Bartosz von Rymon-Lipinski

Efficient Point-Based Isosurface Exploration Using the Span-Triangle

We introduce a novel span-triangle data structure, based on the span-space representation for isosurfaces. It stores all necessary cell information for dynamic manipulation of the isovalue in an efficient way. We have found that using our data structure in combination with point-based techniques, implemented on graphics hardware, effects in real-time rendering and exploration. Our extraction algorithm utilizes an incremental and progressive update scheme, enabling smooth interaction without significant latency. Moreover, the corresponding visualization pipeline is capable of processing large data sets by utilizing all three levels of memory: disk, system and graphics. We address practical usability in actual medical applications, achieving a new level of interactivity.

JULIUS - An Extendable Software Framework for Surgical Planning and Image-Guided Navigation

In this paper we introduce the extendable and cross-platform software framework JULIUS, which will become public available by the end of this year. JULIUS consists of three conceptual layers and provides diverse assistance for medical visualization, surgical planning and image-guided navigation. The system features a modular and portable design and combines both pre-operative planning and intra-operative assistance within one single environment.

Extendable application framework for medical visualization and surgical planning

This paper introduces an extendable cross-platform software framework Julius for medical visualization and surgical planning, consisting of two conceptual layers: the Julius Software Development Kit (JSDK) and the Julius Graphical User Interface (JGUI). The JSDK can be used stand-alone to speed up development of research tools. While the JGUI acts like a front end for the JSDK and offers easy handling combined with time-saving functionality to increase performance and productivity. Julius features a modular, cross-platform design and comes with a full set of components, like semi-automatic segmentation, registration, visualization and navigation.

Computer-aided osteotomy design for harvesting autologous bone grafts in reconstructive surgery

Autologous grafts serve as the standard grafting material in the treatment of maxillofacial bone tumors, traumatic defects or congenital malformations. The pre-selection of a donor site depends primarily on the morphological fit of the available bone mass and the shape of the part that has to be transplanted. To achieve sufficient incorporation of the autograft into the host bone, precise planning and simulation of the surgical intervention based on 3D CT studies is required. This paper presents a method to identify an optimal donor site by performing an optimization of appropriate similarity measures between donor region and a given transplant. At the initial stage the surgeon has to delineate the osteotomy border lines in the template CT data set and to define a set of constraints for the optimization of appropriate similarity measures between donor region and a given transplant. At the initial stage the surgeon has to delineate the osteotomy border lines in the template CT data set and to define a set of constraints for the optimization task in the donor site CT data set. The following fully automatic optimization stage delivers a set of sub-optimal and optimal donor sites for a given template. All generated solutions can be explored interactively on the computer display using an efficient graphical interface. Reconstructive operations supported by our system were performed on 28 patients. We found that the operation time can be considerably shortened by this approach.

An open software framework for medical applications

In this paper we introduce the extendible and cross-platform software framework Julius. Julius combines both pre-operative planning and intraoperative assistance within one single environment. In this paper we discuss three aspects of Julius: the medical data processing, the visualization pipeline and the interaction. Each aspect provides interfaces that allow to extend the application with own algorithms and to build complex applications. We believe that this approach facilitates the development of image guided navigation and simulation procedures for computer-aided-surgery.

JULIUS - An Extendable Application Framework for Medical Visualization and Surgical Planning

In this paper we introduce the extendable cross-platform software framework Julius for medical visualization and surgical planning, consisting of two conceptual layers: the Julius Software Development Kit (JSDK) and its front-end the Julius Graphical User Interface (JGUI). Julius features a modular, platform-independent design and includes a full set of components, like semi-automatic segmentation, registration, visualization and navigation.

Integrating the Insight Toolkit itk into a medical software framework

In this paper, we present the integration of an image processing toolkit into our platform-independent medical software framework Julius. The Insight Toolkit (itk) consists of state-of-the-art segmentation and registration methods, focused on medical applications. In this paper, the focus lies on the integration of the segmentation methods.Each processing filter of the segmentation toolkit is represented as an individual element in the user interface. The central part of every segmentation routine is the anatomical list, which is fully customizable. By clicking on an anatomical entity in this list, the user is guided during the segmentation of the corresponding structure. This guidance is directly dependent on the underlying modality as well as the selected anatomical structure itself.