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Background Subtraction Angiography with Deep Learning Using Multi-frame Spatiotemporal Angiographic Input
Catheter Digital Subtraction Angiography (DSA) is markedly degraded by all voluntary, respiratory, or cardiac motion artifact that occurs during the...
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Dual energy CT in musculoskeletal applications beyond crystal imaging: bone marrow maps and metal artifact reduction
Dual energy CT (DECT) is becoming increasingly popular and valuable in the domain of musculoskeletal imaging. Gout maps and crystal detection have...
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Generating PET Attenuation Maps via Sim2Real Deep Learning–Based Tissue Composition Estimation Combined with MLACF
Deep learning (DL) has recently attracted attention for data processing in positron emission tomography (PET). Attenuation correction (AC) without...
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Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans
PurposeSpinal bone metastases directly affect quality of life, and patients with lytic-dominant lesions are at high risk for neurological symptoms...
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Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software
ObjectivesThe diagnostic reading of follow-up low-dose whole-body computed tomography (WBCT) examinations in patients with multiple myeloma (MM) is a...
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New insights into breast microcalcification for poor prognosis: NACT cohort and bone metastasis evaluation cohort
ObjectivesThe study aimed to analyze the poor prognosis of microcalcification in breast cancer (BC), including the pathological complete response...
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Preliminary evaluation of dual-energy CT to quantitatively assess bone marrow edema in patients with diabetic foot ulcers and suspected osteomyelitis
ObjectivesThe purpose of this study is to evaluate the value of dual-energy CT (DECT) with virtual non-calcium (VNCa) in quantitatively assessing the...
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Estimation of intravoxel incoherent motion (IVIM) parameters in vertebral bone marrow: a comparative study of five algorithms
ObjectivesTo access the performances of different algorithms for quantification of Intravoxel incoherent motion (IVIM) parameters D , f ,
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Mid-term efficacy grading evaluation and predictive factors of magnetic resonance–guided focused ultrasound surgery for painful bone metastases: a multi-center study
ObjectivesMR imaging–guided focused ultrasound surgery (MRgFUS) is an emerging non-invasive treatment. Itis helpful in investigating the mid-term...
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Extraction of metastasis hotspots in a whole-body bone scintigram based on bilateral asymmetry
PurposeA hotspot of bone metastatic lesion in a whole-body bone scintigram is often observed as left–right asymmetry. The purpose of this study is to...
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Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed tomography
SummaryBone marrow adipose tissue (BMAT) has been implicated in a number of conditions associated with bone deterioration and osteoporosis. Several...
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The cortical high-flow sign of oligodendroglioma, IDH-mutant and 1p/19q-codeleted: comparison between arterial spin labeling and dynamic susceptibility contrast methods
PurposeThe cortical high-flow sign with the non-enhancing area was reportedly found to be more frequent with oligodendroglioma, IDH-mutant and...
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Contrast-enhanced CT techniques and MRI perform equally well in arthritis imaging of the hand: a prospective diagnostic accuracy study
ObjectivesTo investigate the performance of dual-energy CT (DECT)-generated iodine maps (iMap) and CT subtraction (CT-S) in the detection of...
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Review of imaging techniques for evaluating morphological and functional responses to the treatment of bone metastases in prostate and breast cancer
Bone metastases are very common complications associated with certain types of cancers that frequently negatively impact the quality of life and...
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Quality of virtual-non-contrast phases derived from arterial and delayed phases of fast-kVp switching dual-energy CT in patients after endovascular aortic repair
Objective of this study is: to analyze CT numbers in arteries and endoleaks in true non-contrast (TNC) and virtual non-contrast phases derived from...
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A Coarse-to-Fine Framework for Automated Knee Bone and Cartilage Segmentation Data from the Osteoarthritis Initiative
Knee osteoarthritis (OA) is a degenerative joint disease that is prevalent in advancing age. The pathology of OA disease is still unclear, and there...
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Diagnostic Role of Dual-Energy Computed Tomography in the Assessment of Musculoskeletal Oncology: A Literature Review
Purpose of ReviewThis review aims to consolidate knowledge and recent research findings related to the potential clinical applications of dual-energy...
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Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach
PurposeTo develop a convolutional neural network (CNN) model to diagnose skull-base invasion by nasopharyngeal malignancies in CT images and evaluate...
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Radiation reduction for interventional radiology imaging: a video frame interpolation solution
PurposeThe aim of this study was to diminish radiation exposure in interventional radiology (IR) imaging while maintaining image quality. This was...
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Flat-panel Detector Perfusion Imaging and Conventional Multidetector Perfusion Imaging in Patients with Acute Ischemic Stroke
PurposeFlat-panel detector computed tomography (FDCT) is increasingly used in (neuro)interventional angiography suites. This study aimed to compare...
