Work

Finding the perfect NIRS pipeline

Year: 2025

Type: conference-paper

Abstract: Discrete and dense optimisation are well-studied areas in isolation. Simultaneously optimising over a product of both kinds of spaces is less so. Yet, a large number of real-world phenomena exhibit this dual nature. One of such discrete-dense phenomena, is the optimization of the processing (and analysis) pipeline in fNIRS neuroimaging. For such a problem, we propose a new metric tensor to navigate the discrete-dense space that consequently permits using gradient-based optimization. We illustrate the success of our method in a synthetic fNIRS application, but we claim that the abstract solution remains applicable to other analogous domains.

DOI: 10.1117/12.3098414

Authors: Robert Ward, Felipe Orihuela-Espina

Institution: University of Birmingham

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W4417440252

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