Medical Imaging

The research in the Medical Imaging group is devoted to development of image formation, image analysis and visualization. This requires generation of fundamental knowledge in experimental settings and its translation to advanced quantitative imaging tools in the clinical workflow. To achieve this goal, physicists, engineers, radiologists, and clinical partners closely cooperate to enable these developments.

If you are a student and are interested in these topics, makes sure to look at our site with a descriptions of possible internships.









People



Faculty



(Asociated) Postdocs


(Associated) PhDs

  • Bart Cornelissen
  • Emilie Santos

  • Eva Leemans
  • Eva Peper
  • Haryadi Prasetya
  • Ilaria Jansen
  • Ivo Jansen
  • Jorid Borst
  • Kilian Treurniet
  • Marit Lucas
  • Merel Boers
  • Mustafa Elattar
  • Olvert Berkhemer
  • Paul ten Berg
  • Renan Sales Barros
  • Wessel van der Steen
  • Wouter Potters



Cardiovascular MRI

Contact: Gustav Strijkers G.J.Strijkers@amc.uva.nl




Diffusion-Tensor MRI of skeletal muscle

Contact: Gustav Strijkers G.J.Strijkers@amc.uva.nl






MRI assessment of tumor treatment response

Contact: Gustav Strijkers G.J.Strijkers@amc.uva.nl






PAPAVER: Progression in Image Analysis for Percutaneous Aortic Valve Replacement

Transcatheter Aortic Valve Implantation (TAVI) is a valuable alternative therapy for patients with severe aortic valve stenosis and high operative risk. However, the TAVI procedure is associated with potential adverse effects, such as paravalvular leakage, coronary obstruction, and conduction disorders. We study, develop, and validate novel quantitative image analysis methodsĀ  to optimize patient treatment and limit adverse outcome. In specific, we study new methods for automated sizing, quantify aortic valve calcium, optimize fluoroscopy angulation, and analyzing LV dynamic parameters.

Contact: Henk Marquering h.a.marquering@amc.uva.nl

AIRSPACE: Advanced Imaging for Risk stratification of Stroke PAtients using Ct Examinations

Background: Stroke is a dominant cause of death and disability in the Western world. Multimodal CT imaging is a good candidate to support treatment decisions and two large clinical trials currently investigate its prognostic value in acute stroke. However, quantitative and automated measurements of the CT images are currently missing.

Goal: In this project we aim to come with automated, quantitative and validated image analysis tooling to enable optimal treatment selection. In particular we shall advance diagnosis by the automated extraction of quantitative data on thrombus location, measurement of blood brain barrier permeability, and introduction of hemodynamic vessel flow.

Project leaders: Hugo de Jong (Radiology, UMCU), Henk Marquering (BMEP/Radiology, AMC), Wiro Niessen (Medical Informatics/Radiology, Erasmus MC). Industrial partners: Philips, HemoLab.



Contact: Henk Marquering h.a.marquering@amc.uva.nl

Q-SAB: Quantitative analysis of Subarachnoid Bleedings

A subarachnoid hemorrhage has devastating effects for patients. When a patient arrives with this condition fast treatment is mandatory to prevent a second bleeding. Despite the alarming effects of this condition, it is still unclear what the optimal treatment is for a given situation/patient. In this project we aim to quantify the subarachnoid bleeding to optimize prognosis and treatment. This project is sponsored by fonds NutsOhra.

Contact: Henk Marquering h.a.marquering@amc.uva.nl

MEDUSA

MEDUSA stands for Medical Distributed Utilization of Services and Applications. The research in this project focuses on the availability of medical images and advanced medical imaging tools. Furthermore, the distal collaboration of medical specialists is an important aspect in MEDUSA. MEDUSA is an international project with 12 partners and is lead by Philips.



Contact: Henk Marquering h.a.marquering@amc.uva.nl

Patient-Specific bone repositioning using 3D planning and additive manufacturing technology (PERSONAL)

PERSONAL is a Eurostars project aiming to develop innovative 3D design software and patient-specific implants for the treatment of radial deformations. This approach will change the conventional method drastically because it allows a "tailor-made" treatment, which will lead to a more precise placement of bone parts with reduced effort and a more rapid recovery.
The consortium focuses on developing online access to a 3D-planning service and planning that focuses on the patient-specific anatomy.

The consortium consists of 4 partners and is lead by Xilloc Medical BV



Contact: Geert Streekstra g.j.streekstra@amc.uva.nl

Advanced Three-Dimensional Imaging and Treatment Techniques of Nonunion Scaphoid Fractures

The scaphoid fracture is the most common carpal fracture and is notorious for problems with healing. Failure of healing, a so-called nonunion, causes osteoartrosis including pain, restricted wrist motion and disability.

Nonunions usually show a particular pattern of deformation. Assessment of the deformity and optimal graft size is imprecise with current methods. As a result, current treatment is inaccurate with failure rates of 35% in the Netherlands. We develop novel automated 3-D imaging techniques based on CT scans for improving assessments of nonunion deformities. This will facilitate surgery enabling accurate preoperative planning and creation of patient specific cutting or drilling guides. These guides are expected to allow for more accurate bone repositioning.


Contact: Geert Streekstra g.j.streekstra@amc.uva.nl

Facilities

  • 7T Animal MRI;
  • Virtomy;
  • Automated quantitative imaging support;
  • Automated hemorrhage detection and quantification;
  • Automated final infarct volume quantification;

The research activities are carried out in close cooperation with clinical partners. Projects focus on the following themes:

With spiral CT a large volume of image data can be acquired within a short period of time. This has made CT angiography feasible, a technique in which blood vessels are visualized after injection of a contrast medium. Matching techniques are investigated to register data sets acquired before and after contrast injection, for example of the renal and cerebral arteries, in order to improve the visualization of these arteries and to aid the detection of vascular pathology. Research also takes place into the possibilities and limitations of CT with a very low radiation dose.
Recently, an experimental imaging technique for the determination of viscoelastic properties of tissue has been introduced: MR Elastography. The viscoelastic characterization of tissue is expected to be a useful indicator for malignant tissue. The tissue properties are extracted from image data obtained via a MR sequence that is coupled to a mechanical harmonic excitation of the tissue. Research on MR Elastography is focused on development of instrumentation for the excitation of tissue and image analysis methods for extraction of the viscoelastic properties from the image data.

In reconstructive orthopedic surgery of joint structures there is a need for preoperative prediction of intra-operative joint geometry and evaluation of postoperative joint function. To obtain the necessary information for evaluation and prediction we combine 3D imaging techniques, dedicated 3D image analysis methodology, biomechanical modeling of joints and force-motion measurements of joints. The imaging part of this project addresses the development of methods for obtaining the geometry and the mechanical properties of the anatomical structures within the joint.