\documentclass[10pt]{article}

\usepackage{fullpage}
\usepackage{setspace}
\usepackage{parskip}
\usepackage{titlesec}
\usepackage[section]{placeins}
\usepackage{xcolor}
\usepackage{breakcites}
\usepackage{lineno}
\usepackage{hyphenat}





\PassOptionsToPackage{hyphens}{url}
\usepackage[colorlinks = true,
            linkcolor = blue,
            urlcolor  = blue,
            citecolor = blue,
            anchorcolor = blue]{hyperref}
\usepackage{etoolbox}
\makeatletter
\patchcmd\@combinedblfloats{\box\@outputbox}{\unvbox\@outputbox}{}{%
  \errmessage{\noexpand\@combinedblfloats could not be patched}%
}%
\makeatother


\usepackage{natbib}




\renewenvironment{abstract}
  {{\bfseries\noindent{\abstractname}\par\nobreak}\footnotesize}
  {\bigskip}

\titlespacing{\section}{0pt}{*3}{*1}
\titlespacing{\subsection}{0pt}{*2}{*0.5}
\titlespacing{\subsubsection}{0pt}{*1.5}{0pt}


\usepackage{authblk}


\usepackage{graphicx}
\usepackage[space]{grffile}
\usepackage{latexsym}
\usepackage{textcomp}
\usepackage{longtable}
\usepackage{tabulary}
\usepackage{booktabs,array,multirow}
\usepackage{amsfonts,amsmath,amssymb}
\providecommand\citet{\cite}
\providecommand\citep{\cite}
\providecommand\citealt{\cite}
% You can conditionalize code for latexml or normal latex using this.
\newif\iflatexml\latexmlfalse
\providecommand{\tightlist}{\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}%

\AtBeginDocument{\DeclareGraphicsExtensions{.pdf,.PDF,.eps,.EPS,.png,.PNG,.tif,.TIF,.jpg,.JPG,.jpeg,.JPEG}}

\usepackage[utf8]{inputenc}
\usepackage[greek,ngerman,english]{babel}



\usepackage{float}








\begin{document}

\title{A Hand-held Optical Coherence Tomography Angiography Scanner based on
Angiography Reconstruction Transformer Networks}



\author[1]{JINPENG LIAO}%
\author[2]{Shufan Yang}%
\author[1]{Tianyu Zhang}%
\author[1]{Chunhui Li}%
\author[1]{Zhihong Huang}%
\affil[1]{University of Dundee}%
\affil[2]{University College London}%


\vspace{-1em}



  
  \date{May 24, 2024}


\begingroup
\let\center\flushleft
\let\endcenter\endflushleft
\maketitle
\endgroup





\selectlanguage{english}
\begin{abstract}
Optical coherence tomography angiography (OCTA) has successfully
demonstrated its viability for clinical applications in dermatology. Due
to the high optical scattering property of skin, extracting high-quality
OCTA images from skin tissues requires at least six-repeated scans.
While the motion artifacts from the patient and the free hand-held probe
can lead to a low-quality OCTA image. Our deep-learning-based scan
pipeline enables fast and high-quality OCTA imaging with 0.3-second data
acquisition. We utilize a fast scanning protocol with a 60 \selectlanguage{greek}µ\selectlanguage{english}m/pixel
spatial interval rate and introduce
Angiography-Reconstruction-Transformer (ART) for 4\selectlanguage{ngerman}× super-resolution of
low transverse resolution OCTA images. The ART outperforms
state-of-the-art networks in OCTA image super-resolution and provides a
lighter network size. ART can restore microvessels while reducing the
processing time by 85\%, and maintaining improvements in structural
similarity and peak-signal-to-noise ratio. This study represents that
ART can achieve fast and flexible skin OCTA imaging while maintaining
image quality.%
\end{abstract}\selectlanguage{ngerman}%



\sloppy


\textbf{Hosted file}

\verb`manuscript - final ver - 2.docx`  available at \url{https://authorea.com/users/600800/articles/632240-a-hand-held-optical-coherence-tomography-angiography-scanner-based-on-angiography-reconstruction-transformer-networks}

\selectlanguage{english}
\FloatBarrier
\end{document}

