October, 2016

Improving Spleen Volume Estimation via Computer Assisted Segmentation on Clinically Acquired CT Scans

Oct. 31, 2016—Zhoubing Xu, Adam L. Gertz, Ryan P. Burke, Neil K. Bansal, Hakmook Kang, Bennett A. Landman, Richard G. Abramson. Improving Spleen Volume Estimation via Computer Assisted Segmentation on Clinically Acquired CT Scans. Acad Radiol. 2016 Oct;23(10):1214-20. PMC5026951 Full text: https://www.ncbi.nlm.nih.gov/pubmed/27519156 Abstract Objectives: Multi-atlas fusion is a promising approach for computer-assisted segmentation of anatomic structures. The...

Qualitative results comparing multi-atlas segmentation methods with semi-manual segmentation. The red contours represent the spatial location of the semi-manual segmentation. The white color indicates the negative error, in which the estimated segmentation is smaller than the semi-manual reference. The green and purple color outside the red contours indicates the positive error, in which the estimated segmentation is larger than reference.

Simultaneous total intracranial volume and posterior fossa volume estimation using multi‐atlas label fusion

Oct. 31, 2016—Yuankai Huo, Andrew J. Asman, Andrew J. Plassard, Bennett A. Landman. “Simultaneous total intracranial volume and posterior fossa volume estimation using multi‐atlas label fusion.” Human Brain Mapping. In Press October 2016 Full text: https://www.ncbi.nlm.nih.gov/pubmed/27726243 Abstract Total intracranial volume (TICV) is an essential covariate in brain volumetric analyses. The prevalent brain imaging software packages provide automatic TICV estimates. FreeSurfer and FSL estimate TICV using a scaling factor while SPM12 accumulates probabilities of...

The large-scale cross-sectional framework on 5111 multi-site MR 3D images.

Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI

Oct. 30, 2016—Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman. “Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI”. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016. Oral Presentation. Full text: NIHMSID 826509 Abstract Understanding brain volumetry is essential to understand neurodevelopment...