A5065463380- Computer Graphics and Visualization Techniques
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Advanced Radiotherapy Techniques
- Liver Disease Diagnosis and Treatment
- Image and Video Quality Assessment
- AI in cancer detection
- Advanced MRI Techniques and Applications
- Ultrasound and Hyperthermia Applications
- Distributed and Parallel Computing Systems
- Heat shock proteins research
- Surgical Simulation and Training
- Scientific Computing and Data Management
- Medical Imaging and Pathology Studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Augmented Reality Applications
- Atomic and Subatomic Physics Research
- Artificial Intelligence in Healthcare and Education
- Computational Geometry and Mesh Generation
- Ovarian cancer diagnosis and treatment
- 3D Printing in Biomedical Research
- Digital Mental Health Interventions
Graz University of Technology
2012-2023
VRVis GmbH (Austria)
2023
Institute of Computer Vision and Applied Computer Sciences
2012-2015
The RFA Guardian is a comprehensive application for high-performance patient-specific simulation of radiofrequency ablation liver tumors. We address wide range usage scenarios. These include pre-interventional planning, sampling the parameter space uncertainty estimation, treatment evaluation and, in worst case, failure analysis. first its kind that exhibits sufficient performance simulating outcomes during intervention. achieve this by combining large number image processing, biomechanical...
Streaming high quality rendering for virtual reality applications requires minimizing perceived latency. We introduce Shading Atlas (SAS), a novel object-space framework suitable streaming content. SAS decouples server-side shading from client-side rendering, allowing the client to perform framerate upsampling and latency compensation autonomously short periods of time. The information created by server in object space is temporally coherent can be efficiently compressed using standard MPEG...
Temporal coherence has the potential to enable a huge reduction of shading costs in rendering. Existing techniques focus either only on spatial reuse or cannot adaptively choose temporal frequencies. We find that is possible for extended periods time majority samples, and we show under which circumstances users perceive artifacts. Our analysis implies can approximate gradients efficiently determine when how long be reused. Whereas visibility usually stays temporally coherent from frame more...
Abstract Percutaneous radiofrequency ablation (RFA) is a minimally invasive technique that destroys cancer cells by heat. The heat results from focusing energy in the spectrum through needle. Amongst others, this can enable treatment of patients who are not eligible for an open surgery. However, possibility recurrent liver due to incomplete tumor makes post-interventional monitoring via regular follow-up scans mandatory. These have be carefully inspected any conspicuousness. Within study, RF...
Radio-frequency ablation (RFA) is a promising minimal-invasive treatment option for early liver cancer, however monitoring or predicting the size of resulting tissue necrosis during RFA-procedure challenging task, potentially in significant rate under- over treatments. Currently there no reliable lesion prediction method commercially available.ClinicIMPPACT designed as multicenter-, prospective-, non-randomized clinical trial to evaluate accuracy and efficiency innovative planning simulation...
Ultrasound (US) is the most commonly used liver imaging modality worldwide. It plays an important role in follow-up of cancer patients with metastases. We present interactive segmentation approach for tumors US acquisitions. Due to low image quality and contrast between surrounding tissue images, very challenging. Thus, clinical practice still relies on manual measurement outlining images. target this problem by applying algorithm data, allowing user get real-time feedback results. The has...
Abstract We propose a technique to build the irradiance cache for isotropic scattering simultaneously with Monte Carlo progressive direct volume rendering on single GPU, which allows us achieve up four times increased convergence rate complex scenes arbitrary sources of light. use three procedures that run concurrently GPU. The first is main procedure. second procedure computes new entries, and third one corrects errors may arise after creation entries. two distinct approaches allow massive...
In this contribution, we present a semi-automatic segmentation algorithm for radiofrequency ablation (RFA) zones via optimal s-t-cuts. Our interactive graph-based approach builds upon polyhedron to construct the graph and was specifically designed computed tomography (CT) acquisitions from patients that had RFA treatments of Hepatocellular Carcinomas (HCC). For evaluation, used twelve post-interventional CT datasets clinical routine as evaluation metric utilized Dice Similarity Coefficient...
Data below 1 mm voxel size is getting more and common in the clinical practice but it still hard to obtain a consistent collection of such datasets for medical image processing research. With this paper we provide large Contrast Enhanced (CE) Computed Tomography (CT) data from porcine animal experiments describe their acquisition procedure peculiarities. We have acquired three CE-CT phases at highest available scanner resolution 57 livers during induced respiratory arrest. These capture...
The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create patient-specific 3D model by semi-automatic segmentation and registration pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in 2D/3D browser environment. This used to compare treatment plans device performance via built-in simulation tools. includes evaluation techniques for comparing simulated...
Visibility computation is a key element in computer graphics applications. More specifically, from-region potentially visible set (PVS) an established tool rendering acceleration, but its high computational cost means PVS almost always precomputed. Precomputation restricts the use of to static scenes and leads storage cost, particular, if we need fine-grained regions. For dynamic applications, such as streaming content over variable-bandwidth network, online with configurable region size...
Clinicians benefit from online treatment planning systems, through off-site accessibility, data sharing and professional interaction. As well as enhancing clinical value, incorporation of simulation tools affords innovative avenues for open-ended, multi-disciplinary research collaboration. An extensible system clinicians, technicians, manufacturers researchers to build on a framework is presented. This achieved using domain model that relates entities theoretical, engineering domains,...
Abstract Objectives Radiofrequency ablation (RFA) can be associated with local recurrences in the treatment of liver tumors. Data obtained at our center for an earlier multinational multicenter trial regarding in-house developed simulation software were re-evaluated order to analyze whether was able predict recurrences. Methods Twenty-seven RFA ablations either primary or secondary hepatic tumors included. Colorectal metastases shown 14 patients and hepatocellular carcinoma 13 patients....
We present a visualization application supporting interventional radiologists during analysis of simulated minimally invasive cancer treatment. The current clinical practice employs only rudimentary, manual measurement tools. Our system provides visual support throughout three evaluation stages, starting with determining prospective treatment success the simulation parameterization. In case insufficiencies, Stage 2 includes scalar field for new configuration simulation. For complex cases,...
Streaming high quality rendering for virtual reality applications requires minimizing perceived latency. We introduce Shading Atlas (SAS) [1], a novel object-space framework suitable streaming content. SAS decouples server-side shading from client-side rendering, allowing the client to perform framerate upsampling and latency compensation autonomously short periods of time. The information created by server in object space is temporally coherent can be efficiently compressed using standard...