Literature DB >> 31236743

Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning.

Alessio Virzì1,2, Cécile Olivia Muller3,4, Jean-Baptiste Marret3,4, Eva Mille3,4, Laureline Berteloot3,5, David Grévent3,5, Nathalie Boddaert3,5, Pietro Gori6, Sabine Sarnacki3,4, Isabelle Bloch6,3.   

Abstract

Patient-specific 3D modeling is the first step towards image-guided surgery, the actual revolution in surgical care. Pediatric and adolescent patients with rare tumors and malformations should highly benefit from these latest technological innovations, allowing personalized tailored surgery. This study focused on the pelvic region, located at the crossroads of the urinary, digestive, and genital channels with important vascular and nervous structures. The aim of this study was to evaluate the performances of different software tools to obtain patient-specific 3D models, through segmentation of magnetic resonance images (MRI), the reference for pediatric pelvis examination. Twelve software tools freely available on the Internet and two commercial software tools were evaluated using T2-w MRI and diffusion-weighted MRI images. The software tools were rated according to eight criteria, evaluated by three different users: automatization degree, segmentation time, usability, 3D visualization, presence of image registration tools, tractography tools, supported OS, and potential extension (i.e., plugins). A ranking of software tools for 3D modeling of MRI medical images, according to the set of predefined criteria, was given. This ranking allowed us to elaborate guidelines for the choice of software tools for pelvic surgical planning in pediatric patients. The best-ranked software tools were Myrian Studio, ITK-SNAP, and 3D Slicer, the latter being especially appropriate if nerve fibers should be included in the 3D patient model. To conclude, this study proposed a comprehensive review of software tools for 3D modeling of the pelvis according to a set of eight criteria and delivered specific conclusions for pediatric and adolescent patients that can be directly applied to clinical practice.

Entities:  

Keywords:  3D modeling; MRI; Pelvic surgery; Segmentation software

Mesh:

Year:  2020        PMID: 31236743      PMCID: PMC7064712          DOI: 10.1007/s10278-019-00239-7

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  13 in total

1.  3D printing based on imaging data: review of medical applications.

Authors:  F Rengier; A Mehndiratta; H von Tengg-Kobligk; C M Zechmann; R Unterhinninghofen; H-U Kauczor; F L Giesel
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-05-15       Impact factor: 2.924

2.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

3.  A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging.

Authors:  Daniel Haak; Charles-E Page; Thomas M Deserno
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

Review 4.  Image-guided surgery.

Authors:  Dan E Azagury; Monica M Dua; James C Barrese; Jaimie M Henderson; Nicolas C Buchs; Frederic Ris; Jordan M Cloyd; John B Martinie; Sharif Razzaque; Stéphane Nicolau; Luc Soler; Jacques Marescaux; Brendan C Visser
Journal:  Curr Probl Surg       Date:  2015-10-22       Impact factor: 1.909

Review 5.  Diffusion tensor MR imaging and fiber tractography: theoretic underpinnings.

Authors:  P Mukherjee; J I Berman; S W Chung; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

6.  Assessment of DICOM Viewers Capable of Loading Patient-specific 3D Models Obtained by Different Segmentation Platforms in the Operating Room.

Authors:  Giuseppe Lo Presti; Marina Carbone; Damiano Ciriaci; Daniele Aramini; Mauro Ferrari; Vincenzo Ferrari
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

7.  NIH Image to ImageJ: 25 years of image analysis.

Authors:  Caroline A Schneider; Wayne S Rasband; Kevin W Eliceiri
Journal:  Nat Methods       Date:  2012-07       Impact factor: 28.547

Review 8.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

Review 9.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

10.  Value of multidetector computed tomography image segmentation for preoperative planning in general surgery.

Authors:  Vincenzo Ferrari; Marina Carbone; Carla Cappelli; Luigi Boni; Franca Melfi; Mauro Ferrari; Franco Mosca; Andrea Pietrabissa
Journal:  Surg Endosc       Date:  2011-09-23       Impact factor: 4.584

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  4 in total

Review 1.  A systematic review of the clinical value and applications of three-dimensional virtual reconstructions in renal tumors.

Authors:  Claudia-Gabriela Moldovanu; Andrei Lebovici; Mircea Marian Buruian
Journal:  Med Pharm Rep       Date:  2022-01-31

Review 2.  3D surgical planning of pediatric tumors: a review.

Authors:  Helena Rico Pereira; Mojtaba Barzegar; Osama Hamadelseed; Arnau Valls Esteve; Josep Munuera
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-01-18       Impact factor: 2.924

3.  Comparison of Three 3D Segmentation Software Tools for Hip Surgical Planning.

Authors:  Marco Mandolini; Agnese Brunzini; Giulia Facco; Alida Mazzoli; Archimede Forcellese; Antonio Gigante
Journal:  Sensors (Basel)       Date:  2022-07-13       Impact factor: 3.847

4.  Modelling and fabrication procedure for a 3D printed cardiac model - surgical planning of Left Ventricular Aneurysm.

Authors:  Francesco Buonamici; Elisa Mussi; Chiara Santarelli; Nazario Carrabba; Pierluigi Stefano; Niccolò Marchionni; Monica Carfagni
Journal:  MethodsX       Date:  2022-08-14
  4 in total

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