Validation techniques for quantitative brain tumors measurements

被引:16
作者
Salman, Y. M. [1 ]
Assal, M. A. [1 ]
Badawi, A. M. [1 ]
Alian, S. M. [1 ]
El-Bayome, M. El-M. [1 ]
机构
[1] Cairo Univ, Dept Biomed Engn, MTC, Cairo, Egypt
来源
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词
region growing; active contour and quantitative measurements; SNAKES;
D O I
10.1109/IEMBS.2005.1616129
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Quantitative measurements of tumor volume becomes more realistic with the use of imaging-particularly specially when the tumor have non-ellipsoidal morphology, which remains subtle, irregular and difficult to assess by visual metric and clinical examination. The quantitative measurements depend strongly on the accuracy of the segmentation technique. The validity of brain tumor segmentation methods is an important issue in medical imaging because it has a direct impact on many applications such as surgical planning and quantitative measurements of tumor volume. Our goal was to examine two popular segmentation techniques seeded region growing and active contour "snakes" to be compared against experts' manual segmentations as the gold standard. We illustrated these methods on brain tumor volume cases using MR imaging modality.
引用
收藏
页码:7048 / 7051
页数:4
相关论文
共 21 条
[1]   SEEDED REGION GROWING [J].
ADAMS, R ;
BISCHOF, L .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1994, 16 (06) :641-647
[2]   Geodesic active contours [J].
Caselles, V ;
Kimmel, R ;
Sapiro, G .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1997, 22 (01) :61-79
[3]   ADAPTIVE IMAGE REGION-GROWING [J].
CHANG, YL ;
LI, XB .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1994, 3 (06) :868-872
[4]   Tongue carcinoma: Tumor volume measurement [J].
Chong, VFH ;
Zhou, JY ;
Khoo, JBK ;
Huang, J ;
Lim, TK .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 59 (01) :59-66
[5]   MRI measurement of brain tumor response: Comparison of visual metric and automatic segmentation [J].
Clarke, LP ;
Velthuizen, RP ;
Clark, M ;
Gaviria, J ;
Hall, L ;
Goldgof, D ;
Murtagh, R ;
Phuphanich, S ;
Brem, S .
MAGNETIC RESONANCE IMAGING, 1998, 16 (03) :271-279
[6]  
Goldenberg R, 1999, LECT NOTES COMPUT SC, V1682, P34
[7]  
HAO X, 2000, IEEE INT ULTR S PUER
[8]   Region growing: A new approach [J].
Hojjatoleslami, SA ;
Kittler, J .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (07) :1079-1084
[9]  
Ibanez L, 2003, The Insight Segmentation and Registration Toolkit Software Guide
[10]   Brain tumor volume measurement: Comparison of manual and semiautomated methods [J].
Joe, BN ;
Fukui, MB ;
Meltzer, CC ;
Huang, QS ;
Day, RS ;
Greer, PJ ;
Bozik, ME .
RADIOLOGY, 1999, 212 (03) :811-816