Abstract
Purpose: Cone-beam breast computed tomography (CBBCT), a promising breast cancer diagnostic technique, has been under investigation for the past decade. However, owing to scattered radiation and beam hardening, CT numbers are not uniform on CBBCT images. This is known as cupping artifact, and it presents an obstacle for threshold-based volume segmentation. In this study, we proposed a general post-reconstruction method for cupping artifact correction. Methods: There were four steps in the proposed method. First, three types of local region histogram peaks were calculated: adipose peaks with low CT numbers, glandular peaks with high CT numbers, and unidentified peaks. Second, a linear discriminant analysis classifier, which was trained by identified adipose and glandular peaks, was employed to identify the unidentified peaks as adipose or glandular peaks. Third, adipose background signal profile was fitted according to the adipose peaks using the least squares method. Finally, the adipose background signal profile was subtracted from original image to obtain cupping corrected image Results: In experimental study, standard deviation of adipose tissue CT numbers was obviously reduced and the CT numbers were more uniform after cupping correction by proposed method; in simulation study, root-mean-square errors were significantly reduced for both symmetric and asymmetric cupping artifacts, indicating that the proposed method was effective to both artifacts. Conclusions: A general method without a circularly symmetric assumption was proposed to correct cupping artifacts in CBBCT images for breast. It may be properly applied to images of real patient breasts with natural pendent geometry.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1233-1246 |
| Number of pages | 14 |
| Journal | International journal of computer assisted radiology and surgery |
| Volume | 11 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 1 2016 |
Fingerprint
Keywords
- Background fitting
- Cone-beam breast CT
- CT number uniformity
- Cupping artifact correction
ASJC Scopus subject areas
- Surgery
- Radiology Nuclear Medicine and imaging
- Health Informatics
Cite this
A general method for cupping artifact correction of cone-beam breast computed tomography images. / Qu, Xiaolei; Lai, Chao Jen; Zhong, Yuncheng; Yi, Ying; Shaw, Chris C.
In: International journal of computer assisted radiology and surgery, Vol. 11, No. 7, 01.07.2016, p. 1233-1246.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A general method for cupping artifact correction of cone-beam breast computed tomography images
AU - Qu, Xiaolei
AU - Lai, Chao Jen
AU - Zhong, Yuncheng
AU - Yi, Ying
AU - Shaw, Chris C.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - Purpose: Cone-beam breast computed tomography (CBBCT), a promising breast cancer diagnostic technique, has been under investigation for the past decade. However, owing to scattered radiation and beam hardening, CT numbers are not uniform on CBBCT images. This is known as cupping artifact, and it presents an obstacle for threshold-based volume segmentation. In this study, we proposed a general post-reconstruction method for cupping artifact correction. Methods: There were four steps in the proposed method. First, three types of local region histogram peaks were calculated: adipose peaks with low CT numbers, glandular peaks with high CT numbers, and unidentified peaks. Second, a linear discriminant analysis classifier, which was trained by identified adipose and glandular peaks, was employed to identify the unidentified peaks as adipose or glandular peaks. Third, adipose background signal profile was fitted according to the adipose peaks using the least squares method. Finally, the adipose background signal profile was subtracted from original image to obtain cupping corrected image Results: In experimental study, standard deviation of adipose tissue CT numbers was obviously reduced and the CT numbers were more uniform after cupping correction by proposed method; in simulation study, root-mean-square errors were significantly reduced for both symmetric and asymmetric cupping artifacts, indicating that the proposed method was effective to both artifacts. Conclusions: A general method without a circularly symmetric assumption was proposed to correct cupping artifacts in CBBCT images for breast. It may be properly applied to images of real patient breasts with natural pendent geometry.
AB - Purpose: Cone-beam breast computed tomography (CBBCT), a promising breast cancer diagnostic technique, has been under investigation for the past decade. However, owing to scattered radiation and beam hardening, CT numbers are not uniform on CBBCT images. This is known as cupping artifact, and it presents an obstacle for threshold-based volume segmentation. In this study, we proposed a general post-reconstruction method for cupping artifact correction. Methods: There were four steps in the proposed method. First, three types of local region histogram peaks were calculated: adipose peaks with low CT numbers, glandular peaks with high CT numbers, and unidentified peaks. Second, a linear discriminant analysis classifier, which was trained by identified adipose and glandular peaks, was employed to identify the unidentified peaks as adipose or glandular peaks. Third, adipose background signal profile was fitted according to the adipose peaks using the least squares method. Finally, the adipose background signal profile was subtracted from original image to obtain cupping corrected image Results: In experimental study, standard deviation of adipose tissue CT numbers was obviously reduced and the CT numbers were more uniform after cupping correction by proposed method; in simulation study, root-mean-square errors were significantly reduced for both symmetric and asymmetric cupping artifacts, indicating that the proposed method was effective to both artifacts. Conclusions: A general method without a circularly symmetric assumption was proposed to correct cupping artifacts in CBBCT images for breast. It may be properly applied to images of real patient breasts with natural pendent geometry.
KW - Background fitting
KW - Cone-beam breast CT
KW - CT number uniformity
KW - Cupping artifact correction
UR - http://www.scopus.com/inward/record.url?scp=84945585629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84945585629&partnerID=8YFLogxK
U2 - 10.1007/s11548-015-1317-8
DO - 10.1007/s11548-015-1317-8
M3 - Article
C2 - 26514684
AN - SCOPUS:84945585629
VL - 11
SP - 1233
EP - 1246
JO - Computer-Assisted Radiology and Surgery
JF - Computer-Assisted Radiology and Surgery
SN - 1861-6410
IS - 7
ER -