Articles
Page 11 of 30
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Citation: BMC Medical Imaging 2022 22:41
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Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease
White matter hyperintensity (WMH) is one of the typical neuroimaging manifestations of cerebral small vessel disease (CSVD), and the WMH correlates closely to cognitive impairment (CI). CSVD patients with WMH ...
Citation: BMC Medical Imaging 2022 22:40 -
A deep learning framework for automated detection and quantitative assessment of liver trauma
Both early detection and severity assessment of liver trauma are critical for optimal triage and management of trauma patients. Current trauma protocols utilize computed tomography (CT) assessment of injuries ...
Citation: BMC Medical Imaging 2022 22:39 -
A study on spinal level, length, and branch type of the inferior mesenteric artery and the position relationship between the inferior mesenteric artery, left colic artery, and inferior mesenteric vein
This study was aimed to explore the clinical application of dual-energy computed tomography (DECT) monoenergetic plus (mono+) imaging to evaluate anatomical variations in the inferior mesenteric artery (IMA).
Citation: BMC Medical Imaging 2022 22:38 -
Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors
To validate a contrast-enhanced CT (CECT)-based radiomics model (RM) for differentiating various risk subgroups of thymic epithelial tumors (TETs).
Citation: BMC Medical Imaging 2022 22:37 -
Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v2017
The imaging findings of combined hepatocellular cholangiocarcinoma (CHC) may be similar to those of hepatocellular carcinoma (HCC). CEUS LI-RADS may not perform well in distinguishing CHC from HCC. Studies hav...
Citation: BMC Medical Imaging 2022 22:36 -
Correction to: Histogram analysis based on multi-parameter MR imaging as a biomarker to predict lymph node metastasis in T3 stage rectal cancer
Citation: BMC Medical Imaging 2022 22:35 -
A novel adaptive momentum method for medical image classification using convolutional neural network
AI for medical diagnosis has made a tremendous impact by applying convolutional neural networks (CNNs) to medical image classification and momentum plays an essential role in stochastic gradient optimization a...
Citation: BMC Medical Imaging 2022 22:34 -
Grayscale medical image segmentation method based on 2D&3D object detection with deep learning
Grayscale medical image segmentation is the key step in clinical computer-aided diagnosis. Model-driven and data-driven image segmentation methods are widely used for their less computational complexity and mo...
Citation: BMC Medical Imaging 2022 22:33 -
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease
Rest/stress myocardial CT perfusion (CTP) has high diagnostic value for coronary artery disease (CAD), but the additional value of resting CTP especially dual-energy CTP (DE-CTP) beyond coronary CT angiography...
Citation: BMC Medical Imaging 2022 22:32 -
Semi-automated histogram analysis of normal bone marrow using 18F-FDG PET/CT: correlation with clinical indicators
18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is increasingly applied to the diagnosis of bone marrow failure such as myeloproliferative neoplasm, aplastic anemia, and myelodysplastic syndrome,....
Citation: BMC Medical Imaging 2022 22:31 -
A new tool for assessing Pectus Excavatum by a semi-automatic image processing pipeline calculating the classical severity indexes and a new marker: the Volumetric Correction Index
In clinical assessment of Pectus Excavatum (PE), the indication to surgery is based not only on symptoms but also on quantitative markers calculated from Computed Tomography (CT) or Magnetic Resonance Imaging ...
Citation: BMC Medical Imaging 2022 22:30 -
The application research of AI image recognition and processing technology in the early diagnosis of the COVID-19
This study intends to establish a combined prediction model that integrates the clinical symptoms,the lung lesion volume, and the radiomics features of patients with COVID-19, resulting in a new model to predi...
Citation: BMC Medical Imaging 2022 22:29 -
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience
To investigate the influence of artificial intelligence (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists.
Citation: BMC Medical Imaging 2022 22:28 -
Effectiveness and safety of ultrasound-guided percutaneous microwave ablation for hepatic alveolar echinococcosis
Microwave ablation (MWA) is a popular therapy for liver malignant tumor in recent years. Few studies have been conducted on its use in the treatment of hepatic alveolar echinococcosis (HAE). The study aims to ...
Citation: BMC Medical Imaging 2022 22:27 -
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults
To clarify the differences in diaphragm thickness between male and female participants in healthy young adults with ultrasonography using the mean intima media thickness (IMT) method and to investigate the rel...
Citation: BMC Medical Imaging 2022 22:26 -
Liver stiffness assessed by real-time two-dimensional shear wave elastography predicts hypersplenism in patients with Wilson’s disease: a prospective study
The current study aimed to explore the value of liver stiffness assessed by two-dimensional real-time shear wave elastography (2D-SWE) to predict hypersplenism occurrence in Wilson’s disease (WD) patients.
Citation: BMC Medical Imaging 2022 22:25 -
Magnetic resonance imaging evaluation of the correlation between calcific tendinitis and rotator cuff injury
This study aims to evaluate the incidence of calcific tendinitis (CaT) in rotator cuff tears (RCTs) and to assess the correlation between CaT and RCTs with magnetic resonance imaging (MRI).
