Minimizing OCT quantification error via a surface-tracking imaging probe
نویسندگان
چکیده
منابع مشابه
Minimizing Tracking Error While Restricting the Number of Assets
Tracking error minimization is commonly used by the traditional passive fund managers as well as alternative portfolio (for example, hedge fund) managers. We propose a graduated non-convexity method to minimize portfolio tracking error with the total number of assets no greater than a specified integer K. The solution of this tracking error minimization problem is the global minimizer of the su...
متن کاملOCT Based Nanostructures Quantification
In this letter, a phase-sensitive, swept-source optical coherence tomography (SS-OCT) system is implemented for the optical measurement of nanostructures. A new approach is proposed to reduce the phase errors, resulting from trigger jitter of the swept source and the asynchronization between the A-scan trigger and OCT signal at the data acquisition end, with a narrowband fiber Bragg grating to ...
متن کاملMinimizing Task Space Frechet Error via Efficient Incremental Graph Search
We present an anytime algorithm that generates a collision-free configuration-space path that closely follows a desired path in task space, according to the discrete Fréchet distance. By leveraging tools from computational geometry, we approximate the search space using a cross-product graph. We use a variant of Dijkstra’s graph-search algorithm to efficiently search for and iteratively improve...
متن کاملA forward-imaging needle-type OCT probe for image guided stereotactic procedures
A forward-imaging needle-type optical coherence tomography (OCT) probe with Doppler OCT (DOCT) capability has the potential to solve critical challenges in interventional procedures. A case in point is stereotactic neurosurgery where probes are advanced into the brain based on predetermined coordinates. Laceration of blood vessels in front of the advancing probe is an unavoidable complication w...
متن کاملMinimizing Algebraic Error
This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach in such parameter minimization is to minimize an algebraic error function instead of a possibly preferable geometric error function. It is claimed in this paper, however, that minimizing algebraic error will usually give excellen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biomedical Optics Express
سال: 2021
ISSN: 2156-7085,2156-7085
DOI: 10.1364/boe.423233