December, 2017
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction
Dec. 28, 2017—Ilwoo Lyu, Sun Hyung Kim, Neil D. Woodward, Martin A. Styner and Bennett A. Landman. “TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction “. IEEE Transactions on Medical Imaging 37(7), pp. 1653-1663, 2018. [Full text][Code][Docker] Abstract A proper geometric representation of the cortical regions is a fundamental task for cortical shape analysis and...
Learning Implicit Brain MRI Manifolds with Deep Learning
Dec. 22, 2017—Bermudez, C., Plassard, A.J., Davis, T.L., Newton, A.T., Resnick, S.M., and Landman, B.A. (2017) “Learning implicit brain MRI manifolds with deep learning.” arXiv preprint arXiv:1801.01847 Full Text: https://arxiv.org/pdf/1801.01847.pdf Abstract An important task in image processing and neuroimaging is to extract quantitative information from the acquired images in order to make observations about the presence of disease...
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation
Dec. 19, 2017—Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman. “Improved Stability of Whole Brain Surface Parcellation with Multi-atlas Segmentation.” SPIE 2018 Full text: https://arxiv.org/abs/1712.00543 Abstract Whole brain segmentation and cortical surface parcellation are essential in understanding the brain’s anatomical-functional relationships. Multi-atlas segmentation has been regarded as one of the leading segmentation methods for the whole...
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Dec. 19, 2017—Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.” SPIE 2018 Full text: https://arxiv.org/abs/1712.00542 Abstract Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally...
SHARD: Spherical Harmonic-based Robust Outlier Detection for HARDI Methods
Dec. 19, 2017—Citation: ” SHARD: Spherical Harmonic-based Robust Outlier Detection for HARDI Methods”. Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman In SPIE Medical Imaging, International Society for Optics and Photonics, 2018 (Accepted) Abstract: High Angular...
Constructing Statistically Unbiased Cortical Surface Templates Using Feature Space Covariance
Dec. 19, 2017—Citation: ” Constructing statistically unbiased cortical surface templates using feature-space covariance”. Prasanna Parvathaneni, Ilwoo Lyu, Justin A. Blaber, Yuankai Huo, Allison E. Hainline, Neil D. Woodward, Hakmook Kang, Bennett A. Landman In SPIE Medical Imaging, International Society for Optics and Photonics, 2018 (Accepted). Abstract The choice of surface template plays an important role in cross-sectional subject analyses...
Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones
Dec. 18, 2017—Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett Landman, and Smita De. “Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.” In Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, pp. 99-107. Springer, Cham, 2017. Full text: https://link.springer.com/chapter/10.1007/978-3-319-67543-5_9 Abstract Nephrolithiasis is a costly and prevalent disease that is associated...
Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation
Dec. 18, 2017—Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation.” IEEE Transactions on Biomedical Engineering (2017). Full text: onlinelibrary.wiley.com/doi/10.1002/hbm.23432/full Abstract Objective: Magnetic resonance imaging (MRI) is an essential imaging modality in non-invasive splenomegaly diagnosis. However, it is...
Opportunities for Mining Radiology Archives for Pediatric Control Images
Dec. 17, 2017—Bermudez, C., Probst, V. N., Davis, L. T., Lasko, T., & Landman, B. A. (2017). Opportunities for Mining Radiology Archives for Pediatric Control Images. arXiv preprint arXiv:1712.02728. Full Text: https://arxiv.org/ftp/arxiv/papers/1712/1712.02728.pdf Abstract A large database of brain imaging data from healthy, normal controls is useful to describe physiologic and pathologic structural changes at a population scale....
Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups
Dec. 11, 2017—Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, and Bennett A. Landman. “Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups”. SPIE Medical Imaging 2018. Abstract Sulcal depth is an important marker of brain anatomy in neuroscience/neurological function. Previously, sulcal depth has been explored at the region-of-interest (ROI) level to increase statistical sensitivity...