title: Workflow for the use of a high-resolution image detector in endovascular interventional procedures.
abstract: Endovascular image-guided intervention (EIGI) has become the primary interventional therapy for the most widespread vascular diseases. These procedures involve the insertion of a catheter into the femoral artery, which is then threaded under fluoroscopic guidance to the site of the pathology to be treated. Flat Panel Detectors (FPDs) are normally used for EIGIs; however, once the catheter is guided to the pathological site, high-resolution imaging capabilities can be used for accurately guiding a successful endovascular treatment. The Micro-Angiographic Fluoroscope (MAF) detector provides needed high-resolution, high-sensitivity, and real-time imaging capabilities. An experimental MAF enabled with a Control, Acquisition, Processing, Image Display and Storage (CAPIDS) system was installed and aligned on a detector changer attached to the C-arm of a clinical angiographic unit. The CAPIDS system was developed and implemented using LabVIEW software and provides a user-friendly interface that enables control of several clinical radiographic imaging modes of the MAF including: fluoroscopy, roadmap, radiography, and digital-subtraction-angiography (DSA). Using the automatic controls, the MAF detector can be moved to the deployed position, in front of a standard FPD, whenever higher resolution is needed during angiographic or interventional vascular imaging procedures. To minimize any possible negative impact to image guidance with the two detector systems, it is essential to have a well-designed workflow that enables smooth deployment of the MAF at critical stages of clinical procedures. For the ultimate success of this new imaging capability, a clear understanding of the workflow design is essential. This presentation provides a detailed description and demonstration of such a workflow design.
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: R
authors.initials: R
authors.lastname: Rana
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: B
authors.initials: B
authors.lastname: Loughran
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: S N
authors.initials: SN
authors.lastname: Swetadri Vasan
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: L
authors.initials: L
authors.lastname: Pope
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: C N
authors.initials: CN
authors.lastname: Ionita
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: A
authors.initials: A
authors.lastname: Siddiqui
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: N
authors.initials: N
authors.lastname: Lin
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: D R
authors.initials: DR
authors.lastname: Bednarek
authors.affiliation: Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14214.
authors.forename: S
authors.initials: S
authors.lastname: Rudin
keywords: CAPIDS; MAF; angiography; endovascular image-guided interventions; high resolution detector; workflow; x-ray imaging