Universite Paris 13
Universite Paris 13
Universite Paris 13
Universite Paris 13
Universite Paris 13
Universite Paris 13

Open PhD position

Multimodal medical image quality assessment

Deadline 30th of September, 2017     

 

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:

  • The Norwegian Colour and Visual Computing Laboratory is a research group within the Faculty of Computer Science and Media Technology at the Norwegian University of Science and Technology (NTNU) in Gjøvik, Norway.

  • Intervention centre at Oslo University Hospital (Oslo, Norway) .

 Qualifications for applicant

  • Master of science in relevant fields (computer science, image processing, informatics, medical imaging, mathematics)

  • Strong academic record

  • Image/video processing, mathematics and statistics

  • Good programming skills (Matlab and C++)

  • Good oral and written communication skills (in particular English)

  • Good knowledge in medical imaging is advantageous

  • We emphasize collaborative skills, initiative, ability to accomplish tasks, practical skills, and ability to create and establish new projects in collaboration with colleagues.

Application procedure

Applications should be submitted online using the form available at:

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

(please copy and paste this link into a new window)

 The application should include:

  • A detailed Curriculum Vitae

  • A motivation letter explaining why the applicant believes to be suitable for the position offered

  • University transcripts

  • One or two reference letters

Selected applicants for an interview will be contacted by email.

The successful candidate will be offered:

  • Environment: The Laboratoire de Traitement et Transport de l'Information (L2TI) was founded at the university Paris 13 in 1998. Its main research focus is on the development of applied and theoretical research on Data Processing and Transmission. More specifically, the topics addressed by the L2TI are related to multimedia content processing and analysis, and computer networking. To address these topics, the L2TI employs a number of researchers with a broad competence basis in fields such as image quality assessment, image processing, 3D processing, medical imaging, and wireless sensor networks. The L2TI maintains an interactive open environment with strong national and international collaborators both in academia and industry.

  • Conditions: The L2TI infrastructure includes servers, grid and cluster computing system. Moreover, a test room is also designed and used for subjective quality assessment. This PhD will also offer to the potential candidate the advantage of working within an European network of leading universities, hospitals and companies in their specific fields of expertise.

For further information about the position, please contact Dr. Mounir Kaaniche, Associate professor at Université Paris 13(This email address is being protected from spambots. You need JavaScript enabled to view it.)

Contact & Access

L2TI , Institut Galilée, UP 13
99, avenue Jean-Baptiste Clément
F-93430 Villetaneuse
ico telephone  +33 1 49 40 28 59
ico fax  +33 1 49 40 40 61
ico email  secretariat-l2ti[at]univ-paris13.fr


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