This workshop is a continuation of the successful MICCAI grand challenge workshops series focusing on evaluating and comparing medical image analysis methods in clinical settings.

Topics:

The goal of this challenge is to quantitatively evaluate the performance of 3D image analysis algorithms for:

• Coronary artery stenoses detection/quantification and lumen segmentation in computed tomography angiography (CTA) images

• Right ventricle segmentation in cardiac MRI.

Please visit http://grand-challenge2012.bigr.nl/ for information on the challenges.

Paper submission:

Papers will include results obtained on testing data and will be limited to eight pages following the MICCAI submission guidelines. Submission of results of an algorithm submitted to the main conference (or to some other
workshops) is allowed, as well as submission of results of already published methodologies.

Workshop format:

The workshop is a day long double track workshop that includes (i) an on-site challenge session with unseen testing data and (ii) in-depth oral presentations of selected algorithms. A poster session will accommodate further discussions. Electronic proceedings will be arranged for all of the papers and posters presented at the workshop.

Important Dates:

March 19th, 2012 — Training data ready for download June 4th, 2012 — Testing data ready for download June 26th, 2012 — Paper Submission October 1st, 2012 — Workshop Date

Organizing Committee:

Hortense Kirişli, Theo van Walsum, Wiro Niessen Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, NL

Caroline Petitjean, Su Ruan, Damien Grosgeorge LITIS EA 4108, Université de Rouen, FR

PhD student m/f

Type of vacancy: Research
Department: Division of Image Processing, Department of Radiology
Vacancy number: B.12.PV.07
Appointment: 36 hours per week
Starting date: 1 May 2012
Educational Requirements: MSc degree in Computer Science, Electrical and Computer Engineering or similar discipline
Closing date for application: 6 March 2012

The position
As a PhD student in the Department of Radiology, you will work in the Neuro-Image Processing Section within the Division of Image Processing (LKEB). Your work will involve developing feature extraction approaches using novel image processing techniques with an aim to further the clinical use of MR imaging. You will work in collaboration with clinical researchers at LUMC and researchers from the National Laboratory of Pattern Recognition, CASIA, Beijing, China.

The project
MRI provides unique opportunities for the quantification of brain structures as well as the assessment of brain function. As such, MRI may be used to assess the neurological health status of a given individual based on the comparison of patient-specific MR-based features and parameters with values obtained from reference populations. Further advances in MR imaging in combination with novel automated image analysis techniques are needed to bring this technology within reach of routine clinical application.
Feature extraction approaches using novel image processing techniques will be developed along two lines: first regarding the modelling of shape and texture of multiple brain structures in a single statistical model and, second, through the comparison of functional networks. Researchers from the National Laboratory of Pattern Recognition, CASIA, Beijing, China will work on classification techniques using those features.

The department
You will work within the Division of Image Processing (LKEB) at the Department of Radiology and alongside other partners in the project. The Division investigates image analysis techniques which facilitate the interpretation of biomedical images in general. An important research field is the development of contour detection algorithms which are robust enough to perform objective quantitative measurements in medical images as they are acquired in daily clinical practice. The LKEB carries out its fundamental image processing research in a highly clinical setting as it is critically important to ascertain clinical input from different disciplines, such as cardiology, radiology, pulmonology, surgery and orthopaedics.

Your profile
You hold an MSc degree in a relevant discipline such as Computer Science or Electrical and Computer Engineering, and have formal training in signal and image processing. You should have an affinity for biomedical research with a clear interest in the application and utilisation of biomedical and medical technological research. An extensive background in programming and experience in medical image processing is essential, as is knowledge of Linux, Windows and Matlab. You should have had at least one scientific paper published in an international forum. In addition, you are a committed and enthusiastic team player with excellent communication skills. You are attentive to detail and possess an ability to solve problems at an abstract level yet able to pragmatically apply these solutions in practice.

We offer
You will be employed on the basis of a 36-hour week. Appointment is for an initial period of 1 year, possibly to be extended by a further 3 years conditional on a positive first-year appraisal. Your salary will depend on your qualifications and experience.

More information
If you have any questions, or if you want more information about this position, please contact Professor B.P.F. Lelieveldt, Department of Radiology, e-mail B.P.F.Lelieveldt@lumc.nl, telephone +31 71 526 3935 or 526 1882 or Dr Julien Milles, assistant professor, Department of Radiology, e-mail J.R.Milles@lumc.nl, telephone +31 71 526 5342.

e-mail
DIV2PenO@lumc.nl

Applying by letter
LUMC
Attn. mrs drs. P. Vis, P&O advisor
Bureau Bedrijfsvoering Division 2 (K5-S)
PO Box 9600
2300 RC Leiden
The Netherlands

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For more information on the Software Engineer position click here.

Shengxian Tu

Date: February 28, 2012
Time: 15.00 pm
Venue: Academiegebouw, Leiden
Thesis title: Three-dimensional Quantitative Coronary Angiography and the Registration with Intravascular Ultrasound and Optical Coherence Tomography

Hans Reiber, Max Viergever and Wiro Niessen

The 6th Winter Conference of the European Society for Molecular Imaging on

“PROCESSING BIOMEDICAL IMAGES: Visualisation, Modelling, Segmentation, Quantification, Registration”

The one-week conference will take place from April 15 to 20, 2012 at the Ecole de Physique des Houches in the French Alps. Abstract submission deadline is 25 January 2012. Further details about confirmed speakers, topics, programme, abstract submission via www.topim.eu

TOPIM 2012 Committee:

Bertrand Tavitian – Orsay, France

Marion de Jong – Rotterdam – The Netherlands

Adriaan Lammertsma – Amsterdam, The Netherlands

Boudewijn Lelieveldt – Leiden, The Netherlands

Renaud Maroy – Orsay, France

Michal Neeman – Rehovot, Israel

Vasilis Ntziachristos – Munich, Germany

Bernd Pichler – Tuebingen, Germany

 Applications consisting of a CV, research and teaching statements, and three letters of recommendation directly from recommenders should be sent via email to cis@mathcs.emory.edu. Informal inquiries are also invited by email. Screening starts December 1, 2011.  Applications received by December 31, 2011, will receive a full review.  Please note that appointments are subject to final funding approval. Emory University is an Equal Opportunity/Affirmative Action employer.  Women and underrepresented minorities are encouraged to apply.

Martijn van de Giessen

Date: November 30, 2011
Time: 12.00 pm
Venue: Senaatszaal in the Aula of the TU Delft, Delft
Thesis title: Statistical Modeling of Shape and Motion of the Wrist Bones

Martin Baiker

Date: November 17, 2011
Time: 13.45 pm
Venue: Academiegebouw, Leiden
Thesis title: Automated Analysis and Visualization of Preclinical Whole-Body microCT Data

Professor Reiber received the Royal decoration in recognition of all his contributions to science, healthcare and industry. He is acknowledged worldwide as an expert in clinical application of quantitative image analysis. He is also a pioneer in the field of research valorization, and already in the early nineties he founded a company to transfer the results of his research into the clinic. He also played an important role in strengthening the position of the research field medical image analysis in the Netherlands. He is a member of the Royal Dutch Academy of Arts and Sciences, chaired the NWO program “Novel instruments in healthcare”, and is the coordinator of the STW grant program CARISMA: Cardiovascular Risk Management. Professor Reiber retired in August 2011 as head of the LUMC division of Image Processing to continue his career as CEO of the company Medis.