Share Email Print

Proceedings Paper

Spatiotemporal sharpening of sub-pixel super-resolution by means of two infrared spectrum cameras for early cancer detection
Author(s): Chia-Yen Lee; Hsin-Yu Hsieh; Si-Chen Lee; Chiun-Sheng Huang; Yeun-Chung Chang; Chung-Ming Chen; Harold Szu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Breast cancer has been one of the leading causes of cancer deaths for females in the developed countries, including the US. While early detection of breast cancer is essential for the reduction of death rate, there may be already more than 107 cells in a breast cancer when it can be observed by X-ray mammogram. As contrast, the passive IR spectrogram proposed by Szu et al. was shown to be promising in detecting the breast cancer several months ahead of mammogram. With the energy readings from two IR cameras, one middle wavelength IR (MIR, 3 - 5μm) and one long wavelength IR (LIR, 8 - 12μm), the IR spectrogram may be computed by using the blind source separation (BSS) algorithms developed by Szu et al., which reveals the probability of being a cancer point on the breast surface. Two important tasks are involved in computing the IR spectrogram. One is an accurate estimate of the ground state energy in the Helmholtz free energy, H = E-T0S. The other is a correct pair-up of the points on the MIR and LIR images for a better estimation of IR spectrogram. To minimize the probability of making an erroneous estimate of the ground state energy inherent in the deterministic neighborhood-based BSS algorithm, a spatiotemporal approach is proposed in this paper. It takes into account not only the neighborhood information but also the temporal information in determining the probability of being a cancer point. Furthermore, a new sub-pixel super-resolution registration algorithm incorporating a third energy dimension is proposed to establish better correspondences between the points in the MIR and LIR images. Phantom study has confirmed that sub-pixel registration can be achieved by the proposed registration method. Human subject study further shows that the breast cancer may be detected by the proposed spatiotemporal approach via cross-referencing the IR spectrograms computed from the multiple pairs of MIR and LIR images taken at different times.

Paper Details

Date Published: 3 April 2008
PDF: 9 pages
Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 69790R (3 April 2008); doi: 10.1117/12.793385
Show Author Affiliations
Chia-Yen Lee, National Taiwan Univ. (Taiwan)
Hsin-Yu Hsieh, National Taiwan Univ. (Taiwan)
Si-Chen Lee, National Taiwan Univ. (Taiwan)
Chiun-Sheng Huang, National Taiwan Univ. Hospital (Taiwan)
Yeun-Chung Chang, National Taiwan Univ. Hospital (Taiwan)
Chung-Ming Chen, National Taiwan Univ. (Taiwan)
Harold Szu, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6979:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI
Harold H. Szu; F. Jack Agee, Editor(s)

© SPIE. Terms of Use
Back to Top