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Biplane correlation imaging: a feasibility study based on phantom and human data.

Publication ,  Journal Article
Samei, E; Majdi-Nasab, N; Dobbins, JT; McAdams, HP
Published in: J Digit Imaging
February 2012

The objective of this study was to implement and evaluate the performance of a biplane correlation imaging (BCI) technique aimed to reduce the effect of anatomic noise and improve the detection of lung nodules in chest radiographs. Seventy-one low-dose posterior-anterior images were acquired from an anthropomorphic chest phantom with 0.28° angular separations over a range of ±10° along the vertical axis within an 11 s interval. Similar data were acquired from 19 human subjects with institutional review board approval and informed consent. The data were incorporated into a computer-aided detection (CAD) algorithm in which suspect lesions were identified by examining the geometrical correlation of the detected signals that remained relatively constant against variable anatomic backgrounds. The data were analyzed to determine the effect of angular separation, and the overall sensitivity and false-positives for lung nodule detection. The best performance was achieved for angular separations of the projection pairs greater than 5°. Within that range, the technique provided an order of magnitude decrease in the number of false-positive reports when compared with CAD analysis of single-view images. Overall, the technique yielded ~1.1 false-positive per patient with an average sensitivity of 75%. The results indicated that the incorporation of angular information can offer a reduction in the number of false-positives without a notable reduction in sensitivity. The findings suggest that the BCI technique has the potential for clinical implementation as a cost-effective technique to improve the detection of subtle lung nodules with lowered rate of false-positives.

Duke Scholars

Published In

J Digit Imaging

DOI

EISSN

1618-727X

Publication Date

February 2012

Volume

25

Issue

1

Start / End Page

137 / 147

Location

United States

Related Subject Headings

  • Solitary Pulmonary Nodule
  • Sampling Studies
  • Radiography, Thoracic
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiographic Image Enhancement
  • ROC Curve
  • Phantoms, Imaging
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
 

Citation

APA
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ICMJE
MLA
NLM
Samei, E., Majdi-Nasab, N., Dobbins, J. T., & McAdams, H. P. (2012). Biplane correlation imaging: a feasibility study based on phantom and human data. J Digit Imaging, 25(1), 137–147. https://doi.org/10.1007/s10278-011-9392-z
Samei, Ehsan, Nariman Majdi-Nasab, James T. Dobbins, and H Page McAdams. “Biplane correlation imaging: a feasibility study based on phantom and human data.J Digit Imaging 25, no. 1 (February 2012): 137–47. https://doi.org/10.1007/s10278-011-9392-z.
Samei E, Majdi-Nasab N, Dobbins JT, McAdams HP. Biplane correlation imaging: a feasibility study based on phantom and human data. J Digit Imaging. 2012 Feb;25(1):137–47.
Samei, Ehsan, et al. “Biplane correlation imaging: a feasibility study based on phantom and human data.J Digit Imaging, vol. 25, no. 1, Feb. 2012, pp. 137–47. Pubmed, doi:10.1007/s10278-011-9392-z.
Samei E, Majdi-Nasab N, Dobbins JT, McAdams HP. Biplane correlation imaging: a feasibility study based on phantom and human data. J Digit Imaging. 2012 Feb;25(1):137–147.
Journal cover image

Published In

J Digit Imaging

DOI

EISSN

1618-727X

Publication Date

February 2012

Volume

25

Issue

1

Start / End Page

137 / 147

Location

United States

Related Subject Headings

  • Solitary Pulmonary Nodule
  • Sampling Studies
  • Radiography, Thoracic
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiographic Image Enhancement
  • ROC Curve
  • Phantoms, Imaging
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Middle Aged