A scalable intermediate representation for remote interaction with soft tissues.

A scalable, internet aware "intermediate representation" has been developed for remote interactive simulation of large deformable models. Further a networked computational environment is presented in which commodity computers tele-connect to remote high end servers using real-time protocol to utilize their processing power to enable highly realistic and detailed simulation of surgical scenarios. This proposed intermediate representation ("hive" (set) of computational nodes associated with surgical tool tip) can be tuned to the computational capacity of the client computer and is also scalable to the quality of the available network resources (bandwidth, delay, delay jitter) for the connection between client and server.

Automatic selection of parameters for vessel/neurite segmentation algorithms.

An automated method is presented for selecting optimal parameter settings for vessel/neurite segmentation algorithms using the minimum description length principle and a recursive random search algorithm. It trades off a probabilistic measure of image-content coverage against its conciseness. It enables nonexpert users to select parameter settings objectively, without knowledge of underlying algorithms, broadening the applicability of the segmentation algorithm, and delivering higher morphometric accuracy.