Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13843
Abstract: Abstract Purpose To determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of… read more here.
Keywords: mri scanners; image distortion; mri image; distortion ... See more keywords
Value of MRI/CT Image Fusion for Targeting “invisible” Lesions in Stereotactic Microwave Ablation (SMWA) of Malignant Liver Lesions: A Retrospective Analysis
Sign Up to like & getrecommendations! Published in 2020 at "CardioVascular and Interventional Radiology"
DOI: 10.1007/s00270-020-02565-8
Abstract: Purpose To assess the technical feasibility of MRI/CT image fusion and completeness of ablation treatment for primary or metastatic liver lesions invisible on contrast-enhanced CT planning scans and outcome in patients treated with stereotactic microwave… read more here.
Keywords: mri image; ablation; image fusion; fusion ... See more keywords
Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-77875-5
Abstract: This study aimed to investigate the predictive efficacy of positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) for the pathological response of advanced breast cancer to neoadjuvant chemotherapy (NAC). The breast PET/MRI image… read more here.
Keywords: image deep; mri image; breast cancer; advanced breast ... See more keywords
Deep Transfer Learning-based Multi-modal Digital Twins for Enhancement and Diagnostic Analysis of Brain MRI Image.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3168189
Abstract: OBJECTIVE To adopt deep transfer learning combined with Digital Twins (DTs) in Magnetic Resonance Imaging (MRI) medical image enhancement. METHODS MRI image enhancement method based on metamaterial composite technology is proposed by analyzing the application… read more here.
Keywords: digital twins; mri image; transfer learning; deep transfer ... See more keywords
Confidence Region Identification and Contour Detection in MRI Image
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5898479
Abstract: Tumour region extraction (RE) method identifies the area of interest in MR imaging as it also highlights tumour boundaries. Some other intensities are existing, they are not visible but have their existence in region, and… read more here.
Keywords: confidence; mri image; region; tumour ... See more keywords
A Precise Medical Imaging Approach for Brain MRI Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6447769
Abstract: Magnetic resonance imaging (MRI) is an accurate and noninvasive method employed for the diagnosis of various kinds of diseases in medical imaging. Most of the existing systems showed significant performances on small MRI datasets, while… read more here.
Keywords: classification; mri image; feature; model ... See more keywords
Observation on the Effect of MRI Image Scanning on Knee Pain in Football Injury
Sign Up to like & getrecommendations! Published in 2022 at "Scanning"
DOI: 10.1155/2022/7348978
Abstract: To study the effect of football injury on knee pain based on MRI image scanning, in this paper, a total of 31 knee injuries of 29 male professional football players from December 2012 to April… read more here.
Keywords: knee pain; football injury; mri image; football ... See more keywords
Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9990092
Abstract: One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and treatment cycle are long and the prognosis is poor. It takes a lot of time to manually identify osteosarcoma from osteosarcoma magnetic… read more here.
Keywords: mri image; segmentation method; segmentation; based transformer ... See more keywords
Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2021.746549
Abstract: Magnetic resonance imaging (MRI) is an essential clinical imaging modality for diagnosis and medical research, while various artifacts occur during the acquisition of MRI image, resulting in severe degradation of the perceptual quality and diagnostic… read more here.
Keywords: around artifact; mri image; wrap around;