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Akad. Rätin Dr. Stefanie Demirci Coordination Master program Biomedical Computing Managing Director Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching b. München room: MI 03.13.056 phone: +49 89 289-19405 fax: +49 89 289-17059 e-mail: office hours: Mon 10 - 11am / Wed 2 - 3pm (or by email arrangement) |
Registration of Angiographic ImagesAngiographic images visualize vascular structure in different modalities like X-Ray, CT, or MR data sets. In many medical applications, a registration and proper visualization of the data sets, especially the vasculature is useful for a better navigation. The focus of this project lies on 2D/3D registration of angiographic data where intensity-based, feature-based, and hybrid approaches are evaluated, the latter two of them requiring an accurate 2D and 3D segmentation of the data. The main clinical partner is the radiology department of the Universitätsklinikum Großhadern (Ludwig-Maximilian Universität München) , industrial partner is Siemens Medical Solutions, Forchheim. |
Assessment of Fluid Tissue Interaction Using Multi-Modal Image Fusion for Characterization and Progression of Coronary AtherosclerosisCoronary artery diseases such as atherosclerosis are the leading cause of death in the industrialized world. In this project, we develop computational tools for segmentation and registration problems on intravascular images including IVUS (Intravascular Ultrasound) and OCT (Optical Coherence Tomography). One sample component of this project is Automatic Stent Implant Follow-up from Intravascular OCT Pullbacks. The stents are automatically detected and their distribution is analyzed for monitoring of the stents: their malpositioning and/or tissue growth over stent struts. |
Endovascular Stenting of Aortic AneurysmsEndovascular stenting is a minimally invasive treatment technique for aortic aneurysms or dissections. Thereby, a certain aortic prosthesis (stent graft) is placed inside the aortic aneurysm in order to prevent a life-threatening rupture of the aortic wall. Prior to the intervention, a computed tomography angiography (CTA) is acquired on which the surgical staff can measure the parameter of the desired stent graft and finalize the intervention workflow. The entire interventional catheter navigation is done under 2D angiography imaging where the physician is missing the important 3D information. The purpose of our project is two-fold:1. In the planning phase, a modified graph cuts algorithm automatically segments the aorta and aneurysm, so the surgical staff can choose an appropriate type of stent to match the segmented location, length, and diameter of the aneurysm and aorta. By visualizing the defined stent graft next to the three-dimensionally reconstructed aneurysm, mismeasurements can be detected in an early stage. Our main goal is the creation of an interactive simulation system that predicts the behaviour of the aortic wall and the movement of the implanted stent graft. 2. During implantation of the stent graft, after an intensity based registration of CTA and angiography data, the current navigation can be visualized in the 3D CT data set at any time. This includes solutions for electro-magnetic tracking of catheters as well as guide wires and stent grafts. Eventually, Our main goal is the creation of solutions that enable the surgeon to enhance the accuracy of the navigation and positioning, along with a minimum use of angiography, leading to less radiation exposure and less contrast agent injection. |
Decision Support System for Treating Patients with Coronary Artery DiseaseEfficacious treatment and management of patient with the Coronary Artery Disease (CAD) has drawn a lot of attention especially because of the high prevalence and high mortality rate. Two major treatment options are Coronary Artery Bypass Grafting (CABG) and Percutaneous Coronary Intervention (PCI). CABG is more expensive and invasive, however, the overall prognosis is better than PCI, which is widely considered as a less expensive and minimally-invasive option. It is documented that a large percentage of patients (up to one third) undergoing PCI procedure require repeat procedure after several years. It is beneficial to both patients and payers to identify this high-risk patient group as early as possible based on a series of in-vitro and imaging tests and possibly choose an alternate treatment option. Moreover, the identification of this high-risk patient group within the early months of PCI intervention could also trigger better management of these patients through administering possibly invasive tests (e.g., optical coherence tomography-OCT) to characterize and quantify the disease process and the associated risk. Our project partner at German Heart Center has collected large amount of data from patient cohorts that includes results of commercially available in-vitro tests, imaging tests, and for subset of patients the plasma samples and the follow-up data with clinical outcomes. The goal of this project is to identify features such as blood biomarkers that are predictive of PCI prognosis, to devise an algorithm decision support system to aggregate the biomarker test (including imaging) results and optimize the correlation to the clinical outcome, characterize and validate the system built based on retrospective data. |
Automatic thrombus segmentation in in vivo micoscopic video sequences under low contrast and highly dynamic conditionsThe Bloodomics EU project aims are to identify the genetic risks factors of coronary heart diseases.One of the most common methods is to study the thrombus formation in the dorsal aorta of mutant Zebrafish larvae. The developing thrombus is imaged in vivo through a microscope/camera setup. The derived time to attachment, growth speed, and time to occlusion permits the characterization of the thrombus formation. However, this step presently remains manual. Our objective is to provide the geneticists in the Wellcome Trust Sanger Institute with an image processing tool to automatically detect and segment the growing thrombus. This will significantly speed up and improve the precision of this current analysis. |
