Literature DB >> 18815068

The importance of organ geometry and boundary constraints for planning of medical interventions.

S Misra1, K J Macura, K T Ramesh, A M Okamura.   

Abstract

Realistic modeling of medical interventions involving tool-tissue interactions has been considered to be a key requirement in the development of high-fidelity simulators and planners. Organ geometry, soft-tissue constitutive laws, and boundary conditions imposed by the connective tissues surrounding the organ are some of the factors that govern the accuracy of medical intervention planning. In this study it is demonstrated that, for needle path planning, the organ geometry and boundary constraints surrounding the organ are the most important factors influencing the deformation. As an example, the procedure of needle insertion into the prostate (e.g. for biopsy or brachytherapy) is considered. Image segmentation is used to extract the anatomical details from magnetic resonance images, while object-oriented finite element analysis (OOF) software is used to generate finite element (FE) meshes from the segmented images. Two-dimensional FE simulations that account for complex anatomical details along with relative motion between the prostate and its surrounding structure using cohesive zone models are compared with traditional simulation models having simple organ geometry and boundary constraints. Nodal displacements for these simpler models were observed to be up to 14 times larger than those obtained from the anatomically accurate models.

Entities:  

Mesh:

Year:  2008        PMID: 18815068      PMCID: PMC2681491          DOI: 10.1016/j.medengphy.2008.08.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  12 in total

1.  System for prostate brachytherapy and biopsy in a standard 1.5 T MRI scanner.

Authors:  Robert C Susil; Kevin Camphausen; Peter Choyke; Elliot R McVeigh; Gary S Gustafson; Holly Ning; Robert W Miller; Ergin Atalar; C Norman Coleman; Cynthia Ménard
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

2.  Force modeling for needle insertion into soft tissue.

Authors:  Allison M Okamura; Christina Simone; Mark D O'Leary
Journal:  IEEE Trans Biomed Eng       Date:  2004-10       Impact factor: 4.538

3.  3D needle-tissue interaction simulation for prostate brachytherapy.

Authors:  Orcun Goksel; Septimiu E Salcudean; Simon P DiMaio; Robert Rohling; James Morris
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

4.  Random walks for image segmentation.

Authors:  Leo Grady
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2006-11       Impact factor: 6.226

5.  Deflection of a flexible needle during insertion into soft tissue.

Authors:  Niki Abolhassani; Rajni V Patel
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

6.  Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging.

Authors:  A Bharatha; M Hirose; N Hata; S K Warfield; M Ferrant; K H Zou; E Suarez-Santana; J Ruiz-Alzola; A D'Amico; R A Cormack; R Kikinis; F A Jolesz; C M Tempany
Journal:  Med Phys       Date:  2001-12       Impact factor: 4.071

7.  Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review.

Authors:  Sarthak Misra; K T Ramesh; Allison M Okamura
Journal:  Presence (Camb)       Date:  2008-10-01

8.  A material sensitivity study on the accuracy of deformable organ registration using linear biomechanical models.

Authors:  Y Chi; J Liang; D Yan
Journal:  Med Phys       Date:  2006-02       Impact factor: 4.071

9.  MRI/TRUS data fusion for brachytherapy.

Authors:  V Daanen; J Gastaldo; J Y Giraud; P Fourneret; J L Descotes; M Bolla; D Collomb; J Troccaz
Journal:  Int J Med Robot       Date:  2006-09       Impact factor: 2.547

10.  Accomplishments and challenges of surgical simulation.

Authors:  R M Satava
Journal:  Surg Endosc       Date:  2001-02-06       Impact factor: 3.453

View more
  9 in total

1.  MRI-guided robotic prostate biopsy: a clinical accuracy validation.

Authors:  Helen Xu; Andras Lasso; Siddharth Vikal; Peter Guion; Axel Krieger; Aradhana Kaushal; Louis L Whitcomb; Gabor Fichtinger
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

2.  Targeting error simulator for image-guided prostate needle placement.

Authors:  Andras Lasso; Shachar Avni; Gabor Fichtinger
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

Review 3.  Needle-tissue interactive mechanism and steering control in image-guided robot-assisted minimally invasive surgery: a review.

Authors:  Pan Li; Zhiyong Yang; Shan Jiang
Journal:  Med Biol Eng Comput       Date:  2018-04-21       Impact factor: 2.602

4.  Design of a predictive targeting error simulator for MRI-guided prostate biopsy.

Authors:  Shachar Avni; Siddharth Vikal; Gabor Fichtinger
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2010-02-23

5.  Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images.

Authors:  Tzu-Ching Shih; Jeon-Hor Chen; Dongxu Liu; Ke Nie; Lizhi Sun; Muqing Lin; Daniel Chang; Orhan Nalcioglu; Min-Ying Su
Journal:  Phys Med Biol       Date:  2010-07-05       Impact factor: 3.609

6.  Accuracy analysis in MRI-guided robotic prostate biopsy.

Authors:  Helen Xu; Andras Lasso; Peter Guion; Axel Krieger; Aradhana Kaushal; Anurag K Singh; Peter A Pinto; Jonathan Coleman; Robert L Grubb; Jean-Baptiste Lattouf; Cynthia Menard; Louis L Whitcomb; Gabor Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-03-27       Impact factor: 2.924

7.  Mechanics of dynamic needle insertion into a biological material.

Authors:  Mohsen Mahvash; Pierre E Dupont
Journal:  IEEE Trans Biomed Eng       Date:  2009-11-20       Impact factor: 4.538

8.  Evaluation of a robotic technique for transrectal MRI-guided prostate biopsies.

Authors:  Martijn G Schouten; Joyce G R Bomers; Derya Yakar; Henkjan Huisman; Eva Rothgang; Dennis Bosboom; Tom W J Scheenen; Sarthak Misra; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2011-09-29       Impact factor: 5.315

9.  An adaptive finite element model for steerable needles.

Authors:  Michele Terzano; Daniele Dini; Ferdinando Rodriguez Y Baena; Andrea Spagnoli; Matthew Oldfield
Journal:  Biomech Model Mechanobiol       Date:  2020-03-09
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.