Methods on Skull Stripping of MRI Head Scan Images-a Review

被引:125
作者
Kalavathi, P. [1 ]
Prasath, V. B. Surya [2 ]
机构
[1] Deemed Univ, Gandhigram Rural Inst, Dept Comp Sci & Applicat, Gandhigram 624302, Tamil Nadu, India
[2] Univ Missouri, Dept Comp Sci, Computat Imaging & VisAnal CIVA Lab, Columbia, MO 65211 USA
关键词
Skull stripping; Brain segmentation; Brain extraction; MRI brain; Brain structure segmentation; AUTOMATIC SEGMENTATION; BRAIN SEGMENTATION; INTENSITY NONUNIFORMITY; TISSUE CLASSIFICATION; META-ALGORITHM; LEVEL SET; SURFACE; VALIDATION; EXTRACTION; HIPPOCAMPUS;
D O I
10.1007/s10278-015-9847-8
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The high resolution magnetic resonance (MR) brain images contain some non-brain tissues such as skin, fat, muscle, neck, and eye balls compared to the functional images namely positron emission tomography (PET), single photon emission computed tomography (SPECT), and functional magnetic resonance imaging (fMRI) which usually contain relatively less non-brain tissues. The presence of these non-brain tissues is considered as a major obstacle for automatic brain image segmentation and analysis techniques. Therefore, quantitative morphometric studies of MR brain images often require a preliminary processing to isolate the brain from extra-cranial or non-brain tissues, commonly referred to as skull stripping. This paper describes the available methods on skull stripping and an exploratory review of recent literature on the existing skull stripping methods.
引用
收藏
页码:365 / 379
页数:15
相关论文
共 106 条
[1]   Model creation and deformation for the automatic segmentation of the brain in MR images [J].
Aboutanos, GB ;
Nikanne, J ;
Watkins, N ;
Dawant, BM .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1999, 46 (11) :1346-1356
[2]  
Abrmoff MD., 2004, Image Processing with ImageJ, V11, P36, DOI DOI 10.1201/9781420005615.AX4
[3]   Voxel-based morphometry - The methods [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2000, 11 (06) :805-821
[4]   Unified segmentation [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2005, 26 (03) :839-851
[5]   Fully automatic segmentation of the brain in MRI [J].
Atkins, MS ;
Mackiewich, BT .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1998, 17 (01) :98-107
[6]  
Atkins MS, 2001, P SOC PHOTO-OPT INS, V4684, P1837
[7]   Segmentation of brain 3D MR images using level sets and dense registration [J].
Baillard, C ;
Hellier, P ;
Barillot, C .
MEDICAL IMAGE ANALYSIS, 2001, 5 (03) :185-194
[8]  
Bauer S, 2011, ANN M SWISS SOC BIOM, P2
[9]  
Bauer S., 2012, Insight Journal
[10]   Gender differences in the left inferior frontal gyrus in normal children [J].
Blanton, RE ;
Levitt, JG ;
Peterson, JR ;
Fadale, D ;
Sporty, ML ;
Lee, M ;
To, D ;
Mormino, EC ;
Thompson, PM ;
McCracken, JT ;
Toga, AW .
NEUROIMAGE, 2004, 22 (02) :626-636