Active Sampling for MRI-based Sequential Decision Making Article Swipe
Yuning Du
,
Jingshuai Liu
,
Rohan Dharmakumar
,
Sotirios A. Tsaftaris
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2505.04586
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2505.04586
Despite the superior diagnostic capability of Magnetic Resonance Imaging (MRI), its use as a Point-of-Care (PoC) device remains limited by high cost and complexity. To enable such a future by reducing the magnetic field strength, one key approach will be to improve sampling strategies. Previous work has shown that it is possible to make diagnostic decisions directly from k-space with fewer samples. Such work shows that single diagnostic decisions can be made, but if we aspire to see MRI as a true PoC, multiple and sequential decisions are necessary while minimizing the number of samples acquired. We present a novel multi-objective reinforcement learning framework enabling comprehensive, sequential, diagnostic evaluation from undersampled k-space data. Our approach during inference actively adapts to sequential decisions to optimally sample. To achieve this, we introduce a training methodology that identifies the samples that contribute the best to each diagnostic objective using a step-wise weighting reward function. We evaluate our approach in two sequential knee pathology assessment tasks: ACL sprain detection and cartilage thickness loss assessment. Our framework achieves diagnostic performance competitive with various policy-based benchmarks on disease detection, severity quantification, and overall sequential diagnosis, while substantially saving k-space samples. Our approach paves the way for the future of MRI as a comprehensive and affordable PoC device. Our code is publicly available at https://github.com/vios-s/MRI_Sequential_Active_Sampling
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2505.04586
- https://arxiv.org/pdf/2505.04586
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4416095541
All OpenAlex metadata
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https://doi.org/10.48550/arxiv.2505.04586Digital Object Identifier
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Active Sampling for MRI-based Sequential Decision MakingWork title
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preprintOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-07Full publication date if available
- Authors
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Yuning Du, Jingshuai Liu, Rohan Dharmakumar, Sotirios A. TsaftarisList of authors in order
- Landing page
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https://arxiv.org/abs/2505.04586Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2505.04586Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2505.04586Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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