Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens
Bone strength depends on both mineral content and bone structure. Measurements of bone microstructure on specimens can be performed by micro-CT. In vivo measurements are reliably performed by high-resolution p... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - May 1, 2024 Category: Radiology Authors: Eva Klintstr öm, Benjamin Klintström, Örjan Smedby and Rodrigo Moreno Tags: Research Source Type: research
Clinical application of computed tomographic volumetric imaging in postoperative lung function assessment in patients with lung cancer
To evaluate the effectiveness of the computed tomographic (CT) volumetric analysis in postoperative lung function assessment and the predicting value for postoperative complications in patients who had segment... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 29, 2024 Category: Radiology Authors: Zhifu Xu, Xili Wang, Zhanxian Shen, Biao Shi and Yanni Zhang Tags: Research Source Type: research
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics
To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 29, 2024 Category: Radiology Authors: J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan and Suresh Guluwadi Tags: Research Source Type: research
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram
The aim of the study is to assess the efficacy of the established computed tomography (CT)-based radiomics nomogram combined with radiomics and clinical features for predicting muscle invasion status in bladde... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 27, 2024 Category: Radiology Authors: Rui Zhang, Shijun Jia, Linhan Zhai, Feng Wu, Shuang Zhang and Feng Li Tags: Research Source Type: research
Quantitative analysis of the eyelid curvature in patients with blepharoptosis
The aim of this study was to evaluate the ability of two novel eyelid curvature measurements to distinguish between normal eyes and different severities of blepharoptosis. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 26, 2024 Category: Radiology Authors: Elias Khalili Pour, Tahereh Mahmoudi, Hooman Ahmadzadeh, Seyed Mohsen Rafizadeh and Hamid Riazi-Esfahani Tags: Research Source Type: research
MRCT and CT in the diagnosis of pediatric disease imaging: assessing imaging performance and clinical effects
This study focused on analyzing the clinical value and effect of magnetic resonance imaging plus computed tomography (MRCT) and CT in the clinical diagnosis of cerebral palsy in children. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 25, 2024 Category: Radiology Authors: Xiaofei Wang and Wen Hu Tags: Research Source Type: research
Imaging segmentation mechanism for rectal tumors using improved U-Net
In radiation therapy, cancerous region segmentation in magnetic resonance images (MRI) is a critical step. For rectal cancer, the automatic segmentation of rectal tumors from an MRI is a great challenge. There... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 23, 2024 Category: Radiology Authors: Kenan Zhang, Xiaotang Yang, Yanfen Cui, Jumin Zhao and Dengao Li Tags: Research Source Type: research
Kidney dynamic SPECT acquisition on a CZT swiveling-detector ring camera: an in vivo pilot study
Large field of view CZT SPECT cameras with a ring geometry are available for some years now. Thanks to their good sensitivity and high temporal resolution, general dynamic SPECT imaging may be performed more e... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 22, 2024 Category: Radiology Authors: Michel Hesse, Florian Dupont, Nizar Mourad, Pavel Babczenko, Gwen Beaurin, Daela Xhema, Eliano Bonaccorsi-Riani, Fran çois Jamar and Renaud Lhommel Tags: Research Source Type: research
Comparison of vestibular aqueduct visualization on computed tomography and magnetic resonance imaging in patients with M énière’s disease
The vestibular aqueduct (VA) serves an essential role in homeostasis of the inner ear and pathogenesis of M énière’s disease (MD). The bony VA can be clearly depicted by high-resolution computed tomography (HRC... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 22, 2024 Category: Radiology Authors: Kaijun Xia, Ping Lei, Yingzhao Liu, Cen Chen, Hui Pan, Yangming Leng and Bo Liu Tags: Research Source Type: research
Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study
The study aimed to develop and validate a deep learning-based Computer Aided Triage (CADt) algorithm for detecting pleural effusion in chest radiographs using an active learning (AL) framework. This is aimed a... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 19, 2024 Category: Radiology Authors: Joseph Chang, Bo-Ru Lin, Ti-Hao Wang and Chung-Ming Chen Tags: Research Source Type: research
Construction of a nomogram for predicting compensated cirrhosis with Wilson ’s disease based on non-invasive indicators
Wilson ’s disease (WD) often leads to liver fibrosis and cirrhosis, and early diagnosis of WD cirrhosis is essential. Currently, there are few non-invasive prediction models for WD cirrhosis. The purpose of thi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 16, 2024 Category: Radiology Authors: Yan Li, Jing Ping Wang and Xiaoli Zhu Tags: Research Source Type: research
Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer
This study explored the value of DLR based... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 16, 2024 Category: Radiology Authors: Wenci Liu, Wubiao Chen, Jun Xia, Zhendong Lu, Youwen Fu, Yuange Li and Zhi Tan Tags: Research Source Type: research
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Accurate preoperative identification of ovarian tumour subtypes is imperative for patients as it enables physicians to custom-tailor precise and individualized management strategies. So, we have developed an u... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 15, 2024 Category: Radiology Authors: Yangchun Du, Wenwen Guo, Yanju Xiao, Haining Chen, Jinxiu Yao and Ji Wu Tags: Research Source Type: research
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study
This study investigated and compared the effects of Gd enhancement on brain tumours with a half-dose of contrast medium at 5.0 T and with a full dose at 3.0 T. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 13, 2024 Category: Radiology Authors: Zhiyong Jiang, Wenbo Sun, Dan Xu, Hao Mei, Jianmin Yuan, Xiaopeng Song, Chao Ma and Haibo Xu Tags: Research Source Type: research
Role of radiomics in staging liver fibrosis: a meta-analysis
This study evaluates the role of radiomics in staging liver fibrosis. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 12, 2024 Category: Radiology Authors: Xiao-min Wang and Xiao-jing Zhang Tags: Research Source Type: research
