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Erschienen in: Journal of Digital Imaging 1/2020

24.06.2019

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

verfasst von: Alessio Virzì, Cécile Olivia Muller, Jean-Baptiste Marret, Eva Mille, Laureline Berteloot, David Grévent, Nathalie Boddaert, Pietro Gori, Sabine Sarnacki, Isabelle Bloch

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 1/2020

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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.
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Values estimated from the manual segmentations.
 
Literatur
1.
Zurück zum Zitat Lo Presti G, Carbone M, Ciriaci D, Aramini D, Ferrari M, Ferrari V: Assessment of DICOM viewers capable of loading patient-specific 3D models obtained by different segmentation platforms in the operating room. J Digit Imaging 28(5):518–527, 2015CrossRef Lo Presti G, Carbone M, Ciriaci D, Aramini D, Ferrari M, Ferrari V: Assessment of DICOM viewers capable of loading patient-specific 3D models obtained by different segmentation platforms in the operating room. J Digit Imaging 28(5):518–527, 2015CrossRef
2.
Zurück zum Zitat Ferrari V, Carbone M, Cappelli C, Boni L, Melfi F, Ferrari M, Mosca F, Pietrabissa A: Value of multidetector computed tomography image segmentation for preoperative planning in general surgery. Surg Endosc 26(3):616–626, 2012CrossRef Ferrari V, Carbone M, Cappelli C, Boni L, Melfi F, Ferrari M, Mosca F, Pietrabissa A: Value of multidetector computed tomography image segmentation for preoperative planning in general surgery. Surg Endosc 26(3):616–626, 2012CrossRef
3.
Zurück zum Zitat Azagury DE, Dua MM, Barrese JC, Henderson JM, Buchs NC, Ris F, Cloyd JM, Martinie JB, Razzaque S, Nicolau S, Soler L, Marescaux J, Visser BC: Image-guided surgery. Curr Probl Surg 52(12):476–520, 2015CrossRef Azagury DE, Dua MM, Barrese JC, Henderson JM, Buchs NC, Ris F, Cloyd JM, Martinie JB, Razzaque S, Nicolau S, Soler L, Marescaux J, Visser BC: Image-guided surgery. Curr Probl Surg 52(12):476–520, 2015CrossRef
4.
Zurück zum Zitat Haak D, Page C-E, Deserno TM: A survey of DICOM viewer software to integrate clinical research and medical imaging. J Digit Imaging 29(2):206–215, 2016CrossRef Haak D, Page C-E, Deserno TM: A survey of DICOM viewer software to integrate clinical research and medical imaging. J Digit Imaging 29(2):206–215, 2016CrossRef
5.
Zurück zum Zitat Valeri G, Mazza FA, Maggi S, Aramini D, La Riccia L, Mazzoni G, Giovagnoni A: Open source software in a practical approach for post processing of radiologic images. Radiol Med 120(3):309–323, 2015CrossRef Valeri G, Mazza FA, Maggi S, Aramini D, La Riccia L, Mazzoni G, Giovagnoni A: Open source software in a practical approach for post processing of radiologic images. Radiol Med 120(3):309–323, 2015CrossRef
6.
Zurück zum Zitat Liao W, Deserno TM, Spitzer K: Evaluation of free non-diagnostic DICOM software tools. Proc SPIE 6919:691903, 2008CrossRef Liao W, Deserno TM, Spitzer K: Evaluation of free non-diagnostic DICOM software tools. Proc SPIE 6919:691903, 2008CrossRef
7.
Zurück zum Zitat Dice LR: Measures of the amount of ecologic association between species. Ecology 26(3):297–302, 1945CrossRef Dice LR: Measures of the amount of ecologic association between species. Ecology 26(3):297–302, 1945CrossRef
8.
Zurück zum Zitat Mukherjee P, Berman JI, Chung SW, Hess CP, Henry RG: Diffusion tensor MR imaging and fiber tractography: Theoretic underpinnings. Am J Neuroradiol 29(4):632–641, 2008CrossRef Mukherjee P, Berman JI, Chung SW, Hess CP, Henry RG: Diffusion tensor MR imaging and fiber tractography: Theoretic underpinnings. Am J Neuroradiol 29(4):632–641, 2008CrossRef
9.
Zurück zum Zitat Virzì A, Marret J-B, Muller CO, Berteloot L, Boddaert N, Sarnacki S, Bloch I (2017) A new method based on template registration and deformable models for pelvic bones semi-automatic segmentation in pediatric MRI. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 323–326. IEEE Virzì A, Marret J-B, Muller CO, Berteloot L, Boddaert N, Sarnacki S, Bloch I (2017) A new method based on template registration and deformable models for pelvic bones semi-automatic segmentation in pediatric MRI. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 323–326. IEEE
10.