Citation: BMC Medical Imaging 2022 22:24 -
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis
To evaluate the utility of histogram analysis (HA) of apparent diffusion coefficient (ADC) values to predict the overall survival (OS) in patients with pancreatic ductal adenocarcinoma (PDAC) and to correlate ...
Citation: BMC Medical Imaging 2022 22:23 -
Correlative analysis of lung CT findings in patients with Birt–Hogg–Dubé Syndrome and the occurrence of spontaneous pneumothorax: a preliminary study
The diagnosis of patients with Birt–Hogg–Dubé (BHD) syndrome is always delayed (even for more than 10 years). Improving the understanding and diagnosis of this disease is vital for clinicians and radiologists....
Citation: BMC Medical Imaging 2022 22:22 -
Quantitative CT comparison between COVID-19 and mycoplasma pneumonia suspected as COVID-19: a longitudinal study
The purpose of this study was to compare imaging features between COVID-19 and mycoplasma pneumonia (MP).
Citation: BMC Medical Imaging 2022 22:21 -
Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT
Kinetic parameters estimated with dynamic 18F-FDG PET/CT can help to characterize hepatocellular carcinoma (HCC). We aim to evaluate the feasibility of the gravitational search algorithm (GSA) for kinetic paramet...
Citation: BMC Medical Imaging 2022 22:20 -
Color-coded summation images for the evaluation of blood flow in endovascular aortic dissection fenestration
To analyze the benefit of color-coded summation images in the assessment of target lumen perfusion in patients with aortic dissection and malperfusion syndrome before and after fluoroscopy-guided aortic fenest...
Citation: BMC Medical Imaging 2022 22:19 -
Clinical language search algorithm from free-text: facilitating appropriate imaging
The comprehensiveness and maintenance of the American College of Radiology (ACR) Appropriateness Criteria (AC) makes it a unique resource for evidence-based clinical imaging decision support, but it is underut...
Citation: BMC Medical Imaging 2022 22:18 -
Optical coherence tomography angiography in herpetic leucoma
Herpes simplex virus (HSV) keratitis remains a leading infectious cause of blindness worldwide. Although all forms of HSV keratitis are commonly recurrent, the risk is greatest in stromal keratitis, which is t...
Citation: BMC Medical Imaging 2022 22:17 -
Analysis of the value of enhanced CT combined with texture analysis in the differential diagnosis of pulmonary sclerosing pneumocytoma and atypical peripheral lung cancer: a feasibility study
As a rare benign lung tumour, pulmonary sclerosing pneumocytoma (PSP) is often misdiagnosed as atypical peripheral lung cancer (APLC) on routine imaging examinations. This study explored the value of enhanced ...
Citation: BMC Medical Imaging 2022 22:16 -
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma
Renal cell carcinoma (RCC) is a heterogeneous group of kidney cancers. Renal capsule invasion is an essential factor for RCC staging. To develop radiomics models from CT images for the preoperative prediction ...
Citation: BMC Medical Imaging 2022 22:15 -
Improved U-Net3+ with stage residual for brain tumor segmentation
For the encoding part of U-Net3+,the ability of brain tumor feature extraction is insufficient, as a result, the features can not be fused well during up-sampling, and the accuracy of segmentation will reduce.
Citation: BMC Medical Imaging 2022 22:14 -
Non-cardiovascular findings on chest CT angiography in children with congenital heart disease: How important are they?
There are only a few publications about the non-cardiovascular findings in children with congenital heart diseases explored by chest CT angiography. The purpose of our study is to evaluate the prevalence of no...
Citation: BMC Medical Imaging 2022 22:13 -
Frequency and anatomic variability of the mandibular lingual foramina: a cone-beam CT study
To evaluate the distribution of lingual foramina (LF) and their correlation with demographic characteristics and mandible width, shape, and bone thickness in Caucasian Italian patients subjected to cone-beam C...
Citation: BMC Medical Imaging 2022 22:12 -
Optimization of the image contrast for the developing fetal brain using 3D radial VIBE sequence in 3 T magnetic resonance imaging
Faster and motion robust magnetic resonance imaging (MRI) sequences are desirable in fetal brain MRI. T1-weighted images are essential for evaluating fetal brain development. We optimized the radial volumetric...
Citation: BMC Medical Imaging 2022 22:11 -
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features
Automated segmentation of coronary arteries is a crucial step for computer-aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation of the coronary artery is challenging in X-r...
Citation: BMC Medical Imaging 2022 22:10 -
Volumetric accuracy of different imaging modalities in acute intracerebral hemorrhage
Follow-up imaging in intracerebral hemorrhage is not standardized and radiologists rely on different imaging modalities to determine hematoma growth. This study assesses the volumetric accuracy of different im...
Citation: BMC Medical Imaging 2022 22:9 -
Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation
Retinal vessel segmentation benefits significantly from deep learning. Its performance relies on sufficient training images with accurate ground-truth segmentation, which are usually manually annotated in the ...
