/A Statistical Quantification of Human Brain Asymmetry

A Statistical Quantification of Human Brain Asymmetry

Portrait of A Statistical Quantification of Human Brain Asymmetry
Head: Yanxi Liu
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Last Project Publication Year: 2007

Existing “content-based” image retrieval systems depend on general visual properties such as color and texture to classify diverse, two-dimensional (2D) images. These general visual cues, however, often fail to be effective discriminators for image sets taken within a single domain, where images have subtle, domain-specific differences. Furthermore, these visual properties are not necessarily the true content of an image, nor do they have a proven correspondence to image semantics, i.e. the meaning of an image. Databases composed of (3D volumetric or 2D) images and their collateral information in a particular medical domain form simple, semantically well-defined training sets, where the semantics of each image is the pathology indicated by that image (for example, normal, hemorrhage, stroke or tumor in neuroimages, or normal v. cancer in microscopic images). The goal of our research is to


  1. construct creative statistical image features such that the image semantics are captured with high probabilities;
  2. select the most discriminative (across different pathology classes) feature subset from all possible potential indexing features computed from a multimedia, multi-dimensional database;
  3. use the most discriminative feature-subset as the front-end index to find (for image classification or retrieval) medically similar cases in a large image database to aid diagnosis, surgical planning, patient treatment, outcome evaluation and medical education.

Our approach is a principled method firmly rooted in Bayes decision theory. Techniques in memory-based learning, feature selection and statistical regression are adopted in our system to achieve classification-driven, semantic based image analysis, indexing and retrieval.

Displaying 15 Publications
Discovery of “Biomarkers” for Alzheimer’s Disease Prediction from Structural MR Images
Yanxi Liu, Leonid Teverovskiy, Oscar Lopez, Howard Aizenstein, Carolyn Meltzer and Jim Becker

Conference Paper, 2007 IEEE International Symposium on Biomedical Imaging, April, 2007
Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration
Leonid Teverovskiy and Yanxi Liu

Conference Paper, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006, pp. 860 - 863, April, 2006
Learning-based Neuroimage Registration
Leonid Teverovskiy and Yanxi Liu

Tech. Report, CMU-RI-TR-04-59, Robotics Institute, Carnegie Mellon University, October, 2004
Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration
Leonid Teverovskiy and Yanxi Liu

Tech. Report, CMU-RI-TR-04-21, Robotics Institute, Carnegie Mellon University, March, 2004
Semantic based Biomedical Image Indexing and Retrieval
Yanxi Liu, Nicole Lazar, W.E. Rothfus, Frank Dellaert, Andrew Moore, Jeff Schneider and Takeo Kanade

Book Section/Chapter, Carnegie Mellon University, Trends and Advances in Content-Based Image and Video Retrieval, February, 2004
Semantic-based Biomedical Image Indexing and Retrieval
Yanxi Liu, Nicole Lazar and W. Rothfus

Conference Paper, International Conference on Diagnostic Imaging and Analysis (ICDIA 2002), August, 2002
Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures
Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew Moore, Jeff Schneider and Takeo Kanade

Conference Paper, Proceedings of the 2001 Medical Imaging Computing and Computer Assisted Intervention Conference (MICCAI '01), October, 2001
Robust Midsagittal Plane Extraction from Normal and Pathological 3D Neuroradiology Images
Yanxi Liu, Robert Collins and William E. Rothfus

Journal Article, Carnegie Mellon University, IEEE Transactions on Medical Imaging, Vol. 20, No. 3, pp. 175 - 192, March, 2001
A Classification Based Similarity Metric for 3D Image Retrieval
Yanxi Liu and Frank Dellaert

Conference Paper, CVPR'98, pp. 800 - 805, June, 1998
Automatic Bilateral Symmetry (Midsagittal) Plane Extraction from Pathological 3D Neuroradiological Images
Yanxi Liu, Robert Collins and William E. Rothfus

Conference Paper, SPIE International Symposium on Medical Imaging, February, 1998
Classification Driven Medical Image Retrieval
Yanxi Liu and Frank Dellaert

Conference Paper, Proc. of the Image Understanding Workshop, January, 1998
Classification Driven Semantic Based Medical Image Indexing and Retrieval
Yanxi Liu, Frank Dellaert and William E. Rothfus

Tech. Report, CMU-RI-TR-98-25, Robotics Institute, Carnegie Mellon University, January, 1998
Content based 3D Neuroradiologic Image Indexing and Retrieval: Preliminary Results
Yanxi Liu, William E. Rothfus and Takeo Kanade

Tech. Report, CMU-RI-TR-98-04, Robotics Institute, Carnegie Mellon University, January, 1998
Content-based 3D Neuroradiologic Image Retrieval: Preliminary Results
Yanxi Liu, William E. Rothfus (M.D.) and Takeo Kanade

Conference Paper, IEEE International Workshop on Content-based Access of Image and Video Databases, pp. 91 - 100, January, 1998
Automatic Extraction of the Central Symmetry Plane from Neuroradiology Images
Yanxi Liu and Robert Collins

Tech. Report, CMU-RI-TR-96-40, Robotics Institute, Carnegie Mellon University, December, 1996

Current RI People

Past Project People

  • Leonid Teverovskiy
  • Nicole Lazar
2017-09-13T10:50:17+00:00