Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas

This paper presents a robust atlas-based segmentation (ABS) algorithm for segmentation of the breast boundary in 3-D MR images. The proposed algorithm combines the well-known methodologies of ABS namely probabilistic atlas and atlas selection approaches into a single framework where two configuratio...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2015-01, Vol.34 (1), p.116-125
Main Authors: Khalvati, Farzad, Gallego-Ortiz, Cristina, Balasingham, Sharmila, Martel, Anne L.
Format: Article
Language:English
Subjects:
ABS
Accuracy
Adolescent
Adult
Algorithms
Atlas-based segmentation
Breast
Breast - anatomy & histology
breast magnetic resonance imaging (MRI)
Female
Humans
Image acquisition
image registration
Image segmentation
Imaging
Imaging, Three-Dimensional - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Middle Aged
Models, Statistical
Probabilistic logic
Segmentation
Three dimensional
Three-dimensional displays
Young Adult
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Summary:This paper presents a robust atlas-based segmentation (ABS) algorithm for segmentation of the breast boundary in 3-D MR images. The proposed algorithm combines the well-known methodologies of ABS namely probabilistic atlas and atlas selection approaches into a single framework where two configurations are realized. The algorithm uses phase congruency maps to create an atlas which is robust to intensity variations. This allows an atlas derived from images acquired with one MR imaging sequence to be used to segment images acquired with a different MR imaging sequence and eliminates the need for intensity-based registration. Images acquired using a Dixon sequence were used to create an atlas which was used to segment both Dixon images (intra-sequence) and T1-weighted images (inter-sequence). In both cases, highly accurate results were achieved with the median Dice similarity coefficient values of 94% ±4% and 87±6.5%, respectively.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2014.2347703