eprintid: 2770
rev_number: 5
eprint_status: archive
userid: 69
dir: disk0/00/00/27/70
datestamp: 2015-10-13 08:04:03
lastmod: 2015-10-13 08:04:03
status_changed: 2015-10-13 08:04:03
type: book_section
metadata_visibility: show
creators_name: Oksuz, Ilkay
creators_name: Mukhopadhyay, Anirban
creators_name: Bevilacqua, Marco
creators_name: Dharmakumar, Rohan
creators_name: Tsaftaris, Sotirios A.
creators_id: ilkay.oksuz@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: Registration; Dictionary Learning; Similarity Metric; CP-BOLD MR; CINE MR
abstract: Cardiac Phase-resolved Blood Oxygen-Level-Dependent (CP-BOLD) MRI is a new contrast agent- and stress-free imaging technique for the assessment of myocardial ischemia at rest. The precise registration among the cardiac phases in this cine type acquisition is essential for automating the analysis of images of this technique, since it can potentially lead to better specificity of ischemia detection. However, inconsistency in myocardial intensity patterns and the changes in myocardial shape due to the heart’s motion lead to low registration performance for state-of-the-art methods. This low accuracy can be explained by the lack of distinguishable features in CP-BOLD and inappropriate metric definitions in current intensity-based registration frameworks. In this paper, the sparse representations, which are defined by a discriminative dictionary learning approach for source and target images, are used to improve myocardial registration. This method combines appearance with Gabor and HOG features in a dictionary learning framework to sparsely represent features in a low dimensional space. The sum of absolute differences of these distinctive sparse representations are used to define a similarity term in the registration framework. The proposed approach is validated on a dataset of CP-BOLD MR and standard CINE MR acquired in baseline and ischemic condition across 10 canines.
date: 2015
date_type: published
series: Lecture Notes in Computer Science
volume: 9350
publisher: Springer
pagerange: 205-213
pages: 9
id_number: 10.1007/978-3-319-24571-3_25
refereed: TRUE
isbn: 978-3-319-24570-6
book_title: Medical Image Computing and Computer-Assisted Intervention. MICCAI 2015
official_url: http://link.springer.com/chapter/10.1007%2F978-3-319-24571-3_25#
citation:   Oksuz, Ilkay and Mukhopadhyay, Anirban and Bevilacqua, Marco and Dharmakumar, Rohan and Tsaftaris, Sotirios A.  Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.   In:  Medical Image Computing and Computer-Assisted Intervention. MICCAI 2015.   Lecture Notes in Computer Science, 9350 .  Springer, pp. 205-213.  ISBN 978-3-319-24570-6      (2015)