DBP:Harvard:Collaboration:MIT

Back to Harvard DBP 1

Current Projects

• Brain Tissue Classification.
• Sub parcellation of brain structures.
• Participants
  • MIT: Kilian Pohl, Sandy Wells, Eric Grimson
  • PNL: Sylvain Bouix, Motoaki Nakamura, Min-Seong Koo, Martha Shenton.

Progress

• fall 2005:
  • first neuroimaging studies completed.
  • Engineering of a "single click" segmentation tool to facilitate user interaction.
• early 2005: Start of Neuroimaging study using the new brain tissue classification technique.
• Late 2004: Tuning and testing for a large data set.
• Early 2004: Robust Implementation of an Atlas Based segmentation algorithm in slicer.
• pre-NAMIC: Testing of EM segmentation code provided by Kilian Pohl.

References and Scientific Output

• DBP: Smaller Neocortical Gray Matter and Larger Sulcal CSF Volumes in

Neuroleptic-Naive Females with Schizotypal Personality Disorder. Min-Seong Koo, Chandlee C. Dickey, Martha E. Shenton, Na Young Ji, Sylvain Bouix, Kilian M. Pohl, James J. Levitt, Motoaki Nakamura, Robert W. McCarley. Submitted to Arch. Gen Psychiatry.

• DBP: Neocortical Gray Matter Volume in First Episode Schizophrenia and First Episode Affective Psychosis: A Cross-sectional and Longitudinal MRI Study. Motoaki Nakamura, Dean F. Salisbury, Yoshio Hirayasu, Sylvain Bouix, Kilian M. Pohl, Takeshi Yoshida, Min-Seong Koo, Martha E. Shenton, and Robert W. McCarley. In preparation for submission to Arch. Gen Psychiatry.
• Algorithm: On Evaluating Brain Tissue Classifiers. Sylvain Bouix, Marcos Martin-Fernandez, Lida Ungar, Motoaki Nakamura, Min-Seong Koo, Robert W. McCarley, Martha E. Shenton. Submitted to IEEE-TMI.
• Algorithm: Martin-Fernandez M, Bouix S, Ungar L, McCarley RW, Shenton ME. Two Methods for Validating Brain Tissue Classifiers. In MICCAI 2005, volume 3749 of Lecture Notes in Computer Science. Palm Springs, CA, USA: Springer-Verlag publishers, Editors: Duncan JS, Gerig, G, 2005; pp 515-522.
• Algorithm: Pohl KM, Fisher F, Levitt JJ, Shenton ME, Kikinis R, Grimson WEL, Wells WM. Image segmentation and analysis I: A unifying approach to registration, segmentation, and intensity correction. In MICCAI 2005, volume 3749 of Lecture Notes in Computer Science. Palm Springs, CA, USA: Springer Verlag Publisher, Editors Duncan JS, Gerig G, 2005; pp 310-318.
• Algorithm: Kilian M. Pohl , Sylvain Bouix, Ron Kikinis, W. Eric L. Grimson. Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework, 2004 IEEE International Symposium on Biomedical Imaging, Arlington VA., April 15-18, 2004, pp. 81 - 849.