201 Result(s)
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Open AccessFidelity of 3D Printed Brains from MRI Scan in Children with Pathology (Prior Hypoxic Ischemic Injury)
Cortical injury on the surface of the brain in children with hypoxic ischemic injury (HII) can be difficult to demonstrate to non-radiologists and lay people using brain images alone. Three-dimensional (3D) pr...
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Open AccessIntra-operator Repeatability of Manual Segmentations of the Hip Muscles on Clinical Magnetic Resonance Images
The manual segmentation of muscles on magnetic resonance images is the gold standard procedure to reconstruct muscle volumes from medical imaging data and extract critical information for clinical and research...
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Open AccessCorrection to: Journal of Digital Imaging
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Open AccessNew Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-2
Significant improvements in mammography systems have been achieved with the introduction of active matrix flat-panel digital detectors. The advent of this technology also makes it possible to implement computa...
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Open AccessNatural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data
A correct protocol assignment is critical to high-quality imaging examinations, and its automation can be amenable to natural language processing (NLP). Assigning protocols for abdominal imaging CT scans is pa...
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Open AccessUsing Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts
Occlusion-based saliency maps (OBSMs) are one of the approaches for interpreting decision-making process of an artificial intelligence (AI) system. This study explores the agreement among text responses from a...
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Open AccessAutomated Protocoling for MRI Exams—Challenges and Solutions
Automated protocoling for MRI examinations is an amendable target for workflow automation with artificial intelligence. However, there are still challenges to overcome for a successful and robust approach. The...
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Open AccessFully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes
Age-related macular degeneration is the leading cause of vision loss in developed countries, and wet-type AMD requires urgent treatment and rapid diagnosis because it causes rapid irreversible vision loss. Cur...
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Open AccessEvaluation Challenges for the Application of Extended Reality Devices in Medicine
Augmented and virtual reality devices are being actively investigated and implemented for a wide range of medical uses. However, significant gaps in the evaluation of these medical devices and applications hin...
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Open AccessMaximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI
This paper aims to solve the arterial input function (AIF) determination in dynamic contrast-enhanced MRI (DCE-MRI), an important linear ill-posed inverse problem, using the maximum entropy technique (MET) and...
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Open AccessSkin Lesion Area Segmentation Using Attention Squeeze U-Net for Embedded Devices
Melanoma is the deadliest form of skin cancer. Early diagnosis of malignant lesions is crucial for reducing mortality. The use of deep learning techniques on dermoscopic images can help in keeping track of the...
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Open AccessHighdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology
Machine learning (ML) is revolutionizing image-based diagnostics in pathology and radiology. ML models have shown promising results in research settings, but the lack of interoperability between ML systems and...
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Open AccessMyocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
The main aim of the present study was to predict myocardial function improvement in cardiac MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using radiomics and machine learning alg...
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Open AccessThe RSNA ImageShare — Enabling Secure, Transparent, and Easy Image Exchange
In the early 2000s, the radiology community was awakened to the limitations of electronic media (CDs, DVDs) for exchanging imaging exams. Clinicians frustrated by the time-consuming task of opening discs, whil...
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Open AccessImage Exchange: an International Perspective
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Open AccessCombined Features in Region of Interest for Brain Tumor Segmentation
Diagnosis of brain tumor gliomas is a challenging task in medical image analysis due to its complexity, the less regularity of tumor structures, and the diversity of tissue textures and shapes. Semantic segmen...
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Open AccessHow Carequality, The Sequoia Project, and eHealth Exchange Support the Interoperable Exchange of Health Data in the USA
Every organization in the health IT industry plays an important role in overcoming barriers to health information exchange in the United States. It is important to understand imaging interoperability in the ov...
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Open AccessXNAT-PIC: Extending XNAT to Preclinical Imaging Centers
Molecular imaging generates large volumes of heterogeneous biomedical imagery with an impelling need of guidelines for handling image data. Although several successful solutions have been implemented for human...
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Open AccessIntegrating Biological and Radiological Data in a Structured Repository: a Data Model Applied to the COSMOS Case Study
Integrating the information coming from biological samples with digital data, such as medical images, has gained prominence with the advent of precision medicine. Research in this field faces an ever-increasin...
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Open AccessInteractive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper
Despite technological advances in the analysis of digital images for medical consultations, many health information systems lack the ability to correlate textual descriptions of image findings linked to the ac...