Zurück zum Zitat Barfield W: Fundamentals of wearable computers and augmented reality. CRC Press, 2015 Barfield W: Fundamentals of wearable computers and augmented reality. CRC Press, 2015
11.
Zurück zum Zitat Rengier F, Mehndiratta A, von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor H-U, Giesel FL: 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg 5(4):335–341, Jul 2010CrossRef Rengier F, Mehndiratta A, von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor H-U, Giesel FL: 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg 5(4):335–341, Jul 2010CrossRef
12.
Zurück zum Zitat Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M et al.: 3D Slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–1341, 2012CrossRef Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M et al.: 3D Slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–1341, 2012CrossRef
13.
Zurück zum Zitat Rivière D, Geffroy D, Denghien I, Souedet N, Cointepas Y: Anatomist: A python framework for interactive 3D visualization of neuroimaging data. In: Python in neuroscience workshop, 2011 Rivière D, Geffroy D, Denghien I, Souedet N, Cointepas Y: Anatomist: A python framework for interactive 3D visualization of neuroimaging data. In: Python in neuroscience workshop, 2011
14.
Zurück zum Zitat Geffroy D, Rivière D, Denghien I, Souedet N, Laguitton S, Cointepas Y: Brainvisa: A complete software platform for neuroimaging. In: Python in neuroscience workshop. Paris: Euroscipy, 2011 Geffroy D, Rivière D, Denghien I, Souedet N, Laguitton S, Cointepas Y: Brainvisa: A complete software platform for neuroimaging. In: Python in neuroscience workshop. Paris: Euroscipy, 2011
15.
Zurück zum Zitat Fischl B: FreeSurfer. NeuroImage 62(2):774–781, 2012 20 Years of fMRICrossRef Fischl B: FreeSurfer. NeuroImage 62(2):774–781, 2012 20 Years of fMRICrossRef
16.
Zurück zum Zitat Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM: FSL. NeuroImage 62(2):782–790, 2012 20 Years of fMRICrossRef Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM: FSL. NeuroImage 62(2):782–790, 2012 20 Years of fMRICrossRef
17.
Zurück zum Zitat Schneider CA, Rasband WS, Eliceiri KW: NIH image to ImageJ: 25 years of image analysis. Nat Methods 9(7):671–675, 2012CrossRef Schneider CA, Rasband WS, Eliceiri KW: NIH image to ImageJ: 25 years of image analysis. Nat Methods 9(7):671–675, 2012CrossRef
18.
Zurück zum Zitat Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage 31(3):1116–1128, 2006CrossRef Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage 31(3):1116–1128, 2006CrossRef
19.
Zurück zum Zitat Toussaint N, Souplet J-C, Fillard P et al.: MedINRIA: Medical image navigation and research tool by INRIA. In: MICCAI, volume 7, page 280, 2007 Toussaint N, Souplet J-C, Fillard P et al.: MedINRIA: Medical image navigation and research tool by INRIA. In: MICCAI, volume 7, page 280, 2007
20.
Zurück zum Zitat McAuliffe MJ, Lalonde FM, McGarry D, Gandler W, Csaky K, Trus BL: Medical image processing, analysis and visualization in clinical research. In: 14th IEEE Symposium on Computer-Based Medical Systems (CBMS), 2001, pp. 381–386 McAuliffe MJ, Lalonde FM, McGarry D, Gandler W, Csaky K, Trus BL: Medical image processing, analysis and visualization in clinical research. In: 14th IEEE Symposium on Computer-Based Medical Systems (CBMS), 2001, pp. 381–386
21.
Zurück zum Zitat Rosset A, Spadola L, Ratib O: OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 17(3):205{216, 2004CrossRef Rosset A, Spadola L, Ratib O: OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 17(3):205{216, 2004CrossRef
22.
Zurück zum Zitat CIBC: Seg3D: Volumetric image segmentation and visualization. Scientific Computing and Imaging Institute (SCI), 2016, Downloaded from: http://www.seg3d.org CIBC: Seg3D: Volumetric image segmentation and visualization. Scientific Computing and Imaging Institute (SCI), 2016, Downloaded from: http://​www.​seg3d.​org
Metadaten
Titel
Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning
verfasst von
Alessio Virzì
Cécile Olivia Muller
Jean-Baptiste Marret
Eva Mille
Laureline Berteloot
David Grévent
Nathalie Boddaert
Pietro Gori
Sabine Sarnacki
Isabelle Bloch
Publikationsdatum
24.06.2019
Verlag
Springer International Publishing
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 1/2020
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-019-00239-7

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