Skip to main content
Top
Published in: Journal of Digital Imaging 1/2012

01-02-2012

Locating the Reference Point of Symphysis Pubis in Axial CT Images

Authors: Jiyong Oh, Dae Chul Jung, Chong-Ho Choi

Published in: Journal of Imaging Informatics in Medicine | Issue 1/2012

Login to get access

Abstract

In this paper, we present an effective method to determine the reference point of symphysis pubis (SP) in an axial stack of CT images to facilitate image registration for pelvic cancer treatment. In order to reduce the computational time, the proposed method consists of two detection parts, the coarse detector, and the fine detector. The detectors check each image patch whether it contains the characteristic structure of SP. The coarse detector roughly determines the location of the reference point of SP using three types of information, which are the location and intensity of an image patch, the SP appearance, and the geometrical structure of SP. The fine detector examines around the location found by the coarse detection to refine the location of the reference point of SP. In the experiment, the average location error of the propose method was 2.23 mm, which was about the side length of two pixels. Considering that the average location error by a radiologist is 0.77 mm, the proposed method finds the reference point quite accurately. Since it takes about 10 s to locate the reference point from a stack of CT images, it is fast enough to use in real time to facilitate image registration of CT images for pelvic cancer treatment.
Literature
1.
go back to reference Hayat M: Cancer Imaging Volume 2: Instrumentation and applications. Academic, New York, 2007 Hayat M: Cancer Imaging Volume 2: Instrumentation and applications. Academic, New York, 2007
2.
go back to reference Hajnal JV, Hawkes DJ, Hill DL: Medical image registration. CRC, New York, 2001CrossRef Hajnal JV, Hawkes DJ, Hill DL: Medical image registration. CRC, New York, 2001CrossRef
3.
go back to reference Zitova B, Flusser J: Image registration methods: a survey. Image Vis Comput 21(11):977–1000, 2003CrossRef Zitova B, Flusser J: Image registration methods: a survey. Image Vis Comput 21(11):977–1000, 2003CrossRef
4.
go back to reference Coselmon MM, Balter JM, McShan DL, Kessler ML: Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines. Med Phys 31(11):2942–8, 2004PubMedCrossRef Coselmon MM, Balter JM, McShan DL, Kessler ML: Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines. Med Phys 31(11):2942–8, 2004PubMedCrossRef
5.
go back to reference Mattes D, Haynor DR, Vesselle H, Lewellen TK, Eubank W: PET-CT image registration in the chest using free-form deformation. IEEE Trans Med Imaging 22(1):120–8, 2003PubMedCrossRef Mattes D, Haynor DR, Vesselle H, Lewellen TK, Eubank W: PET-CT image registration in the chest using free-form deformation. IEEE Trans Med Imaging 22(1):120–8, 2003PubMedCrossRef
6.
go back to reference Chen H-M, Varshney PK: Mutual information-based CT-MR brain image registration using generalized partial volume joint histogram estimation. IEEE Trans Med Imaging 22(9):1111–9, 2003PubMedCrossRef Chen H-M, Varshney PK: Mutual information-based CT-MR brain image registration using generalized partial volume joint histogram estimation. IEEE Trans Med Imaging 22(9):1111–9, 2003PubMedCrossRef
7.
go back to reference Studholme C, Drapaca C, Iordanova B, Cardenas V: Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change. IEEE Trans Med Imaging 25(5):626–39, 2006PubMedCrossRef Studholme C, Drapaca C, Iordanova B, Cardenas V: Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change. IEEE Trans Med Imaging 25(5):626–39, 2006PubMedCrossRef
8.
go back to reference Pluim JPW, Maintz JBA, Viergever MA: Mutual-information-based registration of medical images: a survey. Med Imaging IEEE Trans 22(8):986–1004, 2003CrossRef Pluim JPW, Maintz JBA, Viergever MA: Mutual-information-based registration of medical images: a survey. Med Imaging IEEE Trans 22(8):986–1004, 2003CrossRef
