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 ◽  
...  
Keyword(s):  
Inhomogeneity Correction

Renormalization method for inhomogeneity correction of MR images

2001 ◽  
Author(s):  
Dongqing Chen ◽  
Lihong Li ◽  
Daeki Yoon ◽  
J. H. Lee ◽  
Zhengrong Liang
Keyword(s):  
Mr Images ◽  
Inhomogeneity Correction ◽  
Renormalization Method

Liver MRI segmentation with edge-preserved intensity inhomogeneity correction

2017 ◽  
Vol 12 (4) ◽  
pp. 791-798 ◽  
Author(s):  
Hui Liu ◽  
Pinpin Tang ◽  
Dongmei Guo ◽  
HaiXia Liu ◽  
Yuanjie Zheng ◽  
...  
Keyword(s):  
Intensity Inhomogeneity ◽  
Liver Mri ◽  
Mri Segmentation ◽  
Inhomogeneity Correction

Inhomogeneity Correction to Exchange Potential

1970 ◽  
Vol 2 (2) ◽  
pp. 545-546 ◽  
Author(s):  
J. W. Darewych
Keyword(s):  
Exchange Potential ◽  
Inhomogeneity Correction

scholarly journals Spline Based Inhomogeneity Correction for 11C-PIB PET Segmentation Using Expectation Maximization

2007 ◽  
pp. 228-235 ◽  
Author(s):  
Parnesh Raniga ◽  
Pierrick Bourgeat ◽  
Victor Villemagne ◽  
Graeme O’Keefe ◽  
Christopher Rowe ◽  
...  
Keyword(s):  
Expectation Maximization ◽  
Inhomogeneity Correction

scholarly journals Dosimetric comparison of different inhomogeneity correction algorithms for external photon beam dose calculations

2013 ◽  
Vol 38 (2) ◽  
pp. 74 ◽  
Author(s):  
Mohammad RasaGolrokh Nodehi ◽  
SeyyedRabie Mahdavi ◽  
Somaye Gholami ◽  
HamidReza Khosravi ◽  
Khadijeh Asnaashari
Keyword(s):  
Photon Beam ◽  
Dose Calculations ◽  
Dosimetric Comparison ◽  
Inhomogeneity Correction ◽  
Beam Dose

A nonparametric MRI inhomogeneity correction method

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

Volume and surface coil simultaneous reception (VSSR) method for intensity inhomogeneity correction in MRI

2021 ◽  
pp. 1-12
Author(s):  
Lin Wu ◽  
Tian He ◽  
Jie Yu ◽  
Hang Liu ◽  
Shuang Zhang ◽  
...  
Keyword(s):  
Bias Field ◽  
Correction Method ◽  
Surface Coil ◽  
Intensity Inhomogeneity ◽  
Acquisition Time ◽  
Surface Coils ◽  
In Vivo Experiments ◽  
Inhomogeneity Correction ◽  
Volume Coil

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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