Mixed reality for planning of implant surgery for bone defects of irregular shapes
Project title: Mixed reality for planning of implant surgery for bone defects of irregular shapes.
Recruiting and hosting institution: MedApp S.A.
PhD enrollment: Politecnico di Milano
Supervisors: MedApp S.A. (PL): A. Skalski. Politecnico di Milano (I): P. Vena,
Objectives: To develop algorithms for support of planning of implant surgery for bone defects of irregular shapes with the help of Augmented/Mixed Reality system. To achieve the implant bone positioning in semi-and fully automated way thanks to the use of deterministic and/or deep learning (data-drive) approaches.
Expected Results: The solution will facilitate the process of preparing for the implant surgery for bone defects of irregular shapes. The surgeon will be able to prepare and validate the plan quickly and precisely. On top of that he/she will have a visual support with the aforementioned plan during the surgery with unique possibility to adjust the plan during the procedure thanks to sterile interface of the planning that will employ voice commands and hand gestures. The solution will be based on anatomical landmarks for semi- or fully automated placement of the implant in the Computed Tomography of the patient stored in DICOM standard. The anatomical landmarks are the basis for correct positioning of the implant. The anatomical landmarks can be placed in the data manually on 2D slices and also on 3D reconstruction on the workstation and in the holographic space of Augmented/Mixed reality. The algorithm should also determine the landmarks in a fully automated way with the possibility to adjust the results manually if needed. Validation of the implant positioning in the holographic space will be beneficiary for the surgeon as he/she will have constant access to the surgical plan during surgery.
Description: DC10 position is about investigating the following aspects
- Development of algorithms for bone implant positioning in semi- and fully automated ways by the use of deterministic and/or deep learning (data-driven) approaches
- Development of Augmented/Mixed-Reality solution for bone implant surgery planning;
- Development of algorithms for the identification of the anatomical landmarks for surgery planning
- Integration of the solution with the inputs provided by other DCs.
The Doctoral Candidates will interact with other members of the project’s DCs in a multidisciplinary setting by taking part in training sessions and workshops. Each DC will also conduct secondments in order to broaden her/his scientific understanding of the project’s subject and develop soft skills.
Required profile/research interests:
- Master’s degree in Biomedical Engineering, Computer Science, AI or related fields.
- The degree must be completed with good grades, latest by the start of the recruitment.
- Good command of Python and C++
- Experience with Computer Vision/Deep Learning is
- Proficiency in the English language (both written and spoken): CAMBRIDGE ≥ FCE grade B (or equivalent).
- Good communication skills and the ability to work as a part of a team and independently.
- The DC will be enrolled in the PhD program of Politecnico di Milano (PhD in Biomedical Engineering); additional ECTS credit will be required and yearly evaluation sessions (some of these activities can be performed remotely).
The successful candidates will receive an attractive salary in accordance with the MSCA regulations for Doctoral Researchers for a 3-year contract (full time employment). The salary includes a living allowance (gross amount: €2 397,00 per month), plus a mobility allowance (€600 per month), and a family allowance (€650 per month if applicable). The precise (net) salary will be confirmed upon appointment.
In addition, such a monthly salary, all REBONE fellows will benefit from a wide range of training and mentoring activities, which includes secondments to be organised at the premises of the REBONE Beneficiaries and Associated Partners, as well as of a wide variety of training modules (related to both scientific and transferable skills).
Where to request additional information for this position:
Prof. Andrzej Skalski: email@example.com, the PI of the MedApp S.A.
For further information on enrollment at Politecnico di Milano please contact project coordinator Pasquale Vena: firstname.lastname@example.org
In order to complete the application procedure please prepare in advance the following documents:
- Application summary and Privacy consent (pdf file, please download the form HERE)
- CV using the European template (pdf file)
- List of publications (pdf file, free format)
- Copy of up to three selected publications, if available (zip file with three selected publications)
- Certificate of English language (pdf file)
- Signed copy of Identity card/Passport (pdf file)
- Motivation letters (pdf file)
- Two recommendation letters (zip file with two pdf)
- A research proposal: A document with no more than 8000 characters (excluding Bibliography) describing a potential research activity pertinent to the specific topic of the DC to be recruited. Figures and tables are allowed. Template provided. (pdf file, please download the template HERE)