Medical imaging and imaging processing

The emphasis within this theme is on the development of medical imaging devices, software, diagnostic and prognostic tools and protocols for cardiovascular, neurological diseases and cancer. Future healthcare will be characterized by a personalized or tailored approach, where treatment regimens will be selected on basis of disease characteristics and genetic makeup of individual patient, and where these characteristics will be actively monitored during treatment. This will be achieved by quantitative analysis of multidimensional images, resulting in increased diagnostic sensitivity, improved monitoring of disease, improved monitoring of response to therapy and optimized therapy through image guided interventions.

For example, more accurate patient selection, treatment efficacy will improve and expensive therapies will be reserved for those subgroups of patients that will actually benefit. Also will imaging enable therapies to be tailored to the needs of individual patients and to be more accurately targeted. In consequence, less-invasive procedures can be used for more effective care, with fewer side effects, shorter hospitalization, and reduced morbidity, and thus increase the quality of life.

Medical imaging and imaging processing core(s):

IDII
CMI NEN
Institute Quantivision
MDII

Projects:

MIRIAM

Scope Early prostate cancer detection and treatment are of major importance to reduce mortality rate. Magnetic Resonance (MR) imaging provides images of the prostate where an early stage lesion can be visualized. The use of MR-compatible robotic systems for interventions in the prostate allows the i … Lees meer

Dream Imager

A prototype of the device will be ready for large scale testing and production in four years. Not only will it provide improved photoacoustic and ultrasound imaging, it will also be able to combine the images generated by both techniques. The expectation is that the new imager will improve and accel … Lees meer

Nelcin-B3

Scope Lung cancer, COPD and CVD (so-called Big-3) are highly prevalent in the general population and are expected to cause most deaths by 2050 in China and the Western world. For this so-called Big-3, early treatment has been shown to delay or stop progression and allow therapy at a treatable stage … Lees meer

Replace-it

Scope This project will study subjects with an indication to undergo ICA, and aims to replace ICA. This pushes the indication of non-invasive imaging from the intermediate risk subjects (to reclassify to low/high risk) to the high-risk group. According to the guidelines, non-invasive imaging is not … Lees meer

Shining light on braintumors

Marloes Groot talks about her IMDI Quantivision Project in which she has developed a method to view in one minute instead of previously 16 hours, which (brain) cells are healthy and which contain tumor cells. “One of the projects I work on is developing a label free imaging technique that we’re goin … Lees meer

The Vasculuminator

The Vasculuminator is a clinical device to visualize blood vessels to increase the success of venipuncture and reduce complications during blood redrawing or intravenously administration of medication. The development of the vasculuminator is a good example of a problem or need for improved imaging … Lees meer

Image guidance in radiotherapy

Radiotherapy is an important treatment technique for cancer that 50% of cancer patients receive. Integrated image guidance (IGRT) systems have been recently introduced, enhancing the precision delivery to mm level in many situations. One of the most popular solutions is cone-beam CT integrated with … Lees meer

RASOR sharp

MRI-based radiotherapy planning using a single MRI sequence Aim We propose the development of an MRI-only radiotherapy treatment planning system to improve and streamline minimally-invasive cancer therapy guidance and control, increase treatment accuracy and reduce both patient burden and medical co … Lees meer

Computer-aided identification of coronary artery disease

The main aim of the this project is to develop image analysis algorithms to provide automatic, reproducible, and quantitative analysis of non-invasively acquired CT images of the heart to identify patients who need to undergo percutaneous coronary treatment. The overall goal is to replace unnecessar … Lees meer

Computer-aided phenotyping of breast cancer

Recent advances in breast imaging have allowed detection of breast cancer at earlier stages, but also contributed to the detection of indolent cancers. Here, the cancer grows so slowly that the patient dies of other causes before the cancer produces symptoms or it remains dormant. With the widesprea … Lees meer

Brainbox

Quantitative analysis of MR brain images for cerebrovascular disease management Diagnosis, prognosis, and treatment of patients with cerebrovascular diseases critically depend on robust quantification of brain structures and on identification and characterization of abnormalities, to establish patho … Lees meer

RICIBION

Standardized image-guided and robotic assisted biopsies in lung cancer Annually, approximately 10,000 people die from lung cancer, making lung cancer by far the leading cause of cancer deaths. The prognosis is generally poor but increases greatly when lung cancer is detected at an early stage. This … Lees meer

Heart in 4D project

Cardiovascular diseases are the main cause of death in industrialised countries. The aim of the Heart in 4D project was both improve the diagnosis and therapy planning of cardiovascular disease. To achieve this, software was developed within the project to determine the volume, composition of athero … Lees meer

Towards a sustainable workforce

Older employees are more and more important for our society. Due to ageing, society relies on them and thus they have to work longer. However, companies are not prepared for the changing capacities of older employees that show physical and cognitive decline, and stress.  Factors that aggravate or ca … Lees meer