Dr. Rainald Ehrig

Projekte als Projektleiter

• CH13

  Empirical Bayes methods for patient-specific prediction and control of pharmacological interventions

  Dr. Rainald Ehrig / Prof. Dr. Susanna Röblitz

  Projektleiter: Dr. Rainald Ehrig / Prof. Dr. Susanna Röblitz
  Projekt Mitglieder: Dr Ilja Klebanov
  Laufzeit: 01.06.2017 - 31.12.2018
  Status: beendet
  Standort: Konrad-Zuse-Zentrum für Informationstechnik Berlin
  

  Beschreibung

  One of the main goals of mathematical modeling related to medical applications is to obtain patient-specific parametrizations and model predictions. In clinical practice, however, the number of available measurements for single patients is usually limited due to time and cost restrictions. This hampers the process of making patient-specific predictions about the outcome of a treatment. On the other hand, data are often available for many patients, in particular if extensive clinical studies have been performed. Empirical Bayes methods can provide a solution to this controversy. Instead of applying Bayes’ rule to each measurement separately, these methods usually boil down to combining all measurements in order to construct an informative prior as a first step and then using this prior for the Bayesian inference of the individual parametrizations in a second step. We want to demonstrate the applicability and benefit of this approach on a high-dimensional model system for predicting patient-specific treatment success rates related to in vitro fertilization in reproductive medicine.
  
  http://www.zib.de/projects/empirical-bayes-methods-patient-specific-prediction-and-control-pharmacological-interventions

• GV-AP6

  Dynamic Multi-modal Knee Joint Registration for the Analysis of Knee Laxity

  Dr. Rainald Ehrig / Dr.-Ing. Stefan Zachow

  Projektleiter: Dr. Rainald Ehrig / Dr.-Ing. Stefan Zachow
  Projekt Mitglieder: -
  Laufzeit: 01.06.2014 - 31.05.2017
  Status: beendet
  Standort: Konrad-Zuse-Zentrum für Informationstechnik Berlin
  

  Beschreibung

  Changes in limb or joint anatomy, e.g. due to injury or surgery, may lead to functional impairment. Accurate measurement of skeletal kinematics provides the key to understanding the role of joint instabilities on the onset and progression of degenerative diseases. The aim of the project is to measure knee joint motion in vivo and to identify and characterize joint laxity. In order to assess relative motion of knee joint structures, dynamic medical imaging techniques are used. Possible options are fluoroscopy, dynamic CT, and MRI. The most practical approach is fluoroscopic imaging due to the possibility of imaging knee joint structures during physical exercises at affordable costs. One of the challenges addressed in this project is the reconstruction of anatomical structures from 2D images. Via a combination of MRI and fluoroscopy data and based on the developed 3D reconstruction techniques within the project '3D From Xray' we will assess and improve skin marker-based methods for assessing skeletal dynamics and joint centers.
  
  http://www.zib.de/projects/dynamic-multi-modal-knee-joint-registration-analysis-knee-laxity