardiac modelling and analysis

In this work we present a prototype of a precise freehand 3D/4D ultrasound imaging system equipped with an universal wireless 3D tracker for digitizing spatial coordinates of an ultrasonic transducer, consider the system calibration using a plane phantom and carry out validation of the setup on a pig heart specimen. The system basic functionality, features and an application for cardiac purposes are described. Considering a number of visualization techniques used in the system, we demonstrate an alternative method of the surface reconstruction for sparse ultrasound data based on the active contour model.

Fast Dual-Point Hough Transform for medical object recognition

In this paper we introduce a new object recognition method for detecting objects of arbitrary shapes based on a combination of the Fast Hough Transform (FHT) and the Dual-Point Generalized Hough Transform (DPGHT). We validate the proposed approach on medical images (cryosection, US, MRI) and describe its basic features. The proposed algorithm is robust, low memory consumptive and utilizes the advantages of the both FHT and DPGHT that makes it a good solution for medical object recognition applications.