DocumentCode :
591281
Title :
Matching Virtual histology RF and IVUS images for cardiac synchronization
Author :
Hadad, Mansour ; Matsumoto, M.M.S. ; Furuie, S.S.
Author_Institution :
Univ. or Sao Paulo, Sao Paulo, Brazil
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
569
Lastpage :
572
Abstract :
Intravascular Ultrasound (IVUS) provides detailed measurements of the arterial wall. However, during its acquisition, the contraction of the cardiac muscle provokes a relative motion of the transducer with respect to the artery. Consequently, the acquired images are disordered in space. Therefore, to enhance visualization of the coronary artery, volumes of IVUS images of each cardiac phase are needed, mainly for IVUS images that do not contain any external indicator of phase. Our solution is to use Virtual histology RF images as references, since they are acquired simultaneously with IVUS images and are synchronized with the ECG signal. Thus, this work presents a synchronization of IVUS images with RF images. The RF/IVUS comparison is based on the correlation within a circular region of interest, which can be automatically optimized by the algorithm. Our results show very good error rates inferior to 3%, though IVUS and RF images have different characteristics.
Keywords :
biomedical transducers; biomedical ultrasonics; blood vessels; data acquisition; electrocardiography; image enhancement; image matching; medical image processing; muscle; synchronisation; ultrasonic imaging; ECG signal synchronization; arterial wall measurements; cardiac muscle contraction; cardiac phase; coronary artery; error rates; image acquisition; image enhancement visualization; intravascular ultrasound imaging; relative transducer motion; virtual histology matching; Arteries; Catheters; Correlation; Error analysis; Radio frequency; Standards; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
ISSN :
2325-8861
Print_ISBN :
978-1-4673-2076-4
Type :
conf
Filename :
6420457
Link To Document :
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