Department of Electrical Engineering
"PhD student to investigate automated image analysis for esophageal cancer detection in volumetric laser endomicroscopy scans"
Volumetric Laser Endomicroscopy (VLE) is a recent endoscopic imaging technique that allows gastroenterologists to inspect the inner tissue layers of the esophageal wall. This provides endoscopists with a very useful tool for the detection of early esophageal cancer, which typically develops in these subsurface layers that cannot be imaged by traditional endoscopic imaging techniques. During a VLE image capturing procedure, a balloon is endoscopically inserted in the esophagus. Next, the balloon is inflated to stretch the tissue into a fixed position after which a laser scans a cylindrical segment (in a horizontal plane) of up to 6 cm in height in 90 seconds, resulting in 1,200 circumferential scans of 4,096 × 1,024 pixels.
The fast and efficient procedure VLE offers, is particularly beneficial for patients with a so called Barrett’s Esophagus (BE). In patients with BE, due to consistent gastric reflux, a segment of the esophagus proximal to the gastro-esophageal junction is covered with an acid resistant tissue-type that is not native to the esophagus. This process results in an over 30 times higher chance of developing esophageal adenocarcinoma, which accounts for the majority of esophageal cancers in the Western World.
Early cancer in BE has proven to be very hard to recognize using traditional white-light endoscopy. Hence, over the past years, studies have presented automated analysis algorithms for endoscopic imagery in order to aid the physician in detecting early esophageal cancer. Although these methods might increase the detection ratio of early Barrett’s cancer, they suffer from a major drawback: what is not imaged by the endoscopists, is not processed by the detection algorithm. Consequently, if a BE segment is overlooked, developing cancers might go unnoticed. Therefore, VLE offers a promising alternative, as it can image the entire Barrett segment in a single scan. On top of that, it allows the analysis of the subsurface tissue layers, which is impossible with traditional white-light endoscopy.
Although the above-mentioned aspects of VLE are very attractive, there are two major difficulties that this novel technique faces: (1) physicians struggle to interpret the complex VLE signal which is quite noisy and unstructured, and (2) carefully inspecting 1,200 high-resolution VLE slices is very laborious and time consuming. Therefore, we aim to develop a Computer-Aided Detection (CADe) algorithm that automatically inspects a full VLE volume for signs of early cancer.
The open PhD position is part of a project funded by the Dutch Cancer Society and technology foundation STW and it involves a collaborative effort of Eindhoven University of Technology (TU/e), the Catharina Hospital in Eindhoven, the Academic Medical Center in Amsterdam and Ninepoint Medical from Boston, which is the manufacturer of the VLE imaging device. Next to the technical expertise offered by the TU/e and Ninepoint Medical, a network of leading medical experts on early Barrett’s cancer with a strong track record on innovative imaging methods are involved in this project. For the requested PhD researcher, it is envisioned that the candidate will work in close cooperation with a medical researcher at the AMC and the experts in both involved hospitals.
We are looking for talented, motivated, and enthusiastic candidates with an MSc degree in Electrical Engineering, Computer Science, or Biomedical Engineering with a background in machine learning, signal processing and/or computer vision. The candidate should match the following profile.
- Experience in using Matlab, Python and/or TensorFlow;
- Excellent knowledge of image (signal) processing and machine learning;
- Team player that enjoys to work in multicultural teams with interest in oncology;
- Strong communication skills, including excellent proficiency in English (spoken and written);
- Preferably: knowledge on validation methods and statistical testing.
Conditions of employment
- Challenging job in a dynamic and ambitious university and a stimulating internationally renowned environment;
- Full-time temporary appointment for 4 years with secured budget;
- Gross salary between € 2.222,00 per month (first year) and € 2.840,00 per month (last year);
- Additionally, 8% holiday and 8.3% end-of-year annual supplements;
- An extensive package of fringe benefits (e.g. excellent technical infrastructure and excellent sports facilities);
Information and application
For information concerning employment conditions you can contact Mrs. Tanja van Waterschoot (firstname.lastname@example.org ).
For more information about the project, please contact Fons van der Sommen (F.v.d.Sommen@tue.nl ) and Peter de With (P.H.N.de.With@tue.nl ).
More information on employment conditions can be found here: http://www.tue.nl/en/university/working-at-tue/working-conditions/ .
If interested, please use 'apply now'-button at the top of this page. You should upload the following: a detailed curriculum vitae, a letter of motivation and portfolio with relevant work. Please keep in mind; you can upload only 5 documents up to 2 MB each!
If you are interested in this position please send:
- a cover letter explaining your motivation and suitability for the position;
- a detailed Curriculum Vitae;
- contact information of two references;
- copies of diplomas with course grades;
Ph D Candidate 'a Personalized Image Based Assessment Of Metastatic Potential Of Prostate Cancer', Radboud University Medical Center (Radboudumc), Netherlands, 7 days ago
The presence of lymph node (LN) metastases is a key factor for prognosis and therapy of prostate cancer. Improved and earlier detection of LN-metastases results in early and patient tailored treat...
2 Ph D Positions On Modelling, Control, And Crop Physiology For Flexible Greenhouse Crop Production, Wageningen University & Research, Netherlands, about 4 hours ago
The Dutch horticultural sector aims at becoming climate neutral before 2050. To accomplish this, a substantial energy saving is needed. For a successful transition to clean energy this should be a...
Ph D Positions In Hyperpolarized And Diffusion Magnetic Resonance Imaging , Technische Universität München, Germany, about 24 hours ago
08.01.2018, Wissenschaftliches Personal The Technical University of Munich (TUM) is seeking applications from highly motivated candidates for two PhD positions in magnetic resonance imaging. The P...
Ph D In 3 D Intra Cardiac Echography, Delft University of Technology, Netherlands, about 21 hours ago
PhD in 3D Intra-cardiac Echography Department/faculty: Applied Sciences Level: Unknown Working hours: 38 hours per week Contract: 4 years Salary: €2222 to €2840 Applied Sciences The Faculty of App...
Ph D: Organometallic Chemistry & Catalysis, Delft University of Technology, Netherlands, about 21 hours ago
PhD: Organometallic Chemistry & Catalysis Department/faculty: Applied Sciences Level: Master degree Working hours: 38 hours per week Contract: 4 years Salary: €2222 to €2840 Applied Sciences The F...
Ph D Position: Aberration Free Optical Imaging In Living Brain Tissue , NWO-I, Netherlands, 5 days ago
In this PhD project, you will apply new insights in Adaptive Optics and complex wavefront shaping to compensate for tissue-induced aberrations in 2-photon microscopy and single molecule localizati...