Fusion of coregistered cross-modality images using a temporally alternating display method

被引:15
作者
Lee, JS
Kim, B
Chee, Y
Kwark, C
Lee, MC
Park, KS [1 ]
机构
[1] Seoul Natl Univ, Coll Med, Dept Biomed Engn, Seoul, South Korea
[2] Seoul Natl Univ, Interdisciplinary Program Med & Biol Engn Major, Seoul, South Korea
[3] Seoul Natl Univ, Inst Med & Biol Engn, Seoul, South Korea
[4] Seoul Natl Univ, Coll Med, Dept Nucl Med, Seoul, South Korea
关键词
coregistration; visualisation; fusion; PET;
D O I
10.1007/BF02344766
中图分类号
TP39 [计算机的应用];
学科分类号
081203 [计算机应用技术]; 0835 [软件工程];
摘要
As an aid to the interpretation of functional images, cross-modality coregistration of functional and anatomical images has grown rapidly. Various ways of easily interpreting and visualising coregistered images have previously been investigated; for their display, an intensity-weighted temporally alternating method is used. For brain images, geometric registration involves the automatic alignment method, using the head scalp boundary extracted from the sinogram of a PET emission scan and a surface-matching algorithm; images of the chest or abdomen are registered semi-automatically using a paired point matching algorithm. For the simultaneous display of geometrically registered images, rapid image switching is applied; both images are written with independent colour scales. The rapidly alternating display of two images, synchronised with monitor scanning, induces the fusion of images in the human visual perception system. The accuracy of registration of PET and MRI images is within 2 mm for two point sets. A resulting image is intensified by weighting the display time and/or controlling the intensify map of each image with the degree of interest. This method may be useful for the interpretation and visualisation of coregistered images.
引用
收藏
页码:127 / 132
页数:6
相关论文
共 21 条
[1]
A METHOD FOR REGISTRATION OF 3-D SHAPES [J].
BESL, PJ ;
MCKAY, ND .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (02) :239-256
[2]
HIERARCHICAL CHAMFER MATCHING - A PARAMETRIC EDGE MATCHING ALGORITHM [J].
BORGEFORS, G .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1988, 10 (06) :849-865
[3]
FARREL JE, 1991, VISION VISUAL DYSFUN, P15
[4]
An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization [J].
Grimson, WEL ;
Ettinger, GJ ;
White, SJ ;
LozanoPerez, T ;
Wells, WM ;
Kikinis, R .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1996, 15 (02) :129-140
[5]
Halligan P. W., 1991, NEUROPSYCHOL REHABIL, V1, P5, DOI [https://doi.org/10.1080/09602019108401377, DOI 10.1080/09602019108401377]
[6]
Itti L, 1997, HUM BRAIN MAPP, V5, P3, DOI 10.1002/(SICI)1097-0193(1997)5:1<3::AID-HBM2>3.0.CO
[7]
2-7
[8]
LEE JS, 1998, KOREAN J NUCL MED, V32, P414
[9]
THE BRAIN - INTEGRATED 3-DIMENSIONAL DISPLAY OF MR AND PET IMAGES [J].
LEVIN, DN ;
HU, XP ;
TAN, KK ;
GALHOTRA, S ;
PELIZZARI, CA ;
CHEN, GTY ;
BECK, RN ;
CHEN, CT ;
COOPER, MD ;
MULLAN, JF ;
HEKMATPANAH, J ;
SPIRE, JP .
RADIOLOGY, 1989, 172 (03) :783-789
[10]
MR-Based correction of brain PET measurements for heterogeneous gray matter radioactivity distribution [J].
Meltzer, CC ;
Zubieta, JK ;
Links, JM ;
Brakeman, P ;
Stumpf, MJ ;
Frost, JJ .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 1996, 16 (04) :650-658