Citation: BMC Medical Imaging 2022 22:8 -
Purposeful use of multimodality imaging in the diagnosis of caseous mitral annular calcification: a case series report
Caseous mitral annular calcification (CMAC) is a rare liquefactive variant of mitral annular calcification (MAC) and superficially mimics a cardiac vegetation or abscess. CMAC is viewed as a benign condition o...
Citation: BMC Medical Imaging 2022 22:7 -
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework
Glioma is the most common brain malignant tumor, with a high morbidity rate and a mortality rate of more than three percent, which seriously endangers human health. The main method of acquiring brain tumors in...
Citation: BMC Medical Imaging 2022 22:6 -
Deep learning-based pancreas volume assessment in individuals with type 1 diabetes
Pancreas volume is reduced in individuals with diabetes and in autoantibody positive individuals at high risk for developing type 1 diabetes (T1D). Studies investigating pancreas volume are underway to assess ...
Citation: BMC Medical Imaging 2022 22:5 -
Automatic exposure compensation in intraoral digital radiography: effect on the gray values of dental tissues
This study aimed to investigate the effect of automatic exposure compensation (AEC) of intraoral radiographic systems on the gray values of dental tissues in images acquired with or without high-density mater...
Citation: BMC Medical Imaging 2022 22:4 -
Application value of the treatment of breast cancer bone metastases with radioactive seed 125I implantation under CT-guidance
To investigate the application value of the treatment of breast cancer bone metastases with radioactive seed 125I implantation under CT-guidance.
Citation: BMC Medical Imaging 2022 22:3 -
Prenatal prediction of neonatal respiratory morbidity: a radiomics method based on imbalanced few-shot fetal lung ultrasound images
To develop a non-invasive method for the prenatal prediction of neonatal respiratory morbidity (NRM) by a novel radiomics method based on imbalanced few-shot fetal lung ultrasound images.
Citation: BMC Medical Imaging 2022 22:2 -
A method for improving semantic segmentation using thermographic images in infants
Regulation of temperature is clinically important in the care of neonates because it has a significant impact on prognosis. Although probes that make contact with the skin are widely used to monitor temperatur...
Citation: BMC Medical Imaging 2022 22:1 -
A review on deep learning MRI reconstruction without fully sampled k-space
Magnetic resonance imaging (MRI) is an effective auxiliary diagnostic method in clinical medicine, but it has always suffered from the problem of long acquisition time. Compressed sensing and parallel imaging ...
Citation: BMC Medical Imaging 2021 21:195 -
Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid tumors
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) histograms were used to investigate whether their parameters can distinguish between benign and malignant parotid gland tumors and further differe...
Citation: BMC Medical Imaging 2021 21:194 -
Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis
Accurately assessing axillary lymph node (ALN) status in breast cancer is vital for clinical decision making and prognosis. The purpose of this study was to evaluate the predictive value of sentinel lymph node...
Citation: BMC Medical Imaging 2021 21:193 -
Comparison of lung image quality between CT Ark and Brilliance 64 CT during COVID-19
This study is to compare the lung image quality between shelter hospital CT (CT Ark) and ordinary CT scans (Brilliance 64) scans.
Citation: BMC Medical Imaging 2021 21:192 -
Quantitative contrast enhanced dual energy CT to predict avascular necrosis: a feasibility study of proximal humerus fractures
Avascular necrosis is a delayed complication of proximal humerus fractures that increases the likelihood of poor clinical outcomes. CT scans are routinely performed to guide proximal humerus fracture managemen...
Citation: BMC Medical Imaging 2021 21:191 -
Spatial frequency analysis detects altered tissue organization following hamstring strain injury at time of injury but not return to sport
Hamstring strain injury (HSI) diagnosis is often corroborated using ultrasound. Spatial frequency analysis (SFA) is a quantitative ultrasound method that has proven useful in characterizing altered tissue orga...
Citation: BMC Medical Imaging 2021 21:190 -
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
The objective of this study is to construct a computer aided diagnosis system for normal people and pneumoconiosis using X-raysand deep learning algorithms.
Citation: BMC Medical Imaging 2021 21:189 -
Predictive role of lymphoscintigraphy undergoing lymphovenous anastomosis in patients with lower extremity lymphedema: a preliminary study
We investigated whether preoperative lymphoscintigraphy could predict the treatment response of unilateral lymphovenous anastomosis (LVA) in patients with lower extremity lymphedema.
Citation: BMC Medical Imaging 2021 21:188 -
CT Texture analysis and CT scores for characterization of fluid collections
Texture analysis derived from Computed tomography (CT) might be able to better characterize fluid collections undergoing CT-guided percutaneous drainage treatment. The present study tested, whether texture ana...
Citation: BMC Medical Imaging 2021 21:187
Annual Journal Metrics
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2022 Citation Impact
2.7 - 2-year Impact Factor
2.7 - 5-year Impact Factor
0.983 - SNIP (Source Normalized Impact per Paper)
0.535 - SJR (SCImago Journal Rank)2023 Speed
34 days submission to first editorial decision for all manuscripts (Median)
177 days submission to accept (Median)2023 Usage
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