Four-dimensional vascular tree reconstruction using moving grid deformation.
OBJECTIVE
Thinned perforator flaps have been widely used in plastic surgery for greater survivability and decreased morbidity. However, quantitative analysis of three-dimensional (3D) blood flow direction and location has not been examined yet. Such information will benefit and guide the surgical thinning and dissection process. Toward this goal, this study was performed for 3D vascular tree reconstruction with the incorporation of temporal contrast-agent propagation information (three spatial dimensions plus one temporal dimension; ie, 4D).


METHODS
A novel computational framework by adopting a moving grid deformation method is presented. To take advantage of temporal information of the bolus propagating, a sequential segmentation procedure is proposed. Moreover, the temporal evolution of the vascular tree (4D vascular tree) is reconstructed during the procedure.


RESULTS
Eight anterolateral thigh perforator flaps from eight cadavers were used for this study. The age range is 60-80 years old and the gender includes four males and four females. The 3D nature of the vascular structure and 4D vascular tree evolving process are showed in comparison with maximum intensity projection images.


CONCLUSIONS
The proposed computational framework demonstrates effectiveness in the modeling of 4D vascular tree. Furthermore, it reveals the ability to detect small vessel tree structures that are beyond the limit of image resolution.
Department of Computer Science and Engineering, University of Texas at Arlington, 146 Yates Street, 338 NH, Arlington, TX 76016, USA.
Jiaxing
J
Xue
Gary
G
Arbique
Dan
D
Hatef
Spencer
S
Brown
Michel
M
Saint-Cyr
Jean X
JX
Gao
D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000792:Angiography / Q000379:methods*; D001808:Blood Vessels / Q000473:pathology; D002102:Cadaver; D003287:Contrast Media; D005205:Fascia / Q000098:blood supply / Q000637:transplantation; D005260:Female; D005263:Femoral Artery / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D012039:Regional Blood Flow / Q000502:physiology; D013524:Surgical Flaps / Q000098:blood supply; D013848:Thigh / Q000098:blood supply; D013997:Time Factors; D036542:Tomography, Spiral Computed / Q000379:methods*
D003287:Contrast Media