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False dyssynchrony: problem with image-based cardiac functional analysis using x-ray computed tomography

Authors :
Okkyun Lee
Masafumi Kidoh
Yoshito Otake
Yoshinobu Sato
Lewis C. Becker
Yuki Suzuki
Luisa Ciuffo
Stefan L. Zimmerman
Joao A.C. Lima
George S. K. Fung
Katsuyuki Taguchi
Zeyang Shen
Hiroshi Ashikaga
Takahiro Higuchi
Elliot K. Fishman
Source :
Medical Imaging 2017: Physics of Medical Imaging.
Publication Year :
2017
Publisher :
SPIE, 2017.

Abstract

We have developed a digitally synthesized patient which we call “Zach” (Zero millisecond Adjustable Clinical Heart) phantom, which allows for an access to the ground truth and assessment of image-based cardiac functional analysis (CFA) using CT images with clinically realistic settings. The study using Zach phantom revealed a major problem with image-based CFA: "False dyssynchrony." Even though the true motion of wall segments is in synchrony, it may appear to be dyssynchrony with the reconstructed cardiac CT images. It is attributed to how cardiac images are reconstructed and how wall locations are updated over cardiac phases. The presence and the degree of false dyssynchrony may vary from scan-to-scan, which could degrade the accuracy and the repeatability (or precision) of image-based CT-CFA exams.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
Medical Imaging 2017: Physics of Medical Imaging
Accession number :
edsair.doi...........c7ebd82d9fbb4b58aeb5ce05aed0bdff
Full Text :
https://doi.org/10.1117/12.2250257