TY - GEN
T1 - Brain structure in sagittal craniosynostosis
AU - Paniagua, Beatriz
AU - Kim, Sunghyung
AU - Moustapha, Mahmoud
AU - Styner, Martin
AU - Cody-Hazlett, Heather
AU - Gimple-Smith, Rachel
AU - Rumple, Ashley
AU - Piven, Joseph
AU - Gilmore, John
AU - Skolnick, Gary
AU - Patel, Kamlesh
N1 - Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - Craniosynostosis, the premature fusion of one or more cranial sutures, leads to grossly abnormal head shapes and pressure elevations within the brain caused by these deformities. To date, accepted treatments for craniosynostosis involve improving surgical skull shape aesthetics. However, the relationship between improved head shape and brain structure after surgery has not been yet established. Typically, clinical standard care involves the collection of diagnostic medical computed tomography (CT) imaging to evaluate the fused sutures and plan the surgical treatment. CT is known to provide very good reconstructions of the hard tissues in the skull but it fails to acquire good soft brain tissue contrast. This study intends to use magnetic resonance imaging to evaluate brain structure in a small dataset of sagittal craniosynostosis patients and thus quantify the effects of surgical intervention in overall brain structure. Very importantly, these effects are to be contrasted with normative shape, volume and brain structure databases. The work presented here wants to address gaps in clinical knowledge in craniosynostosis focusing on understanding the changes in brain volume and shape secondary to surgery, and compare those with normally developing children. This initial pilot study has the potential to add significant quality to the surgical care of a vulnerable patient population in whom we currently have limited understanding of brain developmental outcomes.
AB - Craniosynostosis, the premature fusion of one or more cranial sutures, leads to grossly abnormal head shapes and pressure elevations within the brain caused by these deformities. To date, accepted treatments for craniosynostosis involve improving surgical skull shape aesthetics. However, the relationship between improved head shape and brain structure after surgery has not been yet established. Typically, clinical standard care involves the collection of diagnostic medical computed tomography (CT) imaging to evaluate the fused sutures and plan the surgical treatment. CT is known to provide very good reconstructions of the hard tissues in the skull but it fails to acquire good soft brain tissue contrast. This study intends to use magnetic resonance imaging to evaluate brain structure in a small dataset of sagittal craniosynostosis patients and thus quantify the effects of surgical intervention in overall brain structure. Very importantly, these effects are to be contrasted with normative shape, volume and brain structure databases. The work presented here wants to address gaps in clinical knowledge in craniosynostosis focusing on understanding the changes in brain volume and shape secondary to surgery, and compare those with normally developing children. This initial pilot study has the potential to add significant quality to the surgical care of a vulnerable patient population in whom we currently have limited understanding of brain developmental outcomes.
KW - Brain Tissue segmentation
KW - Computer Assisted Intervention Planning
KW - Full vault reconstructive surgery
KW - Osteoarthritis
KW - Sagittal craniosynostosis
KW - Statistical Shape Analysis
UR - http://www.scopus.com/inward/record.url?scp=85020288229&partnerID=8YFLogxK
U2 - 10.1117/12.2254442
DO - 10.1117/12.2254442
M3 - Conference contribution
C2 - 29780195
AN - SCOPUS:85020288229
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2017
A2 - Gimi, Barjor
A2 - Krol, Andrzej
PB - SPIE
T2 - Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Y2 - 12 February 2017 through 14 February 2017
ER -