The evaluation of correction algorithms of intensity nonuniformity in breast MRI images: a phantom study

被引:1
作者
Borys, Damian [1 ]
Serafin, Wojciech [1 ]
Gorczewski, Kamil [1 ]
Kijonka, Marek [2 ,3 ]
Frackiewicz, Mariusz [1 ]
Palus, Henryk [1 ]
机构
[1] Silesian Tech Univ, Ul Akad 16, PL-44100 Gliwice, Poland
[2] Maria Sklodowska Curie Mem Canc Ctr, Dept Med Phys, Ul Wybrzeze AK 15, PL-44100 Gliwice, Poland
[3] Inst Oncol, Gliwice Branch, Ul Wybrzeze AK 15, PL-44100 Gliwice, Poland
来源
TENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2017) | 2018年 / 10696卷
关键词
nonuniformity correction; MRI; integral uniformity; phantom; INHOMOGENEITY; SEGMENTATION; N3;
D O I
10.1117/12.2309464
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this work was to test the most popular and essential algorithms of the intensity nonuniformity correction of the breast MRI imaging. In this type of MRI imaging, especially in the proximity of the coil, the signal is strong but also can produce some inhomogeneities. Evaluated methods of signal correction were: N3, N3FCM, N4, Nonparametric, and SPM. For testing purposes, a uniform phantom object was used to obtain test images using breast imaging MRI coil. To quantify the results, two measures were used: integral uniformity and standard deviation. For each algorithm minimum, average and maximum values of both evaluation factors have been calculated using the binary mask created for the phantom. In the result, two methods obtained the lowest values in these measures: N3FCM and N4, however, for the second method visually phantom was the most uniform after correction.
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页数:6
相关论文
共 7 条
[1]   Unified segmentation [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2005, 26 (03) :839-851
[2]   Simplification of breast deformation modelling to support breast cancer treatment planning [J].
Danch-Wierzchowska, Marta ;
Borys, Damian ;
Bobek-Billewicz, Barbara ;
Jarzab, Michal ;
Swierniak, Andrzej .
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2016, 36 (04) :531-536
[3]   A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI [J].
Lin, Muqing ;
Chan, Siwa ;
Chen, Jeon-Hor ;
Chang, Daniel ;
Nie, Ke ;
Chen, Shih-Ting ;
Lin, Cheng-Ju ;
Shih, Tzu-Ching ;
Nalcioglu, Orhan ;
Su, Min-Ying .
MEDICAL PHYSICS, 2011, 38 (01) :5-14
[4]   A nonparametric MRI inhomogeneity correction method [J].
Manjon, Jose V. ;
Lull, Juan J. ;
Carbonell-Caballero, Jose ;
Garcia-Marti, Gracian ;
Marti-Bonmati, Luis ;
Robles, Montserrat .
MEDICAL IMAGE ANALYSIS, 2007, 11 (04) :336-345
[5]   A nonparametric method for automatic correction of intensity nonuniformity in MRI data [J].
Sled, JG ;
Zijdenbos, AP ;
Evans, AC .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1998, 17 (01) :87-97
[6]   N4ITK: Improved N3 Bias Correction [J].
Tustison, Nicholas J. ;
Avants, Brian B. ;
Cook, Philip A. ;
Zheng, Yuanjie ;
Egan, Alexander ;
Yushkevich, Paul A. ;
Gee, James C. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2010, 29 (06) :1310-1320
[7]   A review of methods for correction of intensity inhomogeneity in MRI [J].
Vovk, Uros ;
Pernus, Franjo ;
Likar, Bostjan .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2007, 26 (03) :405-421