Skip to main content
Journal cover image

Comparison of similarity measures for rigid-body CT/Dual X-ray image registrations.

Publication ,  Journal Article
Kim, J; Li, S; Pradhan, D; Hammoud, R; Chen, Q; Yin, F-F; Zhao, Y; Kim, JH; Movsas, B
Published in: Technol Cancer Res Treat
August 2007

A set of experiments were conducted to evaluate six similarity measures for intensity-based rigid-body 3D/2D image registration. Similarity measure is an index that measures the similarity between a digitally reconstructed radiograph (DRR) and an x-ray planar image. The registration is accomplished by maximizing the sum of the similarity measures between biplane x-ray images and the corresponding DRRs in an iterative fashion. We have evaluated the accuracy and attraction ranges of the registrations using six different similarity measures on phantom experiments for head, thorax, and pelvis. The images were acquired using Varian Medial System On-Board Imager. Our results indicated that normalized cross correlation and entropy of difference showed a wide attraction range (62 deg and 83 mm mean attraction range, omega(mean)), but the worst accuracy (4.2 mm maximum error, e(max)). The gradient-based similarity measures, gradient correlation and gradient difference, and the pattern intensity showed sub-millimeter accuracy, but narrow attraction ranges (omega(mean)=29 deg, 31 mm). Mutual information was in-between of these two groups (e(max)=2.5 mm, omega(mean)= 48 deg, 52 mm). On the data of 120 x-ray pairs from eight IRB approved prostate patients, the gradient difference showed the best accuracy. In the clinical applications, registrations starting with the mutual information followed by the gradient difference may provide the best accuracy and the most robustness.

Duke Scholars

Published In

Technol Cancer Res Treat

DOI

ISSN

1533-0346

Publication Date

August 2007

Volume

6

Issue

4

Start / End Page

337 / 346

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiotherapy, Computer-Assisted
  • Radiography, Thoracic
  • Prostatic Neoplasms
  • Phantoms, Imaging
  • Pelvis
  • Oncology & Carcinogenesis
  • Male
  • Imaging, Three-Dimensional
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kim, J., Li, S., Pradhan, D., Hammoud, R., Chen, Q., Yin, F.-F., … Movsas, B. (2007). Comparison of similarity measures for rigid-body CT/Dual X-ray image registrations. Technol Cancer Res Treat, 6(4), 337–346. https://doi.org/10.1177/153303460700600411
Kim, Jinkoo, Shidong Li, Deepak Pradhan, Rabih Hammoud, Qing Chen, Fang-Fang Yin, Yang Zhao, Jae Ho Kim, and Benjamin Movsas. “Comparison of similarity measures for rigid-body CT/Dual X-ray image registrations.Technol Cancer Res Treat 6, no. 4 (August 2007): 337–46. https://doi.org/10.1177/153303460700600411.
Kim J, Li S, Pradhan D, Hammoud R, Chen Q, Yin F-F, et al. Comparison of similarity measures for rigid-body CT/Dual X-ray image registrations. Technol Cancer Res Treat. 2007 Aug;6(4):337–46.
Kim, Jinkoo, et al. “Comparison of similarity measures for rigid-body CT/Dual X-ray image registrations.Technol Cancer Res Treat, vol. 6, no. 4, Aug. 2007, pp. 337–46. Pubmed, doi:10.1177/153303460700600411.
Kim J, Li S, Pradhan D, Hammoud R, Chen Q, Yin F-F, Zhao Y, Kim JH, Movsas B. Comparison of similarity measures for rigid-body CT/Dual X-ray image registrations. Technol Cancer Res Treat. 2007 Aug;6(4):337–346.
Journal cover image

Published In

Technol Cancer Res Treat

DOI

ISSN

1533-0346

Publication Date

August 2007

Volume

6

Issue

4

Start / End Page

337 / 346

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiotherapy, Computer-Assisted
  • Radiography, Thoracic
  • Prostatic Neoplasms
  • Phantoms, Imaging
  • Pelvis
  • Oncology & Carcinogenesis
  • Male
  • Imaging, Three-Dimensional
  • Humans