Signed-distance function based non-rigid registration of image series with varying image intensity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F21%3A00080677" target="_blank" >RIV/00023001:_____/21:00080677 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21340/21:00346092

Result on the web

<a href="http://www.aimsciences.org/article/doi/10.3934/dcdss.2020386" target="_blank" >http://www.aimsciences.org/article/doi/10.3934/dcdss.2020386</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3934/dcdss.2020386" target="_blank" >10.3934/dcdss.2020386</a>

Result language

angličtina

Original language name

Signed-distance function based non-rigid registration of image series with varying image intensity

Original language description

In this paper we propose a method for locally adjusted optical flow-based registration of multimodal images, which uses the segmentation of object of interest and its representation by the signed-distance function (OFdist method). We deal with non-rigid registration of the image series acquired by the Modiffied Look-Locker Inversion Recovery (MOLLI) magnetic resonance imaging sequence, which is used for a pixel-wise estimation of T1 relaxation time. The spatial registration of the images within the series is necessary to compensate the patient&apos;s imperfect breath-holding. The evolution of intensities and a large variation of image contrast within the MOLLI image series, together with the myocardium of left ventricle (the object of interest) typically not being the most distinct object in the scene, makes the registration challenging. The paper describes all components of the proposed OFdist method and their implementation. The method is then compared to the performance of a standard mutual information maximization-based registration method, applied either to the original image (MIM) or to the signed-distance function (MIMdist). Several experiments with synthetic and real MOLLI images are carried out. On synthetic image with a single object, MIM performed the best, while OFdist and MIMdist provided better results on synthetic images with more than one object and on real images. When applied to signed-distance function of two objects of interest, MIMdist provided a larger registration error, but more homogeneously distributed, compared to OFdist. For the real MOLLI image series with left ventricle pre-segmented using a level-set method, the proposed OFdist registration performed the best, as is demonstrated visually and by measuring the increase of mutual information in the object of interest and its neighborhood. © 2021 American Institute of Mathematical Sciences. All rights reserved.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

<a href="/en/project/NV19-08-00071" target="_blank" >NV19-08-00071: Analysis of flow character and prediction of evolution in endovascular treated arteries by magnetic resonance imaging coupled with mathematical modeling</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Discrete and Continuous Dynamical Systems-Series S

ISSN

1937-1632

e-ISSN

—

Volume of the periodical

14

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

16

Pages from-to

1145-1160

UT code for WoS article

000608373600028

EID of the result in the Scopus database

2-s2.0-85099694424