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Pregled bibliografske jedinice broj: 1048466

Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements


Babin, Danilo; Devos, Daniel; Platiša, Ljiljana; Jovanov, Ljubomir; Habijan, Marija; Leventić, Hrvoje; Philips, Wilfried
Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements // International Conference on Advanced Concepts for Intelligent Vision Systems
New Zealand: Springer International Publishing, 2020. str. 77-86 doi:10.1007/978-3-030-40605-9_7 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1048466 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements

Autori
Babin, Danilo ; Devos, Daniel ; Platiša, Ljiljana ; Jovanov, Ljubomir ; Habijan, Marija ; Leventić, Hrvoje ; Philips, Wilfried

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

ISBN
978-3-030-40605-9

Skup
International Conference on Advanced Concepts for Intelligent Vision Systems

Mjesto i datum
New Zealand, 10-14.02.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Image segmentation Cardiac MRI Pulse Wave Velocity

Sažetak
Aortic stiffness is an important diagnostic and prognostic parameter for many diseases, and is estimated by measuring the Pulse Wave Velocity (PWV) from Cardiac Magnetic Resonance (CMR) images. However, this process requires combinations of multiple sequences, which makes the acquisition long and processing tedious. We propose a method for aorta segmentation and centerline extraction from para-sagittal Phase-Contrast (PC) CMR images. The method uses the order of appearance of the blood flow in PC images to track the aortic centerline from the seed start position to the seed end position of the aorta. The only required user interaction involves selection of 2 input seed points for the start and end position of the aorta. We validate our results against the ground truth manually extracted centerlines from para-sagittal PC images and anatomical MR images. The resulting measurement values of both centerline length and PWV show high accuracy and low variability, which allows for use in clinical setting. The main advantage of our method is that it requires only velocity encoded PC image, while being able to process images encoded only in one direction.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-UIP-2017-05-4968 - Metode za interpretaciju medicinskih snimki za detaljnu analizu zdravlja srca (IMAGINEHEART) (Galić, Irena, HRZZ - 2017-05 )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Marija Habijan (autor)

Avatar Url Hrvoje Leventić (autor)

Citiraj ovu publikaciju

Babin, Danilo; Devos, Daniel; Platiša, Ljiljana; Jovanov, Ljubomir; Habijan, Marija; Leventić, Hrvoje; Philips, Wilfried
Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements // International Conference on Advanced Concepts for Intelligent Vision Systems
New Zealand: Springer International Publishing, 2020. str. 77-86 doi:10.1007/978-3-030-40605-9_7 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Babin, D., Devos, D., Platiša, L., Jovanov, L., Habijan, M., Leventić, H. & Philips, W. (2020) Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements. U: International Conference on Advanced Concepts for Intelligent Vision Systems doi:10.1007/978-3-030-40605-9_7.
@article{article, year = {2020}, pages = {77-86}, DOI = {10.1007/978-3-030-40605-9\_7}, keywords = {Image segmentation Cardiac MRI Pulse Wave Velocity}, doi = {10.1007/978-3-030-40605-9\_7}, isbn = {978-3-030-40605-9}, title = {Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements}, keyword = {Image segmentation Cardiac MRI Pulse Wave Velocity}, publisher = {Springer International Publishing}, publisherplace = {New Zealand} }

Časopis indeksira:


  • Scopus


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