Prediction of Rupture Risk for Abdominal Aortic AneurysmsAn abdominal aortic aneurysm (AAA) describes an enlarged aortic diameter in the abdominal part of the body. Due to weakening rupture of the inner aortic wall layer, blood cells accumulate inside the wall layers and lead to a thrombus. In order to choose a suitable individual treatment, a prediction of rupture risk would be helpful. However, it is not possible to predict the ruputure risk only with quantative parameters extracted out of CT-images such as size and diameter. It is important to also include qualitative predictors like characteristics of the aortic wall and fluid dynamics.Together with our medical and academic partners, we are interested in creating a model of the aorta and its thrombus in order to do certain calculations on wall stress and fluid dynamic computations. A further integration of other medical imaging devices such as PET/CT and IVUS into the geometrical model can provide more information about biochemical activities inside the aneurysmatic walls. |
CAMPComTo ease the development of a hybrid modality we have created a generic, portable, lightweight, and easily extensible, client-server based framework, implemented in C++, to control the communication between multiple imaging and tracking devices. Our framework Computer-Aided Medical Procedures Communication (CAMPCom), allows developers of hybrid systems to focus on the most important implementation aspects by freeing them from the more generic tasks of data serialization and exchange. |
| S. Demirci New Approaches to Computer Assistance for Endovascular Abdominal Aortic Repairs Technische Universtät München, 2011 (bib) |
| 2013 | |
| T. Aksoy, S. Demirci, M. Degertekin, N. Navab, G. Unal
Template-based CTA X-ray Angio Rigid Registration of Coronary Arteries in Frequency Domain SPIE Medical Imaging, Orlando, Florida, USA, February 2013 (bib) |
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| S. Demirci, M. Baust, O. Kutter, F. Manstad-Hulaas, H-H. Eckstein, N. Navab
Disocclusion-based 2D-3D Registration for Aortic Interventions Computers in Biology and Medicine, Volume 43, Issue 4, 1 May 2013, Pages 312-322 (bib) |
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| 2011 | |
| S. Demirci, A. Bigdelou, L. Wang, C. Wachinger, M. Baust, R. Tibrewal, R. Ghotbi, H-H. Eckstein, N. Navab
3D Stent Recovery from One X-ray Projection 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto (CA), September 18-22, 2011 (bib) |
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| D. Ugurlu, S. Demirci, N. Navab, M. S. Celebi
A Vessel Segmentation Method for MRA Images Based on Multi-scale Analysis and Level Set Framework 3rd International MICCAI-Workshop on Computation and Visualization on (Intra)Vascular Imaging, Toronto, Canada, September 18, 2011 (bib) |
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| 2010 | |
| F. Manstad-Hulaas, G. A. Tangen, S. Demirci, M. Pfister, S. Lydersen, T. A. Nagelhus Hernes
Endovascular Image-Guided Navigation - Validation of Two Volume-Volume Registration Algorithms Minimally Invasive Therapy & Allied Technologies 20(5), pp. 282 - 289, 2011 (bib) |
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| 2009 | |
| S. Demirci, G. Lejeune, N. Navab
Hybrid Deformable Model for Aneurysm Segmentation IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2009), Boston, Massachusetts, USA, June 28 - July 1, 2009 (bib) |
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| M. Baust, S. Demirci, N. Navab
Stent Graft Removal for Improving 2D-3D Registration IEEE International Symposium on Biomedical Imaging (ISBI), Boston, MA, USA, June 28-July 1 2009. (bib) |
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| S. Demirci, F. Manstad-Hulaas, N. Navab
Extracting a Purely Non-Rigid Deformation Field of a Single Structure Proceedings of Bildverarbeitung fuer die Medizin (BVM 2009), Heidelberg, Germany, March 2009 (bib) |
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| S. Demirci, F. Manstad-Hulaas, N. Navab
Quantification of Abdominal Aortic Deformation after EVAR SPIE Medical Imaging, Orlando, Florida, USA, 7-12 February 2009 (bib) |
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| 2008 | |
| S. Demirci, O. Kutter, F. Manstad-Hulaas, R. Bauernschmitt, N. Navab
Advanced 2D-3D Registration for Endovascular Aortic Interventions: Addressing Dissimilarity in Images SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib) |
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| 2007 | |
| O. Kutter, S. Kettner (=Demirci), E.U. Braun, N. Navab, R. Lange, R. Bauernschmitt
Towards an Integrated Planning and Navigation System for Aortic Stent-Graft Placement Proc. of Computer Assisted Radiology and Surgery (CARS), Berlin, Germany, June 2007. (bib) |
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| UsersForm | |
|---|---|
| Title: | Dr. |
| Circumference of your head (in cm): | |
| Firstname: | Stefanie |
| Middlename: | |
| Lastname: | Demirci |
| Picture: | |
| Birthday: | 12.01.1981 |
| Nationality: | Bavaria |
| Languages: | English, German, French, Turkish, Bavarian |
| Groups: | Registration/Visualization, Segmentation, Medical Imaging, Computer-Aided Surgery |
| Expertise: | Registration/Visualization, Segmentation, Medical Imaging, Computer-Aided Surgery, 3D Interaction |
| Position: | Scientific Staff |
| Status: | Active |
| Emailbefore: | demirci |
| Emailafter: | in.tum.de |
| Room: | MI 03.13.056 |
| Telephone: | +49 89 289 19405 |
| Alumniactivity: | |
| Defensedate: | 12 April 2011 |
| Thesistitle: | New Approaches to Computer Assistance for Endovascular Abdominal Aortic Repairs |
| Alumnihomepage: | |
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