Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging

Ahishakiye, Emmanuel; Gijzen, Martin B. van; Obungoloch, Johnes

doi:10.1186/s12880-020-00474-3

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…e degeneration of the lumbar disc was extremely and positively correlated with the degeneration of LFJ; the asymmetry of LFJs was significantly and positively correlated with LFJ degeneration grade and LDH; and PRNSs were mainly concentrated in the people aged 61-70 years. is work provides a reference basis for the diagnosis, treatment, and prognosis of LDH [16][17][18].…”

Section: Discussionmentioning

confidence: 99%

Deep Learning-Based Denoised MRI Images for Correlation Analysis between Lumbar Facet Joint and Lumbar Disc Herniation in Spine Surgery

Gao

2021

Journal of Healthcare Engineering

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This work aimed to explore the relationship between spine surgery lumbar facet joint (LFJ) and lumbar disc herniation (LDH) via compressed sensing algorithm-based MRI images to analyze the clinical symptoms of patients with residual neurological symptoms after LDH. Under weighted BM3D denoising, Epigraph method was introduced to establish the novel CSMRI reconstruction algorithm (BEMRI). 127 patients with LDH were taken as the research objects. The BEMRI algorithm was compared with others regarding peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM). Patients’ bilateral LFJ angles were compared. The relationships between LFJ angles, lumbar disc degeneration, and LFJ degeneration were analyzed. It turned out that the PSNR and SSIM of BEMRI algorithm were evidently superior to those of other algorithms. The proportion of patients with grade IV degeneration was at most 31.76%. Lumbar disc grading was positively correlated with change grading of LFJ degeneration ( P < 0.001 ). LFJ asymmetry was positively correlated with LFJ degeneration grade and LDH ( P < 0.001 ). Incidence of residual neurological symptoms in patients aged 61–70 years was as high as 63.77%. The proportion of patients with severe urinary excretion disorders was 71.96%. Therefore, the BEMRI algorithm improved the quality of MRI images. Degeneration of LDH was positively correlated with degeneration of LFJ. Asymmetry of LFJ was notably positively correlated with the degeneration of LFJ and LDH. Patients aged 61–70 years had a high incidence of residual neurological symptoms after surgery, most of which were manifested as urinary excretion disorders.

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Section: Discussionmentioning

confidence: 99%

Deep Learning-Based Denoised MRI Images for Correlation Analysis between Lumbar Facet Joint and Lumbar Disc Herniation in Spine Surgery

Gao

2021

Journal of Healthcare Engineering

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“…However, a typical MRI machine is expensive and complicated. To run it, well-trained employees are required, and a technician must be sent out to fix it if something goes wrong [ 29 ]. That is not an issue in the Netherlands, but it is a different story if the machine is in Uganda.…”

Section: Reviewmentioning

confidence: 99%

Impact of Magnetic Resonance Imaging on Healthcare in Low- and Middle-Income Countries

Hilabi¹,

Alghamdi²,

Almanaa³

2023

Cureus

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Magnetic resonance imaging (MRI) played a significant role in the digital health platforms that influenced and supported modern medicine. However, there is a shortage of MRI in low- and middle-income countries (LMICs). The International Society of Radiology offers a detailed plan for LMICs to advance imaging quality in the global health agenda. The overarching objective of this scoping review was to determine the impact of MRI in healthcare in LMICs. This scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify available evidence. We systematically searched four academic databases for peer-reviewed literature published between 2018 and 2021, namely, Medline, PubMed, Web of Science, and Scopus, as well as Google Scholar as a source for gray literature. The search identified 54 articles. We identified a range of reasons for introducing MRI in LMICs. Nonetheless, some challenges to accepting MRI as a method of healthcare have been reported, including technological, regulatory, and economical challenges. To implement the proposed plan, the involvement of professional and international organizations is considered crucial. The establishment of an International Commission on Medical Imaging under the umbrella of international organizations is suggested and collaboration with other diagnostic disciplines is encouraged to raise awareness of the importance of upscale diagnostics at large and to foster its integration into the care pathway globally.

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“…5 To this end, nonlinear image reconstruction methods in such low SNR scenarios are currently being explored. 77,129,130 These three studies include learning dictionaries to denoise, 129 parallel imaging to increase SNR near the peripheries of the image, and incorporating system and subject priors to deal with imperfections, respectively. 77,130 Another important challenge is being able to deal with system imperfections, a requirement for keeping manufacturing costs low.…”

Section: Recent Technical Developments and Potential Opportunitiesmentioning

confidence: 99%

Low‐Field MRI of Stroke: Challenges and Opportunities

Bhat

Fernandes

Poojar

et al. 2020

Magnetic Resonance Imaging

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Stroke is a leading cause of death and disability worldwide. The reasons for increased stroke burden in developing countries are inadequately controlled risk factors resulting from poor public awareness and inadequate infrastructure. Computed tomography and MRI are common neuroimaging modalities used to assess stroke with diffusion-weighted MRI, in particular, being the recommended choice for acute stroke imaging. However, access to these imaging modalities is primarily restricted to major cities and high-income groups. In the case of stroke, the time-window of treatment to limit the damage is of a few hours and needs a point-of-care diagnosis. A low-cost MR system typically achieved at the ultra-lowand very-low-field would meet the need for a geographically accessible and portable solution. We review studies focused on accessible stroke imaging and recent developments in MR methodologies, including hardware, to image at low fields. We hypothesize that in the absence of a formal, rapid stroke triaging system, the value of timely on-site delivery of the scanner to the stroke patient can be significant. To this end, we discuss multiple recent hardware and methods developments in the low-field regime. Our review suggests a compelling need to explore further the trade-offs between high signal, contrast, and accessibility at low fields in low-income communities.

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Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging

Cited by 7 publications

References 14 publications

Deep Learning-Based Denoised MRI Images for Correlation Analysis between Lumbar Facet Joint and Lumbar Disc Herniation in Spine Surgery

Deep Learning-Based Denoised MRI Images for Correlation Analysis between Lumbar Facet Joint and Lumbar Disc Herniation in Spine Surgery

Impact of Magnetic Resonance Imaging on Healthcare in Low- and Middle-Income Countries

Low‐Field MRI of Stroke: Challenges and Opportunities

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