1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Identification of breast contour for nipple segmentation in breast magnetic resonance images
Rent:
Rent this article for
USD
10.1118/1.4861709
/content/aapm/journal/medphys/41/2/10.1118/1.4861709
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/41/2/10.1118/1.4861709

Figures

Image of FIG. 1.
FIG. 1.

(a) Original breast MR image; (b) region of interest is defined.

Image of FIG. 2.
FIG. 2.

(a) Simulated curve for chest wall. (c) Result of chest removal in the breast image.

Image of FIG. 3.
FIG. 3.

Determination of the turning point through the middle point and point of tangency.

Image of FIG. 4.
FIG. 4.

(a) Four histograms of pixel distributions are created to determine the nipple position. (b) The region of the nipple is detected and highlighted in bright color.

Image of FIG. 5.
FIG. 5.

Representatives of nine sets of breast MR images used for performance evaluation.

Image of FIG. 6.
FIG. 6.

The different sampling scopes of contour points for curve fitting. The scopes of Dmin, Dmax, and (Dmin+Dmax)/2 are the smallest, middle, largest circles, respectively.

Image of FIG. 7.
FIG. 7.

Nipple regions covered for computing Dice coefficient. The region delineated by the expert: the darker regions. The region detected by the proposed method: brighter regions + darker regions.

Image of FIG. 8.
FIG. 8.

RMSE comparison of simulated breast contour using four different sampling methods for Case 3. (a) YBnd: left = 2.9369, right = 2.0299; (b) Dmax: left = 2.7435, right = 2.0688; (c) Dmin: left = 0.6724, right = 1.4765; (d) (Dmin+Dmax)/2: left = 1.2377, right = 0.6250.

Image of FIG. 9.
FIG. 9.

RMSE comparison of simulated breast contour using four different sampling methods for Case 6. (a) YBnd: left = 1.7205, right = 1.6747; (b) Dmax: left = 1.2519, right = 1.5747; (c) Dmin: left = 3.0436, right = 2.0368; (d) (Dmin+Dmax)/2: left = 2.5429, right = 1.9511.

Image of FIG. 10.
FIG. 10.

RMSE comparison of simulated breast contour using four different sampling methods for Case 9. (a) YBnd: right = 3.0001; (b) Dmax: right = 3.1413; (c) Dmin: right = 1.2067; (d) (Dmin+Dmax)/2: right = 2.228.

Tables

Generic image for table
TABLE I.

A comparison of different methods for estimating root mean square error (RMSE). Unit: pixel.

Generic image for table
TABLE II.

The three sets of null hypotheses to be tested.

Generic image for table
TABLE III.

Three ANOVA test results.

Generic image for table
TABLE IV.

Dice coefficients of the nine cases measured by the proposed method.

Generic image for table
TABLE V.

Centroid difference of the nine cases measured in the compared methods.

Loading

Article metrics loading...

/content/aapm/journal/medphys/41/2/10.1118/1.4861709
2014-01-21
2014-04-18
Loading

Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Identification of breast contour for nipple segmentation in breast magnetic resonance images
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/41/2/10.1118/1.4861709
10.1118/1.4861709
SEARCH_EXPAND_ITEM