DocumentCode :
1517683
Title :
Analysis of Image Combination Methods for Conjugate Breast Scintigraphy
Author :
Judy, Patricia G. ; Gong, Zongyi ; Dinion, Nicole L. ; Welch, Benjamin L. ; Saviour, Torre St ; Kieper, Doug ; Majewski, Stan ; McKisson, John ; Kross, Brian ; Proffitt, James ; Stolin, Alexander V. ; More, Mitali J. ; Williams, Mark B.
Author_Institution :
Univ. of Virginia, Charlottesville, VA, USA
Volume :
57
Issue :
3
fYear :
2010
fDate :
6/1/2010 12:00:00 AM
Firstpage :
1146
Lastpage :
1154
Abstract :
The main objective of the present study was to determine if combining the two images from a conjugate counting system might improve the contrast and signal-to-noise ratio (SNR) of small lesions in all regions of the breast compared to images from a single camera. Several methods for combining the opposing pixels of the two camera images were compared: multiplication, geometric mean, and summation. The image quality metrics measured were spatial resolution, lesion contrast and lesion SNR. These quantities were evaluated both theoretically and experimentally. A capillary phantom was used to measure the spatial resolution as a function of lesion depth and to assess the translation and angular offsets between the two cameras. An acrylic box phantom, with spherical lesions suspended inside, was used to evaluate contrast and SNR as a function of lesion position. Both theoretically and experimentally the spatial resolution in the product images was superior to that in the single images, geometric mean or summation images. Relative to the single camera images, the geometric mean or the summed images, the lesion contrast and SNR of the product images were superior, irrespective of lesion depth, and were more constant with changing lesion depth compared to the single camera images. These findings suggest that improved lesion detectability is possible by imaging simultaneously from both sides of the breast, and forming a combined image using pixel-by-pixel multiplication. This may be especially important if the location of the lesion within the breast is not known a priori.
Keywords :
medical image processing; phantoms; radioisotope imaging; acrylic box phantom; capillary phantom; conjugate breast scintigraphy; conjugate counting system; image combination method; image contrast; image quality metric; pixel-by-pixel multiplication; small lesion; spherical lesion; Breast cancer; Cameras; Cancer detection; Image analysis; Imaging phantoms; Lesions; Mammography; Pixel; Spatial resolution; US Department of Energy; Breast scintigraphy; conjugate imaging; molecular breast imaging;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2009.2038472
Filename :
5485115
Link To Document :
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