9.
go back to reference Maes F, Vandermeulen D, Suetens P: Medical image registration using mutual information. Proc IEEE 91(10):1699–722, 2003CrossRef Maes F, Vandermeulen D, Suetens P: Medical image registration using mutual information. Proc IEEE 91(10):1699–722, 2003CrossRef
10.
go back to reference Peleg S, Dar G, Steinberg N, Peled N, Hershkovitz I, Masharawi Y: Sacral orientation revisited. Spine 32:E397–404, 2007PubMedCrossRef Peleg S, Dar G, Steinberg N, Peled N, Hershkovitz I, Masharawi Y: Sacral orientation revisited. Spine 32:E397–404, 2007PubMedCrossRef
11.
go back to reference Putz R, Muller-Gerbl M: Anatomic characteristics of the pelvic girdle. Unfallchirurg 95:164–7, 1992PubMed Putz R, Muller-Gerbl M: Anatomic characteristics of the pelvic girdle. Unfallchirurg 95:164–7, 1992PubMed
12.
go back to reference Tisnado J, Amendola MA, Walsh JW, Jordan RL, Turner MA, Krempa J: Computed tomography of the perineum. Am J Roentgenol 136(3):475–81, 1981 Tisnado J, Amendola MA, Walsh JW, Jordan RL, Turner MA, Krempa J: Computed tomography of the perineum. Am J Roentgenol 136(3):475–81, 1981
13.
go back to reference Viola P, Jones MJ: Robust real-time face detection. Int J Comput Vision 57(2):137–54, 2004CrossRef Viola P, Jones MJ: Robust real-time face detection. Int J Comput Vision 57(2):137–54, 2004CrossRef
14.
go back to reference Schapire RE, Singer Y: Improved boosting algorithms using confidence-rated predictions. Mach Learn 37(3):297–336, 1999CrossRef Schapire RE, Singer Y: Improved boosting algorithms using confidence-rated predictions. Mach Learn 37(3):297–336, 1999CrossRef
15.
go back to reference Duda RO, Hart PE, Stork DG: Pattern classification, 2nd edition. Wiley, Chichester, 2001 Duda RO, Hart PE, Stork DG: Pattern classification, 2nd edition. Wiley, Chichester, 2001
16.
go back to reference Fukunaga K: Introduction to statistical pattern recognition, 2nd edition. Academic, New York, 1990 Fukunaga K: Introduction to statistical pattern recognition, 2nd edition. Academic, New York, 1990
17.
go back to reference Belhumeur PN, Hespanha JP, Kriegman DJ: Eigenfaces vs Fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–20, 1997CrossRef Belhumeur PN, Hespanha JP, Kriegman DJ: Eigenfaces vs Fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–20, 1997CrossRef
18.
go back to reference Zhou XS, Huang TS: Small sample learning during multimedia retrieval using BiasMap. Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2001 Zhou XS, Huang TS: Small sample learning during multimedia retrieval using BiasMap. Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2001
19.
go back to reference Tao D, Tang X: Kernel full-space biased discriminant analysis. Proc. IEEE Conference on Multimedia and Expo, 2004 Tao D, Tang X: Kernel full-space biased discriminant analysis. Proc. IEEE Conference on Multimedia and Expo, 2004
20.
go back to reference Tao D, Tang X, Li X, Rui Y: Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm. IEEE Trans Multimedia 8(4):716–27, 2006CrossRef Tao D, Tang X, Li X, Rui Y: Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm. IEEE Trans Multimedia 8(4):716–27, 2006CrossRef
21.
go back to reference Friedman JH: Regularized discriminant analysis. J Am Stat Assoc 84(405):165–75, 1989CrossRef Friedman JH: Regularized discriminant analysis. J Am Stat Assoc 84(405):165–75, 1989CrossRef
Metadata
Title
Locating the Reference Point of Symphysis Pubis in Axial CT Images
Authors
Jiyong Oh
Dae Chul Jung
Chong-Ho Choi
Publication date
01-02-2012
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 1/2012
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-011-9384-z

Other articles of this Issue 1/2012

Journal of Digital Imaging 1/2012 Go to the issue