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

Napredna pretraga

Pregled bibliografske jedinice broj: 1102220

Overview of the Whole Heart and Heart Chamber Segmentation Methods


Habijan, Marija; Babin, Danilo; Galić, Irena; Leventić, Hrvoje; Romić, Krešimir; Velicki, Lazar; Pižurica, Aleksandra
Overview of the Whole Heart and Heart Chamber Segmentation Methods // Cardiovascular Engineering and Technology, 11 (2020), 6; 725-747 doi:10.1007/s13239-020-00494-8 (međunarodna recenzija, pregledni rad, znanstveni)


CROSBI ID: 1102220 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Overview of the Whole Heart and Heart Chamber Segmentation Methods

Autori
Habijan, Marija ; Babin, Danilo ; Galić, Irena ; Leventić, Hrvoje ; Romić, Krešimir ; Velicki, Lazar ; Pižurica, Aleksandra

Izvornik
Cardiovascular Engineering and Technology (1869-408X) 11 (2020), 6; 725-747

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni

Ključne riječi
Bi-ventricle segmentation ; Computed tomography ; Left atrium segmentation ; Magnetic resonance ; Medical image processing ; Whole heart segmentation

Sažetak
Background Preservation and improvement of heart and vessel health is the primary motivation behind cardiovascular disease (CVD) research. Development of advanced imaging techniques can improve our understanding of disease physiology and serve as a monitor for disease progression. Various image processing approaches have been proposed to extract parameters of cardiac shape and function from different cardiac imaging modalities with an overall intention of providing full cardiac analysis. Due to differences in image modalities, the selection of an appropriate segmentation algorithm may be a challenging task. Purpose This paper presents a comprehensive and critical overview of research on the whole heart, bi-ventricles and left atrium segmentation methods from computed tomography (CT), magnetic resonance (MRI) and echocardiography (echo) imaging. The paper aims to: (1) summarize the considerable challenges of cardiac image segmentation, (2) provide the comparison of the segmentation methods, (3) classify significant contributions in the field and (4) critically review approaches in terms of their performance and accuracy. Conclusion The methods described are classified based on the used segmentation approach into (1) edge-based segmentation methods, (2) model-fitting segmentation methods and (3) machine and deep learning segmentation methods and are further split based on the targeted cardiac structure. Edge-based methods are mostly developed as semi-automatic and allow end-user interaction, which provides physicians with extra control over the final segmentation. Model-fitting methods are very robust and resistant to the high variability in image contrast and overall image quality. Nevertheless, they are often time-consuming and require appropriate models with prior knowledge. While the emerging deep learning segmentation approaches provide unprecedented performance in some specific scenarios and under the appropriate training, their performance highly depends on the data quality and the amount and the accuracy of provided annotations.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
UIP-2017-05-4968 - Metode za interpretaciju medicinskih snimki za detaljnu analizu zdravlja srca (IMAGINEHEART) (Galić, Irena, HRZZ - 2017-05) ( POIROT)

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Hrvoje Leventić (autor)

Avatar Url Marija Habijan (autor)

Avatar Url Krešimir Romić (autor)

Avatar Url Irena Galić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Habijan, Marija; Babin, Danilo; Galić, Irena; Leventić, Hrvoje; Romić, Krešimir; Velicki, Lazar; Pižurica, Aleksandra
Overview of the Whole Heart and Heart Chamber Segmentation Methods // Cardiovascular Engineering and Technology, 11 (2020), 6; 725-747 doi:10.1007/s13239-020-00494-8 (međunarodna recenzija, pregledni rad, znanstveni)
Habijan, M., Babin, D., Galić, I., Leventić, H., Romić, K., Velicki, L. & Pižurica, A. (2020) Overview of the Whole Heart and Heart Chamber Segmentation Methods. Cardiovascular Engineering and Technology, 11 (6), 725-747 doi:10.1007/s13239-020-00494-8.
@article{article, author = {Habijan, Marija and Babin, Danilo and Gali\'{c}, Irena and Leventi\'{c}, Hrvoje and Romi\'{c}, Kre\v{s}imir and Velicki, Lazar and Pi\v{z}urica, Aleksandra}, year = {2020}, pages = {725-747}, DOI = {10.1007/s13239-020-00494-8}, keywords = {Bi-ventricle segmentation, Computed tomography, Left atrium segmentation, Magnetic resonance, Medical image processing, Whole heart segmentation}, journal = {Cardiovascular Engineering and Technology}, doi = {10.1007/s13239-020-00494-8}, volume = {11}, number = {6}, issn = {1869-408X}, title = {Overview of the Whole Heart and Heart Chamber Segmentation Methods}, keyword = {Bi-ventricle segmentation, Computed tomography, Left atrium segmentation, Magnetic resonance, Medical image processing, Whole heart segmentation} }
@article{article, author = {Habijan, Marija and Babin, Danilo and Gali\'{c}, Irena and Leventi\'{c}, Hrvoje and Romi\'{c}, Kre\v{s}imir and Velicki, Lazar and Pi\v{z}urica, Aleksandra}, year = {2020}, pages = {725-747}, DOI = {10.1007/s13239-020-00494-8}, keywords = {Bi-ventricle segmentation, Computed tomography, Left atrium segmentation, Magnetic resonance, Medical image processing, Whole heart segmentation}, journal = {Cardiovascular Engineering and Technology}, doi = {10.1007/s13239-020-00494-8}, volume = {11}, number = {6}, issn = {1869-408X}, title = {Overview of the Whole Heart and Heart Chamber Segmentation Methods}, keyword = {Bi-ventricle segmentation, Computed tomography, Left atrium segmentation, Magnetic resonance, Medical image processing, Whole heart segmentation} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font