Study on multi-density contrast agent fillers of duct casting based on CT three-dimensional reconstruction

Abstract

The three-dimensional visualization model of human body duct is based on virtual anatomical structure reconstruction with duct angiography, which realizes virtual model transferred from two-dimensional, planar and static images into three-dimensional, stereoscopic and dynamic ones repectively. In recent years, the multi-duct segmentation and division of the same specimen (or organ) is the focus of attention shared by surgeons and clinical anatomists. On the basis of 4.22 g/cm³ body bone density, this study has screened out metal oxide contract agent with different density for infusion and modeling, as well as compared and analyzed the effects of three-dimensional image of CT virtual bronchoscopy (CTVB), three-dimensional image of CT maximum intensity projection and three-dimensional model. This experiment result showed synchronously infusing multi-duct of same specimen (or organ) with contrast agent in different densities could reconstruct three-dimensional models of all ducts once only and adjust threshold to develop single or multiple ducts. It was easier to segment and observe the duct structure, anastomosis, directions and crossing in different parts, which was beyond comparison with three-dimensional image of CTVB. Although the existing three-dimensional duct reconstruction techniques still cannot be applied in living bodies temporarily, this study focused on a creative design of ducts segmentation in different density, which proposed a new experimental idea for developing multi-duct three-dimensional model in living body in the future. It will play a significant role in disease diagnosis and individual design in surgical treatment program. Therefore, this study observes the three-dimensional status of human duct with the application of contrast agent fillers in different density, combined with three-dimensional reconstruction technology. It provides an innovative idea and method for constructing three-dimensional model of digital multi-duct specimen, and the ultimate goal is to develop the digitized virtual human and precise medical treatment better and faster.

Keywords

bronchi of pig lung / three-dimensional reconstruction / contrast agent / density difference / duct casting

References

[1] DebbautC, SegersP, CornillieP, et al. . Analyzing the human liver vascular architecture by combining vascular corrosion casting and micro-CT scanning: a feasibility study. J Anat, 2014, 224(4): 509-517 PMID: 24433401 PMCID: 4098684

[2] ChakféN, OhanaM, GeorgY. Commentary on “Three-dimensional CT reconstruction of the carotid artery: identifying the high bifurcation”. Eur J Vasc Endovasc Surg, 2015, 49(2): 154-155 PMID: 25544314

[3] MarquesJ, MusseJ, CaetanoC, et al. . Analysis of bite marks in foodstuffs by computer tomography (cone beam CT)-CD reconstruction. J Forensic Odontostomatol, 2013, 31(1): 1-7 PMID: 24776435

[4] ZengN, TaoH, FangC, et al. . Individualized preoperative planning using three-dimensional modeling for Bismuth and Corlette type III hilar cholangiocarcinoma. World J Surg Oncol, 2016, 14(1): 1-8

[5] ThomasTP, AndersonDD, WillisAR, et al. . A computational/ experimental platform for investigating three-dimensional puzzle solving of comminuted articular fractures. Comput Methods Biomech Biomed Engin, 2011, 14(3): 263-270 PMID: 20924863 PMCID: 3045471

[6] XiangN, FangC. Application of hepatic segment resection combined with rigid choledochoscope in the treatment of complex hepatolithiasis guided by three-dimensional visualization technology. Zhonghua Wai Ke Za Zhi (Chinese), 2015, 53(5): 335-359

[7] Wakui S, Motohashi M, Inomata T, et al. Three-dimensional reconstruction of deferent ducts papillae in urogenital duct system of the male rat. Prostate,2015,75(6):646–652

[8] WangY, CaoHY, XieMX, et al. . Cardiovascular cast model fabrication and casting effectiveness evaluation in fetus with severe congenital heart disease or normal heart. J Huazhong Univ Sci TechnolMedSci, 2016, 36(2): 259-264

[9] LiJ, NieL, LiZ, et al. . Maximizing modern distribution of complex anatomical spatial information:3-D reconstruction and rapid prototype production of anatomical corrosion casts of human specimens. Anat Sci Educ, 2012, 5(6): 330-339 PMID: 22653786

[10] ErlichmanDB, BlitmanN, WeinsteinS, et al. . Use of multidetector computed tomography 3-D reconstructions in assessing lower tracheal-bronchial pathology and subsequent surgical interventions. Clin Imaging, 2015, 39(2): 259-263 PMID: 25542753

[11] ReginelliA, RossiC, CapassoR. Evaluation with multislice CT of the hilar pulmonary nodules for probable infiltration of vascular-bronchial structures. Recenti Prog Med, 2013, 104(7-8): 403-405 PMID: 24042416

[12] Huang HL, Li WP. Environment-friendly canal cast filler of human body and its preparation method (Chinese): ZL201010274655.X.2011-06-01

[13] Huang HL, Huang X, Lin JL. Human body canal cast filler and its preparation method (Chinese): ZL201110213751.8. 2012-03-28

[14] Huang HL, Gong DC, Huang QF. A perfusion tube for fetal vascular cast specimens (Chinese): ZL201620424239.6.2017-02-22

[15] NanashimaA, AboT S, et al. . Three-dimensional cholangiography applying C-arm computed tomography in bile duct carcinoma: a new radiological technique. Hepatogastroenterology, 2009, 56(91-92): 615-618 PMID: 19621666

[16] JungSY, PaeSY, ChungSM, et al. . Three-dimensional CT with virtualbronchoscopy: a useful modality for bronchial foreign bodies in pediatric patients. Eur Arch Otorhinolaryngol, 2012, 269(1): 223-238 PMID: 21409389

[17] KimD, SonJS, KoS, et al. . Measurements of the length and diameter of main bronchi on three-dimensional images in Asian adult patients in comparison with the height of patients. J Cardiothorac Vasc Anesth, 2014, 28(4): 890-895 PMID: 24103712

[18] NagashimaT, ShimizuK, OhtakiY, et al. . An analysis of variations in the bronchovascular pattern of the right upper lobe using three-dimensional CT angiography and bronchography. Gen Thorac Cardiovasc Surg, 2015, 63(6): 354-360 PMID: 25724170 PMCID: 4454828

[19] XuZ, BagciU, FosterB, et al. . A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Med Image Anal, 2015, 24(1): 1-17 PMID: 26026778 PMCID: 4532577