Reconstruction of optical properties of phantom and breast lesion in vivo from paraxial scanning data

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Item Type:	Article
Title:	Reconstruction of optical properties of phantom and breast lesion in vivo from paraxial scanning data
Creators Name:	Dierkes, T., Grosenick, D., Moesta, K.T., Moeller, M., Schlag, P.M., Rinneberg, H. and Arridge, S.
Abstract:	We report on the reconstruction of absorption and reduced scattering coefficients of breast tissue in vivo of a patient with mastopathic disease. Distributions of times of flight of photons through the compressed breast were recorded by paraxial scanning. From data measured at four different source-detector offsets optical properties were reconstructed within the linear Rytov approximation by a fast inverse Fourier space method. Low-pass filtering in Fourier space was employed to remove excessive noise from high spatial frequency components and to reduce the computational efforts by a factor of 3, typically. The mammograms displaying reconstructed absorption and reduced scattering coefficients were compared with projection mammograms either obtained by time-window analysis of experimental data or based on average absorption and reduced scattering coefficients which were derived from measured temporal point spread functions within a simple homogeneous model. All inhomogeneities which were visible in the projection mammograms and which could be associated with specific breast tissue compartments could be correlated with inhomogeneities in the reconstructed absorption coefficient. In particular, the mastopathic disease was detected in the reconstructed absorption mammogram. In order to assess reliability of optical properties reconstructed from data obtained by paraxial scanning, corresponding phantom experiments and reconstructions of phantom optical properties were carried out. Because of the limited angular range sampled by the in vivo and phantom measurements, considerable blurring of the absorption coefficient occurs along the compression direction, compromising longitudinal resolution.
Keywords:	Algorithms, Computer-Assisted Image Processing, Fibrocystic Breast Disease, Fourier Analysis, Imaging Phantoms, Optical Tomography
Source:	Physics in Medicine and Biology
ISSN:	0031-9155
Volume:	50
Page Range:	2519-2542
Date:	1 January 2005
Official Publication:	https://doi.org/10.1088/0031-9155/50/11/006
PubMed:	View item in PubMed

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