Literature DB >> 22225325

An anthropomorphic polyvinyl alcohol brain phantom based on Colin27 for use in multimodal imaging.

Sean Jy-Shyang Chen1, Pierre Hellier, Maud Marchal, Jean-Yves Gauvrit, Romain Carpentier, Xavier Morandi, D Louis Collins.   

Abstract

PURPOSE: In this paper, the method for the creation of an anatomically and mechanically realistic brain phantom from polyvinyl alcohol cryogel (PVA-C) is proposed for validation of image processing methods such as segmentation, reconstruction, registration, and denoising. PVA-C is material widely used in medical imaging phantoms because of its mechanical similarities to soft tissues.
METHODS: The phantom was cast in a mold designed using the left hemisphere of the Colin27 brain dataset [C. Holmes et al., "Enhancement of MR images using registration for signal averaging," J. Comput. Assist. Tomogr. 22(2), 324 (1998)]. Marker spheres and inflatable catheters were also implanted to enable good registration comparisons and to simulate tissue deformation, respectively.
RESULTS: The phantom contained deep sulci, a complete insular region, and an anatomically accurate left ventricle. It was found to provide good contrast in triple modality imaging, consisting of computed tomography, ultrasound, and magnetic resonance imaging. Multiple sets of multimodal data were acquired from this phantom.
CONCLUSIONS: The methods for building the anatomically accurate, multimodality phantom were described in this work. All multimodal data are made available freely to the image processing community (http://pvabrain.inria.fr). We believe the phantom images could allow for the validation and further aid in the development of novel medical image processing techniques.

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Year:  2012        PMID: 22225325     DOI: 10.1118/1.3673069

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging.

Authors:  Giulia Matrone; Alessandro Ramalli; Alessandro Stuart Savoia; Fabio Quaglia; Gloria Castellazzi; Patrizia Morbini; Marco Piastra
Journal:  J Vis Exp       Date:  2017-09-24       Impact factor: 1.355

Review 2.  Anthropomorphic brain phantoms for use in MRI systems: a systematic review.

Authors:  Noelle Crasto; Abirami Kirubarajan; Dafna Sussman
Journal:  MAGMA       Date:  2021-08-31       Impact factor: 2.310

Review 3.  3D Printed Organ Models for Surgical Applications.

Authors:  Kaiyan Qiu; Ghazaleh Haghiashtiani; Michael C McAlpine
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2018-03-28       Impact factor: 10.745

4.  Regional variations in stiffness in live mouse brain tissue determined by depth-controlled indentation mapping.

Authors:  Nelda Antonovaite; Steven V Beekmans; Elly M Hol; Wytse J Wadman; Davide Iannuzzi
Journal:  Sci Rep       Date:  2018-08-21       Impact factor: 4.379

5.  Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning.

Authors:  Eleanor C Mackle; Jonathan Shapey; Efthymios Maneas; Shakeel R Saeed; Robert Bradford; Sebastien Ourselin; Tom Vercauteren; Adrien E Desjardins
Journal:  J Vis Exp       Date:  2020-07-14       Impact factor: 1.355

6.  An open source, 3D printed preclinical MRI phantom for repeated measures of contrast agents and reference standards.

Authors:  B L Cox; K D Ludwig; E B Adamson; K W Eliceiri; S B Fain
Journal:  Biomed Phys Eng Express       Date:  2018-01-25

Review 7.  Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound.

Authors:  Valeria Filippou; Charalampos Tsoumpas
Journal:  Med Phys       Date:  2018-06-22       Impact factor: 4.071

Review 8.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

Authors:  Akifumi Hagiwara; Shohei Fujita; Yoshiharu Ohno; Shigeki Aoki
Journal:  Invest Radiol       Date:  2020-09       Impact factor: 10.065

  8 in total

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