Evaluation and Implementation of Dual-Spectrum IR Spectrogram Diagnostic System on Breast Cancer Detection

• Main Authors: Hsin-Yu Hsieh, 謝欣郁
• Other Authors: 陳中明
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/60604964485508945599

碩士 === 國立臺灣大學 === 醫學工程學研究所 === 96 === Breast cancer has been ranked the fourth leading cause of cancer deaths for females in Taiwan for the past eight years. Common imaging modalities used to detect breast cancers at present are mammogram and breast sonography. However, they both do not have a sufficient spatial resolution and are not sensitive enough to detect breast cancers. Although the MRI and the PET have the potential for early detection of breast cancers, they are both very costly and not usually used as the first-line defense. Therefore, this thesis proposes to develop a passive medical imaging modality, called dual-spectrum IR (DS-IR) spectrogram, for detection of malign tumors in breast. The DS-IR spectrogram was invented by Dr. Harold Szu. The unique capability of the DS-IR spectrogram comes from using spectral ratio as the signature to distinguish cancer cells from normal ones. Since the cancer cells tend to have higher temperatures than the normal cells because of the angiogenesis process involved in the growth of cancer cells, the spectrum peak up-shifts from long wavelength infrared toward medium wavelength infrared due to Planck radiation physics and Wien’s displacement law. As long as there were a few amount of MIR photons emitting from the malign tumor cells and detected by the dual IR cameras, one may identify the malign tumor cells by using the trend of DS-IR spectral ratio over time as the feature. Two essential steps are involved in deriving the DS-IR spectrograms. One is registration of the MIR and LIR images accomplished by using linear affine transformation and nonlinear thin-plate spline. The other step is detection of the breast cancers based on the registered MIR and LIR images. Deterministic neighborhood-based BSS algorithm proposed by Dr. Harold Szu is realized to derive the probability distributions of cancer cells and normal cells. To evaluate the performance of the DS-IR imaging system, we have built the first clinical DS-IR imaging system using one MIR(3~5