Application of virtual endoscopy to patient-specific planning of endovascular surgical procedures

We propose a new approach of patient-specific simulation and planning of vascular interventions using standard CT data. It is based on the virtual environment developed for the exploratory navigation within 3D volume images. Tools actions involved in the considered minimal invasive procedure have been analyzed and we present the basis of a methodological framework for the simulation of particular endovascular procedure, i.e. the artery wall expansion using a non- compliant balloon. We especially describe the characterization step, which concerns the accurate and automatic detection of the internal wall of the vessel, the description of the lumen surface, the extraction of a region of interest and the analysis of the parietal quality including the lesion. A preliminary surface model of the tool, interacting with a volume representation of the vessel wall, has been introduced in order to predict the plaque behavior during the surgical procedure. Thus, the ideal surface of the lumen and the final shape of the vessel as well as the optimal tool parameters (size, position) taking into account the lesion characteristics could be computed in the simulation process to perform actually a patient-specific planning of intervention.

[1]  S. F. Frisken-Gibson.  Using linked volumes to model object collisions, deformation, cutting, carving, and joining , 1999 .

[2]  V. Fuster,et al.  Magnetic resonance images lipid, fibrous, calcified, hemorrhagic, and thrombotic components of human atherosclerosis in vivo. , 1996, Circulation.

[3]  Jean-Louis Coatrieux,et al.  Depth-map-based scene analysis for active navigation in virtual angioscopy , 1999, IEEE Transactions on Medical Imaging.

[4]  T V Schroeder,et al.  Lipid-rich carotid artery plaques appear echolucent on ultrasound B-mode images and may be associated with intraplaque haemorrhage. , 1997, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[5]  L. Arroyo,et al.  Mechanisms of plaque rupture: mechanical and biologic interactions. , 1999, Cardiovascular research.

[6]  Alessandro Sarti,et al.  A physically based model to simulate maxillo-facial surgery from 3D CT images , 1999, Future Gener. Comput. Syst..

[7]  P. Fitzgerald,et al.  Longitudinal plaque redistribution during stent expansion. , 2000, The American journal of cardiology.

[8]  V. Leitáo,et al.  Computer Graphics: Principles and Practice , 1995 .

[9]  H. Hoffman,et al.  Virtual reality: teaching tool of the twenty‐first century? , 1997, Academic medicine : journal of the Association of American Medical Colleges.

[10]  A. Nicolaides,et al.  Characterization of symptomatic and asymptomatic carotid plaques using high‐resolution real‐time ultrasonography , 1993, The British journal of surgery.

[11]  H Delingette,et al.  Efficient linear elastic models of soft tissues for real-time surgery simulation. , 1999, Studies in health technology and informatics.

[12]  Herve Delingette,et al.  Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation , 1999, IEEE Trans. Vis. Comput. Graph..

[13]  M. Bro-Nielsen.  Fast finite elements for surgery simulation. , 1997, Studies in health technology and informatics.

[14]  T. Stijnen,et al.  Plaque area increase and vascular remodeling contribute to lumen area change after percutaneous transluminal angioplasty of the femoropopliteal artery: an intravascular ultrasound study. , 1999, Journal of vascular surgery.

[15]  V. Fuster,et al.  Behavior of atherosclerotic plaque components after in vitro angioplasty and atherectomy studied by high field MR imaging. , 1998, Magnetic resonance imaging.

[16]  N. Bom,et al.  Quantification of plaque volume, shear stress on the endothelium, and mechanical properties of the arterial wall with intravascular ultrasound imaging , 2000, Zeitschrift für Kardiologie.

[17]  Salunke Nv,et al.  Biomechanics of atherosclerotic plaque. , 1997 .

[18]  Jean-Louis Coatrieux,et al.  From virtual to active navigation in volume medical imaging , 1997, Information Technology Applications in Biomedicine. ITAB '97. Proceedings of the IEEE Engineering in Medicine and Biology Society Region 8 International Conference.

[19]  E. Bluth.  Evaluation and characterization of carotid plaque. , 1997, Seminars in ultrasound, CT, and MR.

[20]  S. Wilson,et al.  Helical CT angiography in the preoperative evaluation of carotid artery stenosis. , 1998, Journal of vascular surgery.

[21]  Jean-Louis Coatrieux,et al.  Toward an active three dimensional navigation system in medical imaging , 1997, CVRMed.

[22]  P. Stoeter,et al.  Virtual endoscopy (VE) of the basal cisterns: its value in planning the neurosurgical approach. , 1998, Minimally invasive neurosurgery : MIN.

[23]  X Leclerc,et al.  Computed tomographic angiography for the evaluation of carotid artery stenosis. , 1995, Stroke.

[24]  J L Coatrieux.  [The scientific bases of virtual endoscopy]. , 1999, Bulletin de l'Academie nationale de medecine.

[25]  P. Haigron,et al.  3D navigation in medicine , 1996 .

[26]  N Samman,et al.  Computer-assisted three-dimensional surgical planning and simulation: 3D color facial model generation. , 2000, International journal of oral and maxillofacial surgery.

[27]  W. Eric L. Grimson,et al.  Volumetric object modeling for surgical simulation , 1998, Medical Image Anal..

[28]  Lars Kai Hansen,et al.  Quantitative analysis of ultrasound B-mode images of carotid atherosclerotic plaque: correlation with visual classification and histological examination , 1998, IEEE Transactions on Medical Imaging.

[29]  R. Kelley,et al.  Ultrasound densitometric analysis of carotid plaque composition. Pathoanatomic correlation. , 1996, Stroke.

[30]  S Weghorst,et al.  Fast finite element modeling for surgical simulation. , 1999, Studies in health technology and informatics.

[31]  Clayman Rv.  Virtual endoscopy for planning and simulation of minimally invasive neurosurgery. , 1999 .

[32]  W L Nowinski,et al.  Planning and simulation of neurosurgery in a virtual reality environment. , 2000, Neurosurgery.

[33]  W. Quist,et al.  Noninvasive characterization of plaque morphology using helical computed tomography. , 1998, The Journal of cardiovascular surgery.

[34]  R. Kamm,et al.  Distribution of Circumferential Stress in Ruptured and Stable Atherosclerotic Lesions A Structural Analysis With Histopathological Correlation , 1993, Circulation.

[35]  L. Topoleski,et al.  Mechanical behavior of calcified plaques: a summary of compression and stress-relaxation experiments , 2000, Zeitschrift für Kardiologie.

[36]  R Clavel,et al.  Force feedback for virtual reality based minimally invasive surgery simulator. , 1996, Studies in health technology and informatics.

[37]  A. Nicolaides,et al.  Ultrasonic classification of carotid plaques causing less than 60% stenosis according to ultrasound morphology and events. , 1993, The Journal of cardiovascular surgery.

[38]  N Ayache,et al.  [A new concept in digestive surgery: the computer assisted surgical procedure, from virtual reality to telemanipulation]. , 1997, Bulletin de l'Academie nationale de medecine.