Your browser doesn't support javascript.
loading
Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration.
Li, Xiao T; Allen, Jason W; Hu, Ranliang.
Afiliação
  • Li XT; Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA. xtli@emory.edu.
  • Allen JW; Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
  • Hu R; Department of Neurology, Emory University Hospital, Atlanta, GA, USA.
J Digit Imaging ; 36(3): 1189-1197, 2023 06.
Article em En | MEDLINE | ID: mdl-36596936
ABSTRACT
In recent years, the quantity and complexity of medical imaging acquisition and processing have increased tremendously. The explosion in volume and need for advanced imaging analysis have led to the creation of numerous software programs, which have begun to be incorporated into clinical practice for indications such as automated stroke assessment, brain tumor perfusion processing, and hippocampal volume analysis. Despite these advances, there remains a need for specialized, custom-built software for advanced algorithms and new areas of research that is not widely available or adequately integrated in these "out-of-the-box" solutions. The purpose of this paper is to describe the implementation of an image-processing pipeline that is versatile and simple to create, which allows for rapid prototyping of image analysis algorithms and subsequent testing in a clinical environment. This pipeline uses a combination of Orthanc server, custom MATLAB code, and publicly available FMRIB Software Library and RestNeuMap tools to automatically receive and analyze resting-state functional MRI data collected from a custom filter on the MR scanner output. The processed files are then sent directly to Picture Archiving and Communications System (PACS) without the need for user input. This initial experience can serve as a framework for those interested in simple implementation of an automated pipeline customized to clinical needs.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Sistemas de Informação em Radiologia Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Sistemas de Informação em Radiologia Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article