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Scanning K-edge subtraction (SKES) imaging with laser-compton x-ray sources.
Med Phys
January 2025
Department of Physics and Astronomy, University of California - Irvine, Irvine, California, USA.
Background: K-edge subtraction (KES) imaging is a dual-energy imaging technique that enhances contrast by subtracting images taken with x-rays that are above and below the K-edge energy of a specified contrast agent. The resulting reconstruction spatially identifies where the contrast agent accumulates, even when obscured by complex and heterogeneous distributions of human tissue. This method is most successful when x-ray sources are quasimonoenergetic and tunable, conditions that have traditionally only been met at synchrotrons.
View Article and Find Full Text PDFTowards contrast-agnostic soft segmentation of the spinal cord.
Med Image Anal
January 2025
NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Québec, Canada; Mila - Québec Artificial Intelligence Institute, Montréal, Québec, Canada; Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Québec, Canada; Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montréal, Québec, Canada. Electronic address:
Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis. While several semi and automatic methods exist, one key limitation remains: the segmentation depends on the MRI contrast, resulting in different CSA across contrasts. This is partly due to the varying appearance of the boundary between the spinal cord and the cerebrospinal fluid that depends on the sequence and acquisition parameters.
View Article and Find Full Text PDFGadolinium-Enhanced 3-Dimensional MRI for Diagnosis and Surgical Planning of Posterior Epidural Migration of Lumbar Disc Fragment: A Case Report.
JBJS Case Connect
October 2024
Department of Orthopaedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Case: A 34-year-old man presented at our hospital with knee collapse. Magnetic resonance imaging (MRI) revealed posterior compression of the dural sac by a lumbar epidural lesion; however, a diagnosis could not be reached. Gadolinium (Gd)-enhanced 3-dimensional MRI (3D-MRI) clearly delineated the morphology, enabling us to make a preoperative diagnosis of posterior epidural migration of the lumbar disc fragment (PEMLDF).
View Article and Find Full Text PDFImaging on the painful and compressed nerve: lower extremity.
Int Orthop
January 2025
Aspetar Orthopedic and Sports Medicine Hospital, Doha, Qatar.
Entrapment neuropathies of the lower extremity are often underdiagnosed due to limitations in clinical examination and electrophysiological testing. Advanced imaging techniques, particularly MR neurography and high-resolution ultrasonography (US), have significantly improved the evaluation and diagnosis of these conditions by enabling precise visualization of nerves and their surrounding anatomical structures. This review focuses on the imaging features of compressive neuropathies affecting the lumbosacral plexus and its branches, including the femoral, obturator, sciatic, common peroneal, and tibial nerves.
View Article and Find Full Text PDFAI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging.
Int J Gen Med
January 2025
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.
Purpose: Conventional brain MRI protocols are time-consuming, which can lead to patient discomfort and inefficiency in clinical settings. This study aims to assess the feasibility of using artificial intelligence-assisted compressed sensing (ACS) to reduce brain MRI scan time while maintaining image quality and diagnostic accuracy compared to a conventional imaging protocol.
Patients And Methods: Seventy patients from the department of neurology underwent brain MRI scans using both conventional and ACS protocols, including axial and sagittal T2-weighted fast spin-echo sequences and T2-fluid attenuated inversion recovery (FLAIR) sequence.
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