SebastianPoelsterl

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Sebastian Pölsterl

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Sebastian Pölsterl
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Phone:
+49 89 289 19403
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Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München, Germany
Room: MI 03.13.058

Current Projects

Decision Support System for Treating Patients with Coronary Artery Disease

Decision Support System for Treating Patients with Coronary Artery Disease

Efficacious 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.

Open Student Projects

Publications


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Title:  
Firstname: Sebastian
Middlename:  
Lastname: Poelsterl
Picture: poelsterl_small.jpg
Birthday: 10.02.1986
Nationality: Bavaria
Languages: English, German, Bavarian
Groups: Medical Imaging, Patient Monitoring
Expertise:  
Position: Scientific Staff
Status: Active
Emailbefore: sebastian.poelsterl
Emailafter: tum.de
Room: MI 03.13.058
Telephone: +49 89 289 19403
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Defensedate:  
Thesistitle: Prognostic Factors of Coronary Arteries Disease
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Edit | Attach | Refresh | Diffs | More | Revision r1.6 - 04 Apr 2012 - 14:50 - SebastianPoelsterl

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