Labs
TAIMRI Lab

TAIMRI Lab

A collaboration between General Electric Healthcare, Erasmus MC, and the Erasmus University of Rotterdam.

Dr. Molewaterplein 40, 3015 GD Rotterdam

Burgemeester Oudlaan 50, 3062 PA Rotterdam

The research of Trustworthy AI for Magnetic Resonance Imaging (TAIMRI) Lab aims to improve the accuracy and reduce the costs of MRI-based diagnosis using AI methods, with a focus on neurological and musculoskeletal diseases. TAIMRI Lab is a collaboration between Erasmus MC, General Electric Healthcare, and the Erasmus University of Rotterdam.


The aim of the lab is to improve the quality of MRI-based diagnosis with trustworthy AI methods. For this, we aim to optimize the full chain from image acquisition prescription, to image analysis and introduction of AI-supported acquisition and diagnosis in clinical practice. This can greatly improve the accuracy of diagnosis while reducing costs. At first, we focus on neurological and MSK diseases. Within the overall aim of TAIMRI Lab, there are five research projects. Specifically, we will:
- develop smart, adaptive, MR imaging protocols for precision diagnosis;
- develop end-to-end deep-learning-based MR image reconstruction;
- develop trustworthy AI for integrated diagnostics of brain tumors;
- develop trustworthy AI methods for improved diagnosis of bone and soft-tissue lesions on MRI;
- develop an approach that ensures acceptance of AI technology in the daily clinical radiology setting. The smart adaptive protocols together with the deep-learning based MR image reconstruction will form.


The smart adaptive protocols together with the deep-learning-based MR image reconstruction will form the basis for clinical MR scanning in the future. Key ingredients for these improvements come from the clinical expertise and experiences we have, and further develop, in the AI-assisted diagnostic approaches for brain tumors and bone/soft-tissue lesions. Specifically, in these approaches, image-based disease biomarkers will be created, which can be a subsequent target for the protocol adaptation. By focusing on two clinical domains, we enhance the generalizability of the developed methods and ensure broad applicability across disease domains.

For further information and updates on progress, please visit us at ICAIlab Trustworthy AI for MRI | BIGR.

Sustainable Development Goals

Research projects

Trustworthy AI for adaptive and precision MR protocols: aims to develop predictor of acquisition settings optimal for imaging pathological tissue.

End-to-end deep learning quantitative MR reconstruction: aims to develop efficient methods for Quantitative MRI reconstruction.

Trustworthy AI for integrated diagnostics of brain tumours: aims to improve diagnostic accuracy of non-invasive tumor characterization by MR imaging.

Trustworthy AI for improved diagnosis of bone and soft-tissue lesions on MRI: aims to develop AI models for differential diagnosis of musculoskeletal lesions.

Acceptance of radiological AI technology in a clinical setting: aims to develop a framework to understand different factors influencing acceptance.

People

Aad van der Lugt
Stefan Klein
Dirk Poot

PHD Students

Aad van der Lugt
Stefan Klein
Dirk Poot

Partners

The lab consists of an interdisciplinary research group with expertise from imaging physics, image analysis, AI experts, clinical radiologists, and social scientists. This range of expertise in the development, validation, and socioeconomic valorization of medical imaging techniques allows for a multidisciplinary approach toward improving the quality of MRI-based diagnosis.

Erasmus MC - University Medical Center Rotterdam based in Rotterdam, Netherlands, affiliated with Erasmus University and home to its faculty of medicine, is the largest and one of the most authoritative scientific University Medical Centers in Europe.

GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients.

Erasmus University Rotterdam (EUR) is a public research university located in Rotterdam, Netherlands.

Erasmus MC - University Medical Center Rotterdam
GE HealthCare
Erasmus University Rotterdam
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