Associated member of GSISH

Contact Details

Chair for Computer Aided Medical Procedures & Augmented Reality
Institut für Informatik
TU München
Boltzmannstr. 3
85748 Garching
Germany

Phone: +49 (0)89.289.17071
Fax:     +49 (0)89.289.17059

E-Mail: yigitsoy@in.tum.de

Project Details

Project:
Analysis and Visualization of Colon Motility

Supervisors:
Prof. Dr. Nassir Navab

Start of PhD-work at GSISH:
November 2010

Project Description:
Image registration is often described as the process of bringing two or more images into spatial alignment. An important application of image registration is the construction of a larger field of view of a scene from its partially overlapping observations using intensity information. In intensity-based image registration, however, consistency between partial images has often been addressed in terms of pixel intensity value correspondences in the overlapping region. Our research investigates different consistency measures to be used as regularization in intensity-based registration of partially overlapping images. First, a method for ensuring local consistency and smoothness is proposed. We propose a new technique called structure propagation for creating structural probability maps based on the geometry of locally salient structures. Second, we introduce a novel regularization term into the intensity-based registration framework to ensure global shape consistency. To this end, we propose Hough space parametrization of target anatomy or region together with a voting scheme during registration.

Publications:

F. Milletari, M. Yigitsoy, N. Navab, and S.-A. Ahmadi.
“Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors”.
In: MICCAI Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS), Boston, MA, September 2014.

M. Müller, M. Yigitsoy, H. Heibel, and N. Navab.
“Deformable Reconstruction of Histology Sections using Structural Probability Maps”.
In: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Springer, Boston, USA, September 2014.

T. Peng, M. Yigitsoy, A. Eslami, C. Bayer, and N. Navab.
“Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration-Learning Methodology”.
In: Biomedical Image Registration, pp. 144–153, Springer, 2014.

M. Yigitsoy, J. Fotouhi, and N. Navab.
“Hough Space Parametrization: Ensuring Global Consistency in Intensity-based Registration”.
In: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Springer, Boston, USA, September 2014.

M. Yigitsoy and N. Navab.
“Structure Propagation for Image Registration”. Medical Imaging, IEEE Transactions on, Vol. 32, No. 9, pp. 1657–1670, Sept 2013.

M. Yigitsoy, M. Reiser, N. Navab, S. Kirchhoff 
Out-of-plane Motion Compensation in Cine-MRI
The 4th MICCAI Workshop on Computational and Clinical Applications in Abdominal Imaging (MICCAI-ABD 2012), Nice, France, Oct 1, 2012

M. Yigitsoy, M. Reiser, N. Navab, S. Kirchhoff 
Dynamic Graph Cuts for Colon Segmentation in Functional Cine-MRI 
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), Barcelona, Spain, May 2 - 5, 2012

C. Wachinger, M. Yigitsoy, E. Rijkhorst, N. Navab
Manifold Learning for Image-Based Breathing Gating in Ultrasound and MRI
Medical Image Analysis, Volume 16, Issue 4, May 2012, Pages 806-818.

A. Eslami, M. Yigitsoy, N. Navab
Manifold learning for shape guided segmentation of Cardiac boundaries: Application to 3D+t Cardiac MR
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), Boston, MA, August 30 - September 3, 2011.

M. Yigitsoy, C. Wachinger, N. Navab
Temporal Groupwise Registration for Motion Modeling
Information Processing in Medical Imaging (IPMI), July 3-8 2011

M. Yigitsoy, C. Wachinger, N. Navab
Manifold learning for image-based breathing gating in MRI
SPIE Medical Imaging, Florida, USA, 12 - 17 February 2011

C. Wachinger, M. Yigitsoy, N. Navab
Manifold Learning for Image-Based Breathing Gating with Application to 4D Ultrasound
Medical Image Computing and Computer Assisted Intervention, Beijing, China, September 20-24 2010

Personal Details:

Mehmet Yigitsoy received his B.Sc. degree in Electrical and Electronics Engineering (2008) from Bosphorus University, Istanbul, Turkey. Between 2008 and 2010, he studied for his M.Sc. in Computational Science and Engineering at Technical University of Munich, Germany. During his master studies, he worked as a student assistant at Chair for Computer Aided Medical Procedures & Augmented Reality. His wrote his thesis on 4D deformable registration for motion modeling in medical images. Since November 2010, he has been working as a research assistant at the Chair for Computer Aided Medical Procedures & Augmented Reality under the supervision of Prof. Nassir Navab. He is fluent in Turkish and English, intermediate in German. His research interests are medical image processing, analysis and visualization.