This project proposes a new method, Bi-plane Correlation Imaging (BCI), for improved
detection of subtle lung nodules. In BCI, two digital radiographs of the chest are acquired
within a short time interval from slightly different posterior projections. The image data
are incorporated into an enhanced Computer-aided Diagnosis (CAD) algorithm in which nodules
present in the thoracic cavity are detected by examining the geometrical correlation of the
detected signals in the two views. The data are alos viewed stereoscopically for visual
diagnosis. The expected high sensitivity/specificity of the method has the potential to
change the current state of practice, perhaps leading to a preventive lung cancer screening
program for high-risk populations, similar to the mammography screening program currently in
place for breast cancer.
- Normal individuals
- Individuals with CT-confirmed subtle lung nodules.
- Individuals with acute pulmonary abnormalities or those in poor health conditions
will be excluded due to the potential impact on the results as well as difficulty of
acquiring the images. Pregnant women will also be excluded to avoid the exposure of
the fetus to radiation.