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Generalized super-r...
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system
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- Ericsson, Leon (författare)
- Karolinska Institutet, Solna, Sweden
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- Hjalmarsson, Adam (författare)
- Karolinska Institutet, Solna, Sweden
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- Akbar, Muhammad Usman, 1990- (författare)
- Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- Ferdian, Edward (författare)
- University of Auckland, Auckland, New Zealand
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- Bonini, Mia (författare)
- University of Michigan, Ann Arbor, USA
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- Hardy, Brandon (författare)
- University of Michigan, Ann Arbor, USA
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- Schollenberger, Jonas (författare)
- University of California San Francisco, San Francisco, CA, USA
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- Aristova, Maria (författare)
- Northwestern University, Chicago, USA
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- Winter, Patrick (författare)
- Karolinska Institutet, Solna, Sweden
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- Burris, Nicholas (författare)
- Karolinska Institutet, Solna, Sweden
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- Fyrdahl, Alexander (författare)
- Karolinska Institutet, Solna, Sweden
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- Sigfridsson, Andreas (författare)
- Karolinska Institutet, Solna, Sweden
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- Schnell, Susanne (författare)
- Northwestern University, Chicago, USA
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- Figueroa, C. Alberto (författare)
- University of Michigan, Ann Arbor, USA
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- Nordsletten, David (författare)
- Massachusetts Institute of Technology, Cambridge, USA
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- Young, Alistair A. (författare)
- University of Auckland, Auckland, New Zealand
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- Marlevi, David (författare)
- Karolinska Institutet, Solna, Sweden
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: IEEE journal of biomedical and health informatics. - 2168-2194 .- 2168-2208. ; , s. 1-12
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system. While practical use is limited by spatial resolution and image noise, incorporation of trained super-resolution (SR) networks has potential to enhance image quality post-scan. However, these efforts have predominantly been restricted to narrowly defined cardiovascular domains, with limited exploration of how SR performance extends across the cardiovascular system; a task aggravated by contrasting hemodynamic conditions apparent across the cardiovasculature. The aim of our study was therefore to explore the generalizability of SR 4D Flow MRI using a combination of existing super-resolution base models, novel heterogeneous training sets, and dedicated ensemble learning techniques; the latter-most being effectively used for improved domain adaption in other domains or modalities, however, with no previous exploration in the setting of 4D Flow MRI. With synthetic training data generated across three disparate domains (cardiac, aortic, cerebrovascular), varying convolutional base and ensemble learners were evaluated as a function of domain and architecture, quantifying performance on both in-silico and acquired in-vivo data from the same three domains. Results show that both bagging and stacking ensembling enhance SR performance across domains, accurately predicting high-resolution velocities from low-resolution input data in-silico. Likewise, optimized networks successfully recover native resolution velocities from downsampled in-vivo data, as well as show qualitative potential in generating denoised SR-images from clinicallevel input data. In conclusion, our work presents a viable approach for generalized SR 4D Flow MRI, with the novel use of ensemble learning in the setting of advanced fullfield flow imaging extending utility across various clinical areas of interest.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Superresolution
- Magnetic resonance imaging
- Data models
- Training
- Ensemble learning
- Biomedical imaging
- Hemodynamics
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Ericsson, Leon
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Hjalmarsson, Ada ...
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Akbar, Muhammad ...
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Ferdian, Edward
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Bonini, Mia
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Hardy, Brandon
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Schollenberger, ...
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Aristova, Maria
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Winter, Patrick
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Burris, Nicholas
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Fyrdahl, Alexand ...
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Sigfridsson, And ...
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Schnell, Susanne
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Figueroa, C. Alb ...
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Nordsletten, Dav ...
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Young, Alistair ...
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Marlevi, David
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- MEDICIN OCH HÄLSOVETENSKAP
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TEKNIK OCH TEKNO ...
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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