Thesis topic proposal
Miklós Gyöngy
Model-based diagnostic image reconstruction


Institute: Pázmány Péter Catholic University, Budapest
computer sciences
Roska Tamás Doctoral School of Sciences and Technology

Thesis supervisor: Miklós Gyöngy
Web address (URL): https://itk.ppke.hu/oktatas/doktori-iskola-phd
Location of studies (in Hungarian): PPCU Roska Tamás Doctoral School of Technology and Sciences
Abbreviation of location of studies: PPKE

Description of the research topic:

CT (computed tomography) is one of the most common diagnostic imaging modalities in use today. Three issues with this imaging modality are radiation dose, low temporal resolution, and low soft tissue contrast. If observations are made from a limited number of angles and we can employ extra assumptions, there is the possibility of limiting the extent of the aforementioned issues. The goal is to apply a model based on the observed object that leads to the appropriate cost function of the solution. Thereby, using compressed sensing and sparse reconstruction methods, it is expected that the optimum of the cost function will pick from the set of possible solutions one that is close to the real solution. It is expected that this approach will be relevant to other diagnostic imaging modalities and methods.

Required language skills (in Hungarian): English
Recommended language skills (in Hungarian): English
Further requirements (in Hungarian): 
competent in Mathematics and Physics, well versed in programming (e.g. MATLAB, python), a motivated and creative candidate who is open to the design and execution of experiments

Number of students who can be accepted: 1

Deadline for application: 2017-05-31

2017. I. 31.
ODT ülés
Az ODT következő ülésére 2017. március 10-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2334 ( 2017. I. 15. )