relation: http://eprints.imtlucca.it/843/
title: Unsupervised reconstruction for ungated ghost angiography by clustering of image features
creator: Tsaftaris, Sotirios A.
creator: Offerman, Erik
creator: Edelman, Robert R.
creator: Koktzoglou, Ioannis
subject: QA76 Computer software
subject: RC Internal medicine
subject: TK Electrical engineering. Electronics Nuclear engineering
description: Ghost magnetic resonance angiography (MRA) has been proposed as an unenhanced and ungated method for angiography that is based on the presence of ghost artifacts resulting from pulsatile blood flow (1). Although the method is simple to acquire in that cardiac gating is not required, it requires manual post-processing to identify suitable slices in a large stack from which to create an interpretable angiogram. To maximize the contrast of the final angiogram it is necessary to eliminate slices located within the body and to carefully select the slices that contain conspicuous ghost artifacts. This manual post-processing step is time-consuming and can introduce unwanted inter- and intra- observer variability. The purpose of this work was to completely automate the reconstruction process during ungated and non-contrast-enhanced Ghost MRA using image analysis and clustering.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Tsaftaris, Sotirios A. and Offerman, Erik and Edelman, Robert R. and Koktzoglou, Ioannis  Unsupervised reconstruction for ungated ghost angiography by clustering of image features.  In: 18th Meeting of the international society for magnetic resonance in medicine, 1-7 May 2010,  Stockholm, Sweden       (Unpublished)   (2010)  
relation: http://www.ismrm.org/10/ep4.htm#CV1