Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease

Yaqiong Chai; Yi Lao; Yicen Li; Chaoran Ji; Sharon O'Neil; Yalin Wang; Natasha Lepore; John Wood

doi:10.1117/12.2257399

26 January 2017 Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease

Yaqiong Chai, Yi Lao, Yicen Li, Chaoran Ji, Sharon O'Neil, Yalin Wang, Natasha Lepore, John Wood

Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 101600A (2017) https://doi.org/10.1117/12.2257399
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina

Abstract

Sickle cell disease (SCD) is a genetic hematological disease in which the hemoglobin molecule in red blood cells is abnormal. It is closely associated with many symptoms, including pain, anemia, chest syndrome and neurocognitive impairment. One of the most debilitating symptoms is elevated risk for cerebro-vascular accidents. The corpus callosum (CC), as the largest and most prominent white matter (WM) structure in the brain, can reflect the chronic cerebrovascular damage resulting from silent strokes or infarctions in asymptomatic SCD patients. While a lot of studies have reported WM alterations in this cohort, little is known about the shape deformation of the CC. Here we perform the first surface morphometry analysis of the CC in SCD patients using four different shape metrics on T1-weighted magnetic resonance images. We detect regional surface morphological differences in the CC between 11 patients and 10 healthy control subjects. Differences are located in the genu, posterior midbody and splenium, potentially casting light on the anatomical substrates underlying neuropsychological test differences between the SCD and control groups.

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Yaqiong Chai, Yi Lao, Yicen Li, Chaoran Ji, Sharon O'Neil, Yalin Wang, Natasha Lepore, and John Wood "Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease ", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600A (26 January 2017); https://doi.org/10.1117/12.2257399

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KEYWORDS

Single crystal X-ray diffraction

Brain

Image segmentation

Image registration

Shape analysis

Statistical analysis

Blood

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