Evaluation of a pipeline for simulation, reconstruction, and classification in ultrasound-aided diffuse optical tomography of breast tumors
G Di Sciacca, G Maffeis, A Farina… - … of biomedical optics, 2022 - spiedigitallibrary.org
Significance: Diffuse optical tomography is an ill-posed problem. Combination with
ultrasound can improve the results of diffuse optical tomography applied to the diagnosis of …
ultrasound can improve the results of diffuse optical tomography applied to the diagnosis of …
[HTML][HTML] The SOLUS instrument: Optical characterization of the first hand-held probe for multimodal imaging (ultrasound and multi-wavelength time-resolved diffuse …
SOLUS is a multimodal imaging system comprising the first miniaturized handheld device to
perform time domain Diffuse Optical Tomography at 8 visible and near infrared wavelengths …
perform time domain Diffuse Optical Tomography at 8 visible and near infrared wavelengths …
Automated pipeline for breast cancer diagnosis using US assisted diffuse optical tomography
Ultrasound (US)-guided diffuse optical tomography (DOT) is a portable and non-invasive
imaging modality for breast cancer diagnosis and treatment response monitoring. However …
imaging modality for breast cancer diagnosis and treatment response monitoring. However …
A new nonlinear sparse optimization framework in ultrasound-modulated optical tomography
S Roy - IEEE Transactions on Computational Imaging, 2021 - ieeexplore.ieee.org
In this work, a new nonlinear framework is presented for superior reconstructions in
ultrasound-modulated optical tomography. The framework is based on minimizing a …
ultrasound-modulated optical tomography. The framework is based on minimizing a …
A learned-SVD approach for regularization in diffuse optical tomography
A Benfenati, G Bisazza, P Causin - arXiv preprint arXiv:2111.13401, 2021 - arxiv.org
Diffuse Optical Tomography (DOT) is an emerging technology in medical imaging which
employs light in the NIR spectrum to estimate the distribution of optical coefficients in …
employs light in the NIR spectrum to estimate the distribution of optical coefficients in …
[PDF][PDF] A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography
A Benfenati, G Bisazza, P Causin - arXiv preprint arXiv:2111.13401, 2021 - academia.edu
Abstract Diffuse Optical Tomography (DOT) is an emerging technology in medical imaging
which employs near–infra–red light to estimate the distribution of optical coefficients in …
which employs near–infra–red light to estimate the distribution of optical coefficients in …
[HTML][HTML] Objective numerical evaluation of diffuse, optically reconstructed images using structural similarity index
Diffuse optical tomography is emerging as a non-invasive optical modality used to evaluate
tissue information by obtaining the optical properties' distribution. Two procedures are …
tissue information by obtaining the optical properties' distribution. Two procedures are …
Breast lesion classification based on absorption and composition parameters: a look at SOLUS first outcomes
G Maffeis, A Pifferi, A Dalla Mora… - … of Tissue XV, 2023 - spiedigitallibrary.org
A machine learning classification algorithm is applied to the SOLUS database to
discriminate benign and malignant breast lesions, based on absorption and composition …
discriminate benign and malignant breast lesions, based on absorption and composition …
A Comprehensive Assessment of the SOLUS Database for Classifying Breast Lesions
We evaluate analytical and artificial intelligence strategies to enhance the informative
content of the SOLUS multimodal database (Diffuse Optical Tomography, B-mode …
content of the SOLUS multimodal database (Diffuse Optical Tomography, B-mode …
Synergistic tomographic image reconstruction: part 2
C Tsoumpas, J Sauer Jørgensen… - … of the Royal …, 2021 - royalsocietypublishing.org
This special issue is the second part of a themed issue that focuses on synergistic
tomographic image reconstruction and includes a range of contributions in multiple …
tomographic image reconstruction and includes a range of contributions in multiple …