Pregled bibliografske jedinice broj: 71714
Optical flow algorithm for cardiac motion estimation
Optical flow algorithm for cardiac motion estimation // Proceedings of World Congress on Medical Physics and Biomedical Engineering / Fullerton, Gary D. (ur.).
Chicago (IL), 2000. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 71714 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optical flow algorithm for cardiac motion estimation
Autori
Lončarić, Sven ; Majcenić, Zoran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of World Congress on Medical Physics and Biomedical Engineering
/ Fullerton, Gary D. - Chicago (IL), 2000
Skup
World Congress on Medical Physics and Biomedical Engineering
Mjesto i datum
Chicago (IL), Sjedinjene Američke Države, 23.07.2000. - 28.07.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cardiac image analysis;optical flow;velocity field
Sažetak
East Adriatic coast is characterized by a large Diagnostic techniques in cardiology require
complex image analysis of single images and image sequences
obtained by a variety of medical imaging modalities such
as ECG-gated MR,CT,and ultrasound.Cardiac motion
estimation provides useful information about cardiac func-
tion.In this work,we present a novel brightness-based al-
gorithm for computation of optical flow.The advantage of
brightness-based techniques as opposed to shape-based tech-
niques is that they do not require segmentation of images
to obtain the shape of various heart regions.The proposed
optical flow algorithm is applied to ECG-gated MR image
sequence of the heart.The method used in this work is
based on minimization of an energy function that is com-
puted for two consecutive image frames.The energy func-
tion consists of two terms.The first energy term represents
a measure of similarity between the regions in two image
frames.The second energy term calculates the neighbor-
hood in fluence and is increased based on the di fference in
velocities and the cross-correlation of neighboring regions.
The regions are dinamically grown and are of variable size.
The minimal energy state corresponds to the optimal so-
lution of the optical flow estimation problem.The energy
function minimization is based on a steepest descent algo-
rithm.The proposed algorithm has been implemented in C
language and tested on mathematical phantoms and real pa-
tient images.Experiments have shown encouraging results.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
