Literature DB >> 24465118

3D of Brain Shape and Volume After Cranial Vault Remodeling Surgery for Craniosynostosis Correction in Infants.

Beatriz Paniagua1, Omri Emodi2, Jonathan Hill2, James Fishbaugh3, Luiz A Pimenta4, Stephen R Aylward5, Enquobahrie Andinet5, Guido Gerig3, John Gilmore1, John A van Aalst2, Martin Styner1.   

Abstract

The skull of young children is made up of bony plates that enable growth. Craniosynostosis is a birth defect that causes one or more sutures on an infant's skull to close prematurely. Corrective surgery focuses on cranial and orbital rim shaping to return the skull to a more normal shape. Functional problems caused by craniosynostosis such as speech and motor delay can improve after surgical correction, but a post-surgical analysis of brain development in comparison with age-matched healthy controls is necessary to assess surgical outcome. Full brain segmentations obtained from pre- and post-operative computed tomography (CT) scans of 8 patients with single suture sagittal (n=5) and metopic (n=3), non-syndromic craniosynostosis from 41 to 452 days-of-age were included in this study. Age-matched controls obtained via 4D acceleration-based regression of a cohort of 402 full brain segmentations from healthy controls magnetic resonance images (MRI) were also used for comparison (ages 38 to 825 days). 3D point-based models of patient and control cohorts were obtained using SPHARM-PDM shape analysis tool. From a full dataset of regressed shapes, 240 healthy regressed shapes between 30 and 588 days-of-age (time step = 2.34 days) were selected. Volumes and shape metrics were obtained for craniosynostosis and healthy age-matched subjects. Volumes and shape metrics in single suture craniosynostosis patients were larger than age-matched controls for pre- and post-surgery. The use of 3D shape and volumetric measurements show that brain growth is not normal in patients with single suture craniosynostosis.

Entities:  

Keywords:  Pediatric neuroimaging; plastic Surgery; shape analysis; shape regression; volumetric analysis

Year:  2013        PMID: 24465118      PMCID: PMC3898845          DOI: 10.1117/12.2006524

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  7 in total

1.  A functional approach to craniology.

Authors:  M L Moss; R W Young
Journal:  Am J Phys Anthropol       Date:  1960-12       Impact factor: 2.868

2.  Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM.

Authors:  Martin Styner; Ipek Oguz; Shun Xu; Christian Brechbühler; Dimitrios Pantazis; James J Levitt; Martha E Shenton; Guido Gerig
Journal:  Insight J       Date:  2006

3.  Estimation of smooth growth trajectories with controlled acceleration from time series shape data.

Authors:  James Fishbaugh; Stanley Durrleman; Guido Gerig
Journal:  Med Image Comput Comput Assist Interv       Date:  2011

4.  An epidemiological study of nonsyndromal craniosynostoses.

Authors:  John C Kolar
Journal:  J Craniofac Surg       Date:  2011-01       Impact factor: 1.046

5.  A framework for longitudinal data analysis via shape regression.

Authors:  James Fishbaugh; Stanley Durrleman; Joseph Piven; Guido Gerig
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-02-23

6.  Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets.

Authors:  Stanley Durrleman; Xavier Pennec; Alain Trouvé; Guido Gerig; Nicholas Ayache
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

7.  History of craniosynostosis surgery and the evolution of minimally invasive endoscopic techniques: the University of Florida experience.

Authors:  Mark A Clayman; Gregory J Murad; Mathew H Steele; M Brent Seagle; David W Pincus
Journal:  Ann Plast Surg       Date:  2007-03       Impact factor: 1.539

  7 in total
  4 in total

1.  Intracranial Volume Quantification from 3D Photography.

Authors:  Liyun Tu; Antonio R Porras; Scott Ensel; Deki Tsering; Beatriz Paniagua; Andinet Enquobahrie; Albert Oh; Robert Keating; Gary F Rogers; Marius George Linguraru
Journal:  Comput Assist Robot Endosc Clin Image Based Proced (2017)       Date:  2017-09-08

2.  Brain structure in sagittal craniosynostosis.

Authors:  Beatriz Paniagua; Sunghyung Kim; Mahmoud Moustapha; Martin Styner; Heather Cody-Hazlett; Rachel Gimple-Smith; Ashley Rumple; Joseph Piven; John Gilmore; Gary Skolnick; Kamlesh Patel
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-13

3.  Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement.

Authors:  Antonio R Porras; Beatriz Paniagua; Scott Ensel; Robert Keating; Gary F Rogers; Andinet Enquobahrie; Marius George Linguraru
Journal:  IEEE Trans Med Imaging       Date:  2018-07       Impact factor: 10.048

4.  Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline.

Authors:  Jiahui Wang; Clement Vachet; Ashley Rumple; Sylvain Gouttard; Clémentine Ouziel; Emilie Perrot; Guangwei Du; Xuemei Huang; Guido Gerig; Martin Styner
Journal:  Front Neuroinform       Date:  2014-02-06       Impact factor: 3.739

  4 in total

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