Time Domain Diffuse Optical Tomography (TD-DOT) performed at multiple wavelengths can be used to non-invasively probe tissue composition. Then, tissue composition can be related to breast tissue and lesion type. Thus, TD-DOT could be used for therapy monitoring for breast cancer. We developed a software tool for multi-wavelength TD-DOT and performed a validation on meat phantoms to mimic tissue heterogeneity. An inclusion of different meat was exploited to mimic the presence of a lesion in the breast. Results show good localization of the inclusion, but poor quantification of the reconstructed breast composition. The use of a morphological prior constraint, providing information on inclusion geometry and position, significantly improves both localization and composition estimate.

Spectral approach to time domain diffuse optical tomography for breast cancer: Validation on meat phantoms / Ferocino E.; Di Sciacca G.; Di Sieno L.; Dalla Mora A.; Pifferi A.; Arridge S.; Martelli F.; Taroni P.; Farina A.. - In: PROGRESS IN BIOMEDICAL OPTICS AND IMAGING. - ISSN 1605-7422. - ELETTRONICO. - 11074:(2019), pp. 1107408-1-1107408-3. (Intervento presentato al convegno Diffuse Optical Spectroscopy and Imaging VII 2019 tenutosi a deu nel 2019) [10.1117/12.2526649].

Spectral approach to time domain diffuse optical tomography for breast cancer: Validation on meat phantoms

Martelli F.
Membro del Collaboration Group
;
2019

Abstract

Time Domain Diffuse Optical Tomography (TD-DOT) performed at multiple wavelengths can be used to non-invasively probe tissue composition. Then, tissue composition can be related to breast tissue and lesion type. Thus, TD-DOT could be used for therapy monitoring for breast cancer. We developed a software tool for multi-wavelength TD-DOT and performed a validation on meat phantoms to mimic tissue heterogeneity. An inclusion of different meat was exploited to mimic the presence of a lesion in the breast. Results show good localization of the inclusion, but poor quantification of the reconstructed breast composition. The use of a morphological prior constraint, providing information on inclusion geometry and position, significantly improves both localization and composition estimate.
2019
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Diffuse Optical Spectroscopy and Imaging VII 2019
deu
2019
Goal 3: Good health and well-being for people
Ferocino E.; Di Sciacca G.; Di Sieno L.; Dalla Mora A.; Pifferi A.; Arridge S.; Martelli F.; Taroni P.; Farina A.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1193328
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