Towards Automatic Quantitative Quality Control for MRI
Feb. 1, 2012—C. Lauzon, B. Caffo, and B. Landman. “Towards Automatic Quantitative Quality Control for MRI.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) Full text: https://www.ncbi.nlm.nih.gov/pubmed/23087586 Abstract Quality and consistency of clinical and research data collected from Magnetic Resonance Imaging (MRI) scanners may become suspect due to a wide variety...
Automating PACS Quality Control with the Vanderbilt Image Processing Enterprise Resource
Feb. 1, 2012—M. L. Esparza, E. B. Welch and B. A. Landman. “Automating PACS Quality Control with the Vanderbilt Image Processing Enterprise Resource.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) Full text: https://www.ncbi.nlm.nih.gov/pubmed/24357910 Abstract Precise image acquisition is an integral part of modern patient care and medical imaging research. Periodic...
Collaborative Labeling of Malignant Glioma with WebMILL: A First Look
Feb. 1, 2012—E. Singh, Z. Xu, A. Asman, L. Chambless, R. Thompson and B. Landman. “Collaborative Labeling of Malignant Glioma with WebMILL: A First Look.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 † Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Collaborative+Labeling+of+Malignant+Glioma+with+WebMILL%3A+A+First+Look Abstract Malignant gliomas are the most common form of primary neoplasm in the central nervous...
A Comparison of Distributional Considerations with Statistical Analysis of Resting State fMRI at 3T and 7T
Feb. 1, 2012—Xue Yang, Martha J. Holmes, Allen T. Newton, Victoria L. Morgan, Bennett A. Landman. “A Comparison of Distributional Considerations with Statistical Analysis of Resting State fMRI at 3T and 7T.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) NIHMS341654† Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=A+Comparison+of+Distributional+Considerations+with+Statistical+Analysis+of+Resting+State+fMRI+at+3T+and+7T Abstract Ultra-high field 7T magnetic resonance...
A Surgeon Specific Automatic Path Planning Algorithm for Deep Brain Stimulation
Feb. 1, 2012—Yuan Liu, Benoit M. Dawant, Srivatsan Pallavaram, Joseph S. Neimat, Pierre-François D’Haese, Ryan D. Datteri, Bennett A. Landman and Jack H. Noble. “A Surgeon Specific Automatic Path Planning Algorithm for Deep Brain Stimulation.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) † Full Text: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1285627 Abstract In deep brain...
Generalized Statistical Label Fusion using Multiple Consensus Levels
Feb. 1, 2012—Z. Xu, A. Asman and B. Landman. “Generalized Statistical Label Fusion using Multiple Consensus Levels.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) PMC3438516† Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=%E2%80%9CGeneralized+Statistical+Label+Fusion+using+Multiple+Consensus+Levels. Abstract Segmentation plays a critical role in exposing connections between biological structure and function. The process of label fusion collects and...
Simultaneous Segmentation and Statistical Label Fusion.
Feb. 1, 2012—A. Asman and B. Landman. “Simultaneous Segmentation and Statistical Label Fusion.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) † Full Text: https://www.ncbi.nlm.nih.gov/pubmed/24357909 Abstract Labeling or segmentation of structures of interest in medical imaging plays an essential role in both clinical and scientific understanding. Two of the common...
Foibles, Follies, and Fusion: Web-Based Collaboration for Medical Image Labeling
Jan. 31, 2012—Bennett A Landman, Andrew J Asman, Andrew G Scoggins, John A Bogovic, Joshua A Stein; Jerry L Prince, “Foibles, Follies, and Fusion: Web-Based Collaboration for Medical Image Labeling”, NeuroImage. 2012 Jan 2;59(1):530-9. PMC3195954 † Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3195954/ Abstract Labels that identify specific anatomical and functional structures within medical images are essential to the characterization of...
Robust Statistical Label Fusion through Consensus Level, Labeler Accuracy and Truth Estimation (COLLATE)
Oct. 31, 2011—Andrew J. Asman and Bennett A. Landman. “Robust Statistical Label Fusion through Consensus Level, Labeler Accuracy and Truth Estimation (COLLATE)”, IEEE Transactions on Medical Imaging. 2011 October; 30(10): 1779–1794. PMC3150602 † Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3150602/ Abstract Segmentation and delineation of structures of interest in medical images is paramount to quantifying and characterizing structural, morphological, and functional...
Assessment of bias for MRI diffusion tensor imaging using SIMEX
Sep. 30, 2011—Carolyn B. Lauzon, Andrew Asman, Ciprian Crainiceanu, Brian Caffo, Bennett A. Landman. “Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX”, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September 2011 (30% acceptance rate) NIHMS ID 301343 Full text: https://www.ncbi.nlm.nih.gov/pubmed/21995019 Abstract Diffusion Tensor Imaging (DTI) is a Magnetic Resonance...