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Resolution and penetration depth of reflection-mode time-domain near infrared optical tomography using a ToF SPAD camera

Related publications (34)

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Spectral Estimators for High-Dimensional Matrix Inference

Farzad Pourkamali

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

Scan-specific artifact reduction in k-space (SPARK) neural networks synergize with physics-based reconstruction to accelerate MRI

Purpose: To develop a scan-specific model that estimates and corrects k-space errors made when reconstructing accelerated MRI data. Methods: Scan-specific artifact reduction in k-space (SPARK) trains a convolutional-neural-network to estimate and correct k ...

WILEY2021

Dynamic time domain near-infrared optical tomography based on a SPAD camera

Edoardo Charbon, Scott Anthony Lindner, Martin Wolf, Jingjing Jiang

In many clinical applications it is relevant to observe dynamic changes in oxygenation. Therefore the ability of dynamic imaging with time domain (TD) near-infrared optical tomography (NIROT) will be important. But fast imaging is a challenge. The data acq ...

2020

A physics-informed machine learning framework is developed for the reduced-order modeling of parametrized steady-state partial differential equations (PDEs). During the offline stage, a reduced basis is extracted from a collection of high-fidelity solution ...

2020

Regularization, filtering, and denoising of biomedical images requires the use of appropriate filters and the adoption of efficient regularization criteria. It has been shown that the Stein’s Unbiased Risk Estimate (SURE) can be used as a proxy for the mea ...

IEEE2019

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Recent advances with haptic devices have shown great potential in physically simulating contact with an object. In meso-scale (1 to 10 cm) haptic devices, although the actuation level can be controlled, their small form-factor makes it difficult to measure ...

2019

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We introduce a distributionally robust minimium mean square error estimation model with a Wasserstein ambiguity set to recover an unknown signal from a noisy observation. The proposed model can be viewed as a zero-sum game between a statistician choosing a ...

2019

Time-resolved Single-photon Detector Arrays for High Resolution Near-infrared Optical Tomography

Scott Anthony Lindner

Oxygenation is an important marker in many clinical settings, e.g. diagnosing ischaemic brain injuries in preterm infants or determining treatment effectiveness in cancer patients. Despite significant efforts to determine the oxygenation state of the human ...

EPFL2018

Column-Parallel Dynamic TDC Reallocation in SPAD Sensor Module Fabricated in 180nm CMOS for Near Infrared Optical Tomography

Edoardo Charbon, Ivan Michel Antolovic, Chunmin Zhang, Scott Anthony Lindner, Juan Mata Pavia, Martin Wolf

A major problem for optical biomedical imaging methods, e.g. near-infrared optical tomography (NIROT), using time resolved SPAD sensors is a slow acquisition time, resulting in motion artefacts and decreased patient comfort. We present a new SPAD sensor mo ...

2017

Demultiplexing Visible and Near-Infrared Information in Single- Sensor Multispectral Imaging

Sabine Süsstrunk, Zahra Sadeghipoor Kermani, Jean-Baptiste Thomas

In this paper, we study a single-sensor imaging system that uses a multispectral filter array to spectrally sample the scene. Our system captures information in both visible and near-infrared bands of the electromagnetic spectrum. Due to manufacturing limi ...

2016