Abstract

Using scatterplots of 2 or 3 parameters, diffuse optical tomography and fluorescence imaging are combined to improve detectability of breast lesions. Small or low contrast phantom-lesions that were missed in the optical and fluorescence images were detected in the scatterplots. In patient measurements, all tumors were visible and easily differentiated from artifacts and areolas in the scatterplots. The different rate of intake and wash out of the fluorescent contrast agent in the healthy versus malignant tissues was also observed in the scatterplot: this information can be used to discriminate malignant lesion from normal structures.

Highlights

  • Breast cancer detection using optical imaging methods alone is hampered by a lack of specificity of the intrinsic optical properties and chromophore concentrations in breast tissue [1,2,3]

  • Diffuse optical imaging has relatively low spatial resolution. This combination of low contrast and low spatial resolution of the diffuse optical methods results in limited sensitivity and specificity for lesion detection and characterization, especially in case of small lesions and lesions located in dense breast tissue

  • The aim of this paper is to validate a method for breast cancer imaging using fluorescence and optical absorption tomography combined in a scatterplot

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Summary

Introduction

Breast cancer detection using optical imaging methods alone is hampered by a lack of specificity of the intrinsic optical properties and chromophore concentrations in breast tissue [1,2,3]. Diffuse optical imaging has relatively low spatial resolution (on the order of 5-10 mm) This combination of low contrast and low spatial resolution of the diffuse optical methods results in limited sensitivity and specificity for lesion detection and characterization, especially in case of small lesions and lesions located in dense breast tissue. The agent may have different decay properties in diseased tissue compared to normal tissue This pharmacokinetic behavior could be used to localize tumors independently of the concentration of the fluorescent molecule [9]. The corresponding voxels in the fluorescence image are shown in red in Fig. 5 (b) These voxels are artifacts that were caused by the reconstruction algorithm and occurred at the fiber positions.

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