Multi-atlas Segmentation Category
Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe
Aug. 28, 2021—Plassard, Andrew J., Shunxing Bao*, Maureen McHugo, Lori Beason-Held, Jennifer U. Blackford, Stephan Heckers, and Bennett A. Landman. “Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe.” Magnetic Resonance Imaging 81 (2021): 17-23. Full text: https://www.sciencedirect.com/science/article/abs/pii/S0730725X21000692 Abstract Examining volumetric differences of the amygdala and anterior-posterior regions of the...
Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods
Dec. 6, 2019—Noguera, C. B., Bao, S., Petersen, K. J., Lopez, A. M., Reid, J., Plassard, A. J., … & Landman, B. A. (2019). Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods. Journal of Medical Imaging, 6(4), 044007. Full Text: https://www.ncbi.nlm.nih.gov/pubmed/31824980 Abstract The dentate nucleus (DN) is a...
Accurate Age Estimation in a Pediatric Population Using Deep Learning on T1‐weighted MRI Structural Features
May. 15, 2017—Citation: Bermudez, C. et.al. Accurate Age Estimation in a Pediatric Population Using Deep Learning on T1‐weighted MRI Structural Features. Frontiers in Biomedical Imaging Science VI. May 2017. Abstract. Abstrract It is well known that there are structural changes that occur in the brain with age. However, there are insufficient imaging biomarkers that reliably describe structural...
Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly
Nov. 1, 2016—Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract Multi-atlas segmentation has shown to be a promising approach for spleen...
Combining Multi-atlas Segmentation with Brain Surface Estimation
Mar. 1, 2016—Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman.2016 “Combining Multi-atlas Segmentation with Brain Surface Estimation,” In Proceedings of the SPIE Medical Imaging Conference 2016. Oral presentation. Full Text: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2506157 Pubmed Abstract Whole brain segmentation (with comprehensive cortical and subcortical labels) and cortical surface reconstruction are two essential...
Improving Cerebellar Segmentation with Statistical Fusion
Feb. 27, 2016—Andrew J. Plassard, Zhen Yang, Swati D. Rane, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman. “Improving Cerebellar Segmentation with Statistical Fusion. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Improving+Cerebellar+Segmentation+with+Statistical+Fusion Abstract The cerebellum is a somatotopically organized central component of the central nervous system well known...
Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level Set
Feb. 1, 2016—Zhoubing Xu, Rebeccah B. Baucom, Richard G. Abramson, Benjamin K. Poulose, Bennett A. Landman, “Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level Set”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Oral presentation. Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845968/ Abstract The abdominal wall is an...
Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation
Oct. 4, 2015—Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman. “Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation”, MICCAI MAPPING Workshop, Munich, Germany, October 2015. Full text: https://www.researchgate.net/publication/303483865_Data-driven_Probabilistic_Atlases_Capture_Whole-brain_Individual_Variation Abstract
Efficient Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning
Feb. 12, 2015—Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman. “Efficient Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. † Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405802/ Abstract Abdominal segmentation on clinically acquired computed tomography...
Evaluation of Atlas-Based White Matter Segmentation with Eve
Feb. 12, 2015—Andrew J. Plassard, Kendra E. Hinton, Christopher Gonzalez, Vijay Venkatraman, Susan M. Resnick, Bennett A. Landman. “Evaluation of Atlas-Based White Matter Segmentation with Eve” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. † Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405655/ Abstract Multi-atlas labeling has come in wide spread use for whole brain labeling on magnetic...