Internship - Image-assisted contrast recovery from highly accelerated post-injection low field MRI
il y a 2 semaines
Duration : 6 months
March 2026 (Flexible)
Skills & ExperienceTraining/Profile: Medical Imaging / Deep Learning / MRI Undersampling / Contrast Enhancement
Expected skills are python/coding, deep learning and signal processing
Key ResponsibilitiesProducing contrast-enhanced MR images typically requires the injection of a gadolinium-based agent, followed by the acquisition of a fully sampled, high-quality volume. However, that acquisition is most often redundant with other images acquired during the same exam, and sometimes even paired with a non-contrast version of the same sequence. Deep learning and MRI reconstruction theory have opened opportunities to generate synthetic contrast-enhanced images by leveraging non-contrast data together with highly accelerated, noisy contrast acquisitions. Such approaches promise substantial reductions in scan time while preserving contrast dynamics critical for clinical interpretation.
This internship will focus on developing and validating both (1) acceleration/undersampling strategies paired with (2) deep learning reconstruction to recover high-quality contrast-enhanced MRI from a non-contrast image and a strongly accelerated, low SNR contrast-enhanced acquisition.
- Literature Review: Review contemporary literature in contrast synthesis, image-to-image translation, multi-contrast reconstruction, and accelerated MRI, with emphasis on methods combining multi-contrast inputs.
- Development and Integration: Design and implement deep learning models to recover diagnostic-grade contrast-enhanced images. Explore strategies to jointly optimize k-space acceleration and reconstruction quality.
- Data Processing and Evaluation: Develop pipelines for data harmonization, pre-processing, quantitative evaluation, and validation against reference fully sampled contrast-enhanced datasets.
- Collaboration: Work closely with medical imaging researchers and MRI physicists to refine model assumptions, evaluate reconstruction performance, and integrate findings into broader efforts on accelerated contrast-enhanced MRI.
Who We AreChipiron is revolutionizing the medical imaging industry by developing light and easily deployable MRI machines powered by an ultra-sensitive quantum detection system. Our mission is to make MRI accessible to everyone, everywhere. We're a team of engineers based in the heart of Paris, and we have only one obsession: building things people want.
Our CultureCollaborative Decision-Making;
High Standards and Autonomy: We maintain high expectations for our team members and offer complete autonomy, coupled with incentives tied to the company's success, fostering a culture of ownership and accountability;
Value of Humility: We prioritize seeking the truth over being right;
English-First International Team.
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