Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets

Methods of Information in Medicine

Volumn 51, Issue 5, 2012, Pages 415-422

  Forkert, N D ^a   Schmidt Richberg, A ^b   Fiehler, J ^a   Illies, T ^a   Moller D ^c   Handels, H ^b   Saring D ^a  

^a UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

^b UNIVERSITY OF LÜBECK   (Germany)

^c UNIVERSITY OF HAMBURG   (Germany)

Author keywords

Cerebrovascular system; Computerassisted image analysis; Correction; Magnetic resonance imaging; Segmentation gaps

Indexed keywords

ARTICLE; BRAIN ARTERY; BRAIN VEIN; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; HUMAN; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; RADIOGRAPHY; STANDARD; THREE DIMENSIONAL IMAGING;

CEREBRAL ARTERIES; CEREBRAL VEINS; DATABASES AS TOPIC; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE ANGIOGRAPHY;

EID: 84870902095     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME11-02-0037     Document Type: Article

References (26)

1. Ries T, Wegscheider K, Wulff A, Radelfahr K, Saring D, Forkert ND, et al. Quantification of recurrence volumes after endovascular treatment of cerebral aneurysm as surrogate endpoint for treatment stability. Neuroradiology 2011; 53 (8): 593-598.
2. Geibprasert S, Pongpech S, Jiarakongmun P, Shroff MM, Armstrong DC, Krings T. Radiologic assessment of brain arteriovenous malformations: What clinicians need to know. Radiographics: a review publication of the Radiological Society of North America, Inc 2010; 30 (2): 483-501.
3. Choi JH, Mohr JP. Brain arteriovenous malformations in adults. Lancet Neurol 2005; 4 (5): 299-308.
4. Shapiro LB, Tien RD, Golding SJ, Totterman SM. Preliminary results of a modified surface rendering technique in the display of magnetic resonance angiography images. Magnetic resonance imaging 1994; 12 (3): 461-468.
5. Forkert ND, Saring D, Handels H. Automatic analysis of the anatomy of arteriovenous malformations using 3D and 4D MRA image sequences. Stud Health Technol Inform 2010; 160 (Pt 2): 1268-1272.
6. Groden C, Laudan J, Gatchell S, Zeumer H. Threedimensional pulsatile flow simulation before and after endovascular coil embolization of a terminal cerebral aneurysm. J Cereb Blood Flow Metab 2001; 21 (12): 1464-1471.
7. Fiehler J, Illies T, Piening M, Saring D, Forkert N, Regelsberger J, et al. Territorial and microvascular perfusion impairment in brain arteriovenous malformations. AJNR American journal of neuro -radiology 2009; 30 (2): 356-361.
8. Groth M, Fiehler J, Forkert ND. Variability in visual assessment of cerebral aneurysms could be reduced by quantification of recurrence volumes. AJNR American journal of neuroradiology 2011; 32 (8): E163-164.
9. Handels H, Ehrhardt J. Medical image computing for computer-supported diagnostics and therapy. Advances and perspectives. Methods Inf Med 2009; 48 (1): 11-17.
10. Suri JS, Liu K, Reden L, Laxminarayan S. A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II. IEEE Trans Inf Technol Biomed 2002; 6 (4): 338-350.
11. Lesage D, Angelini ED, Bloch I, Funka-Lea G. A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes. Medical image analysis 2009; 13 (6): 819-845.
12. Passat N, Ronse C, Baruthio J, Armspach JP, Maillot C. Magnetic resonance angiography: from anatomical knowledge modeling to vessel segmentation. Medical image analysis 2006; 10 (2): 259-274.
13. Nowinski WL, Volkau I, Marchenko Y, Thirunavu-Ukarasuu A, Ng TT, Runge VM. A 3D model of human cerebrovasculature derived from 3T magnetic resonance angiography. Neuroinformatics 2009; 7 (1): 23-36.
14. Risser L, Plouraboue F, Descombes X. Gap filling of 3-D microvascular networks by tensor voting. IEEE transactions on medical imaging 2008; 27 (5): 674-687.
15. Rochery M, Jermyn IH, Zerubia J, editors. Gap closure in (road) networks using higher-order active contours. ICIP '04 2004-International Conference on Image Processing, 2004; Oct. 24-27, 2004.
16. Tesser H, Pavlidis T, editors. RoadFinder Front End: an automated road extraction system. In: Proceedings of the 15th International Conference on Pattern Recognition; 2000.
17. Lacoste C, Descombes X, Zerubia J. Point processes for unsupervised line network extraction in remote sensing. IEEE Trans Pattern Anal Mach Intell 2005; 27 (10): 1568-1579.
18. Hassouna MS, Farag AA, Hushek S, Moriarty T. Cerebrovascular segmentation from TOF using stochastic models. Medical image analysis 2006; 10 (1): 2-18.
19. Lee TC, Kashyap RL, Chu CN. Building skeleton models via 3-D medial surface/axis thinning algorithms. CVGIP: Graph Models Image Process 1994; 56 (6): 462-478.
20. Sato Y, Nakajima S, Shiraga N, Atsumi H, Yoshida S, Koller T, et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Medical image analysis 1998; 2 (2): 143-168.
21. Dijkstra EW. A Note on Two Problems in Connexion with Graphs. Numerische Mathematik 1959; 1: 269-271.
22. Forkert ND, Saring D, Fiehler J, Illies T, Moller D, Handels H. Automatic brain segmentation in Timeof- Flight MRA images. Methods Inf Med 2009; 48 (5): 399-407.
23. Schmidt-Richberg A, Handels H, Ehrhardt J. Integrated segmentation and non-linear registration for organ segmentation and motion field estimation in 4D CT data. Methods Inf Med 2009; 48 (4): 344-349.
24. Parzen E. On estimation of a probability density function and mode. Annals of Mathematical Statistics 1962; 33: 1065-1076.
25. Forkert ND, Schmidt-Richberg A, Fiehler J, Illies T, Moller D, Handels H, et al. Fuzzy-based Vascular Structure Enhancement in Time-of-Flight MRA Images for Improved Segmentation. Methods Inf Med 2011; 50 (1): 74-83.
26. Forkert ND, Schmidt-Richberg A, Fiehler J, Illies T, Möller D, Säring D, et al. 3D cerebrovascular segmentation combining fuzzy vessel enhancement and level-sets with anisotropic energy weights. Magn Reson Imaging 2012; Epub ahead of print.