Topic: Ultrasound guided intra-operative vertebral level localization for lumbar hernia surgery.

Heart in 4D project: Improved cardiac CT perfusion evaluationResponsibilities: Define topic within project scope.Perform research on selected topic (CT perfusion segmentation, temporal registration, detection)Keep contact with clinical users (Cardiology department)Present and attend on scientific meetings

Mediate project: improve guidance during percutaneous coronary interventions by registration of mono-plane X-ray angiography and pre-interventional CT angiography. Responsibilities:Define topic within project scope.Perform research on selected topic (novel robust point-based registration algorithm, cardiac motion prediction based a learned motion estimate, ECG and respiratory signals)Attend meetings, give presentations, publish results

MXL project: improve training and planning tools for joint surgery. http://www.m-x-l.eu/My work package: Statistical modelling and 2D/3D reconstruction of the knee and shoulder joints.Responsibilities:Meet project goals (Build statistical shape and intensity models of the scapula from CT, and apply them to reconstruct 3D shape from X-ray.) Collaborate with partners (Provide models for finite element modeling of bone and implants during activities).Define side projects and establish local collaborations (Knee kinematic analysis, joint-width analysis)Attend meetings, publish results

I performed my PhD research as a collaboration between the Biomedical Imaging Group Rotterdam (BIGR) and Leiden University Medical Center, Division of Image Processing. Thesis: Anatomical Shape and Motion Reconstruction from Spare Image DataThesis online: http://bigr.nl/files/publications/872_thesis_NBaka_digital.pdf Promoter: Prof. W. NiessenPromoter: Prof. B. P .F. LeleieveldtCo-promoter: Dr. M. de BruijneMain topics of contributions:- statistical modeling of cardiac cycle induced coronary artery motion, and its use in- 3D/2D+t non-rigid registration of coronary arteries from 3D CT Angiography to X-ray Angiography for an entire cardiac cycle- automated 3D femur anatomy reconstruction and tracking from X-ray fluoroscopy using statistical shape models- Predicting missing data, and its uncertainty given partial data and a statistical modelImaging modalities- CT- X-rayGained expertise- CT segmentation, registration, statistical modeling, vessel extraction, regression, statistical analysis

I was an IAESTE trainee. During the internship I implemented an optic flow algorithm in Matlab for object tracking in robotic navigation.