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Annonce

4 septembre 2017

PhD for European Project HiPerNav: Multimodal medical image quality assessment


Catégorie : Doctorant


This PhD position is part of an EU project, a Marie Curie Initial Training Network project: HiPerNav (High Performance soft-tissue Navigation). The scientific and clinical goal of HiPerNav is to develop a navigation platform for management of liver cancer and metastases treatment to improve the eligibility and prognosis for liver surgical procedures and ablation treatment, enabling an integral management of surgical workflow: (1) pre-operative surgical planning; (2) intra-operative resection navigation and ablation monitoring; (3) post-operative quality control.

Université Paris 13, France. Laboratoire de Traitement et Transport de l'Information (L2TI).

 

Context

This PhD position is part of an EU project, a Marie Curie Initial Training Network project: HiPerNav (High Performance soft-tissue Navigation). The scientific and clinical goal of HiPerNav is to develop a navigation platform for management of liver cancer and metastases treatment to improve the eligibility and prognosis for liver surgical procedures and ablation treatment, enabling an integral management of surgical workflow: (1) pre-operative surgical planning; (2) intra-operative resection navigation and ablation monitoring; (3) post-operative quality control.

Objectives

This PhD position will focus on the development of new methodologies to assess the quality of multimodal medical images, such as stereoscopic data, US, Dyna-CT, and MRI. The interest of these images is to improve the soft tissue navigation and surgical procedures. The diversity of the information conveyed by the diagnostic imaging systems should be exploited to develop image quality metrics consistent with the perceptual evaluation of doctors. The proposed quality metrics should also take into account the different distortions that can affect the processed data, such as noise and low-contrast. Moreover, the development of quality metrics that aim at evaluating the performance of medical image processing methods, such as image enhancement, image segmentation and denoising, will be also investigated. 

This work will be part of the activities related to research and development of new medical technology, applied cross-disciplinary research of novel tool development for medical imaging/visualization and navigation technology, clinical evaluation, and scientific dissemination of knowledge.

Host institution/department

Université Paris 13, France. Laboratoire de Traitement et Transport de l'Information (L2TI).

Collaboration

This work will be done in collaboration with:

Qualifications for applicant

Application procedure

Applications should be submitted online using the form available at:

https://www-l2ti.univ-paris13.fr/depot_candidature/index.php

The application should include:

Selected applicants for an interview will be contacted by email.

The successful candidate will be offered:

For further information about the position, please contact Dr. Mounir Kaaniche, Associate professor at Université Paris 13 (mounir.kaaniche@univ-paris13.fr)

 

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(c) GdR 720 ISIS - CNRS - 2011-2015.