scholarly journals B 1 inhomogeneity correction of RARE MRI with transceive surface radiofrequency probes

2020 ◽  
Vol 84 (5) ◽  
pp. 2684-2701
Author(s):  
Paula Ramos Delgado ◽  
Andre Kuehne ◽  
João S. Periquito ◽  
Jason M. Millward ◽  
Andreas Pohlmann ◽  
...  
2001 ◽  
Author(s):  
Dongqing Chen ◽  
Lihong Li ◽  
Daeki Yoon ◽  
J. H. Lee ◽  
Zhengrong Liang

2017 ◽  
Vol 12 (4) ◽  
pp. 791-798 ◽  
Author(s):  
Hui Liu ◽  
Pinpin Tang ◽  
Dongmei Guo ◽  
HaiXia Liu ◽  
Yuanjie Zheng ◽  
...  

2013 ◽  
Vol 38 (2) ◽  
pp. 74 ◽  
Author(s):  
Mohammad RasaGolrokh Nodehi ◽  
SeyyedRabie Mahdavi ◽  
Somaye Gholami ◽  
HamidReza Khosravi ◽  
Khadijeh Asnaashari

2007 ◽  
Vol 11 (4) ◽  
pp. 336-345 ◽  
Author(s):  
José V. Manjón ◽  
Juan J. Lull ◽  
José Carbonell-Caballero ◽  
Gracián García-Martí ◽  
Luís Martí-Bonmatí ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Lin Wu ◽  
Tian He ◽  
Jie Yu ◽  
Hang Liu ◽  
Shuang Zhang ◽  
...  

BACKGROUND: Addressing intensity inhomogeneity is critical in magnetic resonance imaging (MRI) because associated errors can adversely affect post-processing and quantitative analysis of images (i.e., segmentation, registration, etc.), as well as the accuracy of clinical diagnosis. Although several prior methods have been proposed to eliminate or correct intensity inhomogeneity, some significant disadvantages have remained, including alteration of tissue contrast, poor reliability and robustness of algorithms, and prolonged acquisition time. OBJECTIVE: In this study, we propose an intensity inhomogeneity correction method based on volume and surface coils simultaneous reception (VSSR). METHODS: The VSSR method comprises of two major steps: 1) simultaneous image acquisition from both volume and surface coils and 2) denoising of volume coil images and polynomial surface fitting of bias field. Extensive in vivo experiments were performed considering various anatomical structures, acquisition sequences, imaging resolutions, and orientations. In terms of correction performance, the proposed VSSR method was comparatively evaluated against several popular methods, including multiplicative intrinsic component optimization and improved nonparametric nonuniform intensity normalization bias correction methods. RESULTS: Experimental results show that VSSR is more robust and reliable and does not require prolonged acquisition time with the volume coil. CONCLUSION: The VSSR may be considered suitable for general implementation.


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