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Medical imaging has learnt itself well into modern medicine and revolutionized medical industry in the last 30 years. Stemming from the discovery of X-ray by Nobel laureate Wilhelm Roentgen, radiology was born, leading to the creation of large quantities of digital images as opposed to film-based medium. While this rich supply of images provides immeasurable information that would otherwise not be possible to obtain, medical images pose great challenges in archiving them safe from corrupted, lost and misuse, retrievable from databases of huge sizes with varying forms of metadata, and reusable when new tools for data mining and new media for data storing become available. This paper provides a summative account on the creation of medical imaging tomography, the development of image archiving systems and the innovation from the existing acquired image data pools. The focus of this paper is on content-based image retrieval (CBIR), in particular, for 3D images, which is exemplified by our developed online e-learning system, MIRAGE, home to a repository of medical images with variety of domains and different dimensions. In terms of novelties, the facilities of CBIR for 3D images coupled with image annotation in a fully automatic fashion have been developed and implemented in the system, resonating with future versatile, flexible and sustainable medical image databases that can reap new innovations.
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http://dx.doi.org/10.2174/1874431101105010073 | DOI Listing |
Pain Manag
September 2025
Pain Management Unit, Hospital Universitario Quirónsalud Madrid, Madrid, Spain.
Aims: The aim of this observational study is to describe the use of epiduroscopy to decrease the enlargement of the ligamentum flavum (LF) in patients with spinal stenosis, as well as the selection of the appropriate patient and the safety measures that enhance procedural success.
Materials & Methods: We introduce the patient selection protocol, define the appropriate indication and the safety measures to use the epiduroscopy as a tool to decrease the size of the LF and increase space, reducing possible complications.
Results: Among patients included in the study, there were no cases of access difficulty or coccydynia, and one case of urinary incontinence occurred in a patient with Schizas grade D (very severe) stenosis.
J Ultrasound Med
September 2025
Harvard Medical School, Boston, Massachusetts, USA.
Trop Doct
September 2025
Additional Professor, Department of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chikungunya virus (CHIKV) typically causes febrile illness and arthralgia. However, severe complications such as encephalitis, rhabdomyolysis, and multiorgan dysfunction are increasingly recognised, particularly during epidemics in endemic regions. We report a case of a 61-year old male presenting with progressive flaccid paraparesis and respiratory failure following febrile illness.
View Article and Find Full Text PDFJAMA Neurol
September 2025
Department of Radiology, University of Washington, Seattle.
Importance: Recent longitudinal studies in patients with unruptured intracranial aneurysms (UIAs) suggested that aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) predicts growth and rupture. However, because these studies were limited by small sample size and short follow-up duration, it remains unclear whether this radiological biomarker has predictive value for UIA instability.
Objective: To determine the 4-year risk of instability of UIAs with AWE and investigate whether AWE is an independent predictor of UIA instability.
J Ultrasound Med
September 2025
Department of Clinical Analysis, Federal University of Santa Catarina (UFSC), Florianópolis, Brazil.
Objectives: To evaluate the performance of artificial intelligence (AI)-based models in predicting elevated neonatal insulin levels through fetal hepatic echotexture analysis.
Methods: This diagnostic accuracy study analyzed ultrasound images of fetal livers from pregnancies between 37 and 42 weeks, including cases with and without gestational diabetes mellitus (GDM). Images were stored in Digital Imaging and Communications in Medicine (DICOM) format, annotated by experts, and converted to segmented masks after quality checks.