Model-Free automatic segmentation of the aortic valve in multislice computed tomography images

被引：0

作者：

Unay, Devrim ^{[1
]}

Harmankaya, Ibrahim ^{[2
]}

Oksuz, Ilkay ^{[2
]}

Cubuk, Rahmi ^{[3
]}

Celik, Levent ^{[4
]}

Kadipasaoglu, Kamuran ^{[5
]}

机构：

[1] Izmir Democracy Univ, Fac Engn, Elect Elect Engn, Izmir, Turkey

[2] Bahcesehir Univ, Fac Engn, Elect & Elect Engn, Istanbul, Turkey

[3] Maltepe Univ, Fac Med, Dept Radiol, Istanbul, Turkey

[4] Radyol Online Med Imaging Serv Inc, Istanbul, Turkey

[5] Yildiz Tech Univ, Elect Elect Fac, Biomed Engn, Istanbul, Turkey

来源：

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI | 2021年 / 27卷 / 02期

关键词：

Aortic valve; Segmentation; Model-Free; Region growing; Hessian; Supravalvular sinus detection; Ascending aorta; Computed tomography; Valvular heart diseases; LEFT-VENTRICLE; CARDIAC CT; QUANTIFICATION; STENOSIS;

D O I：

10.5505/pajes.2020.26817

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Valvular diseases may affect one or more of the cardiac valves, which may need to be replaced or restored for effective treatment. The surgical procedure can be guided by a patient-specific and dynamic model containing information complementary to the 2D/3D static images of the valves. To this end, in this study a novel automated model-free aortic valve segmentation method is presented, and its performance is evaluated against expert annotations over conventional contrast-enhanced ECG-gated multislice CT data of the aortic valve at its closed position. Detailed evaluation of the proposed method in 19 real cases revealed an encouraging performance of 3D region growing over Hessian based approach but also demonstrated the complexity of the problem.

引用

页码：122 / 128

页数：7

共 27 条

[1] Non-invasive cardiac output monitoring by aortic blood flow measurement with the Dynemo 3000 [J].

Boulnois, JLG ;

Pechoux, T .

JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2000, 16 (02) :127-140

[2] Diagnosis of aortic valvular stenosis by multislice cardiac computed tomography [J].

Bouvier, Erik ;

Logeart, Damien ;

Sablayrolles, Jean-Louis ;

Feignoux, Jacques ;

Scheuble, Claude ;

Touche, Thierry ;

Thabut, Gabriel ;

Cohen-Solal, Alain .

EUROPEAN HEART JOURNAL, 2006, 27 (24) :3033-3038

[3]

Ecabert O, 2006, P SPIE MEDICAL IMAGI, V6144, P1

[4] Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation [J].

Elattar, M. A. ;

Wiegerinck, E. M. ;

Planken, R. N. ;

Vanbavel, E. ;

van Assen, H. C. ;

Baan, J., Jr. ;

Marquering, H. A. .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2014, 52 (07) :611-618

[5] Multislice computed tomography for detection of patients with aortic valve stenosis and quantification of severity [J].

Feuchtner, GM ;

Dichtl, W ;

Friedrich, GJ ;

Frick, M ;

Alber, H ;

Schachner, T ;

Bonatti, J ;

Matlouhi, A ;

Frede, T ;

Pachinger, O ;

Nedden, DZ ;

Müller, S .

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2006, 47 (07) :1410-1417

[6] Three-dimensional cardiovascular image analysis [J].

Frangi, AF ;

Rueckert, D ;

Duncan, JS .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (09) :1005-1010

[7] Three-dimensional modeling for functional analysis of cardiac images: A review [J].

Frangi, AF ;

Niessen, WJ ;

Viergever, MA .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (01) :2-25

[8]

Frangi AF, 1998, LECT NOTES COMPUT SC, V1496, P130, DOI 10.1007/BFb0056195

[9] Automatic segmentation of the left ventricle and computation of diagnostic parameters using regiongrowing and a statistical model [J].

Fritz, D ;

Rinck, D ;

Unterhinninghofen, R ;

Dillmann, R ;

Scheuering, M .

MEDICAL IMAGING 2005: IMAGE PROCESSING, PT 1-3, 2005, 5747 :1844-1854

[10] Complete valvular heart apparatus model from 4D cardiac CT [J].

Grbic, Sasa ;

Ionasec, Razvan ;

Vitanovski, Dime ;

Voigt, Ingmar ;

Wang, Yang ;

Georgescu, Bogdan ;

Navab, Nassir ;

Comaniciu, Dorin .

MEDICAL IMAGE ANALYSIS, 2012, 16 (05) :1003-1014

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