TY - GEN
T1 - Automated analysis of breast tumour in the breast DCE-MR images using level set method and selective enhancement of invasive regions
AU - Teramoto, Atsushi
AU - Miyajo, Satomi
AU - Fujita, Hiroshi
AU - Yamamuro, Osamu
AU - Omi, Kumiko
AU - Nishio, Masami
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Analysis of invasive regions using breast magnetic resonance (MR) images plays an important role in diagnosis and decision-making regarding the treatment method. However, many images are obtained by MR imaging (MRI); development of an automated analysis method for breast tumours is desired. The main purpose of this study was to develop a novel method for automated analysis of the tumour region in breast MR images. First, early and late-subtraction images were obtained by subtracting early- and late-contrast-enhanced MR images, respectively, from the pre-contrast ones. Then, tumours in the images were enhanced based on the signal values of the normal mammary regions. Subsequently, using the level set method, a type of dynamic contour extraction, the outline of the tumour in the tumour-enhanced images was obtained. In order to evaluate the usefulness of the analysis method, we compared the tumour size listed in the interpretation report by a physician and analyzed the results obtained from the proposed method using clinical images from 10 cases. The mean absolute error of the size of tumours in all cases was less than 3.0 mm. These results indicate that the proposed method may be useful for the automated analysis of invasive breast tumours using breast MR images.
AB - Analysis of invasive regions using breast magnetic resonance (MR) images plays an important role in diagnosis and decision-making regarding the treatment method. However, many images are obtained by MR imaging (MRI); development of an automated analysis method for breast tumours is desired. The main purpose of this study was to develop a novel method for automated analysis of the tumour region in breast MR images. First, early and late-subtraction images were obtained by subtracting early- and late-contrast-enhanced MR images, respectively, from the pre-contrast ones. Then, tumours in the images were enhanced based on the signal values of the normal mammary regions. Subsequently, using the level set method, a type of dynamic contour extraction, the outline of the tumour in the tumour-enhanced images was obtained. In order to evaluate the usefulness of the analysis method, we compared the tumour size listed in the interpretation report by a physician and analyzed the results obtained from the proposed method using clinical images from 10 cases. The mean absolute error of the size of tumours in all cases was less than 3.0 mm. These results indicate that the proposed method may be useful for the automated analysis of invasive breast tumours using breast MR images.
UR - https://www.scopus.com/pages/publications/84977538448
UR - https://www.scopus.com/pages/publications/84977538448#tab=citedBy
U2 - 10.1007/978-3-319-41546-8_55
DO - 10.1007/978-3-319-41546-8_55
M3 - Conference contribution
AN - SCOPUS:84977538448
SN - 9783319415451
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 439
EP - 445
BT - Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings
A2 - Lang, Kristina
A2 - Tingberg, Anders
A2 - Timberg, Pontus
PB - Springer Verlag
T2 - 13th International Workshop on Breast Imaging, IWDM 2016
Y2 - 19 June 2016 through 22 June 2016
ER -