Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 71689

3-D cardiac motion estimation by point-constrained optical flow algorithm


Macan, Tvrtko; Lončarić, Sven
3-D cardiac motion estimation by point-constrained optical flow algorithm // Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Babić, Hrvoje (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2001. str. 255-259 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 71689 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
3-D cardiac motion estimation by point-constrained optical flow algorithm

Autori
Macan, Tvrtko ; Lončarić, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Babić, Hrvoje - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2001, 255-259

Skup
2nd International Symposium on Image and Signal Processing and Analysis

Mjesto i datum
Pula, Hrvatska, 19.06.2001. - 21.06.2001

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image segmentation; motion estimation; optical flow

Sažetak
In this paper we propose a technique for 3-D motion estimation of the left ventricle from image sequence of a beating human heart. Accurate motion estimation of cardiac wall has been shown to be very important in studying coronary diseases. The proposed technique requires initial 3-D segmentation of left ventricle area obtained for each time frame during cardiac cycle. Characteristic points at its surface are detected, and matched in two consecutive frames by matching shape properties. Optical flow is computed from the sequence of images using gradient-based Horn-Schunck method, additionally constrained with motion estimates for characteristic surface points. Our work demonstrates application of Horn-Schunck optical flow algorithm for 3-D cardiac motion estimation, and proposes to improve the accuracy of estimation by introducing constraints obtained by shape-based matching method.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036024

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Tvrtko Macan (autor)

Avatar Url Sven Lončarić (autor)


Citiraj ovu publikaciju:

Macan, Tvrtko; Lončarić, Sven
3-D cardiac motion estimation by point-constrained optical flow algorithm // Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Babić, Hrvoje (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2001. str. 255-259 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Macan, T. & Lončarić, S. (2001) 3-D cardiac motion estimation by point-constrained optical flow algorithm. U: Lončarić, S. & Babić, H. (ur.)Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis.
@article{article, author = {Macan, Tvrtko and Lon\v{c}ari\'{c}, Sven}, year = {2001}, pages = {255-259}, keywords = {image segmentation, motion estimation, optical flow}, title = {3-D cardiac motion estimation by point-constrained optical flow algorithm}, keyword = {image segmentation, motion estimation, optical flow}, publisher = {Sveu\v{c}ili\v{s}ni ra\v{c}unski centar Sveu\v{c}ili\v{s}ta u Zagrebu (Srce)}, publisherplace = {Pula, Hrvatska} }
@article{article, author = {Macan, Tvrtko and Lon\v{c}ari\'{c}, Sven}, year = {2001}, pages = {255-259}, keywords = {image segmentation, motion estimation, optical flow}, title = {3-D cardiac motion estimation by point-constrained optical flow algorithm}, keyword = {image segmentation, motion estimation, optical flow}, publisher = {Sveu\v{c}ili\v{s}ni ra\v{c}unski centar Sveu\v{c}ili\v{s}ta u Zagrebu (Srce)}, publisherplace = {Pula, Hrvatska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font