Abstract

The field of image processing has produced a wide variety of tools for manipulating 3D medical images (volumes) and for extracting meaningful information. Typically low-level image processing tools feed high-level, application-specific analyses, such as segmentation, registration and shape analysis. However, the analysis of brain images, places unique demands on the low-level image processing that underlies these algorithms. New image modalities, application specific image features, and large amounts of 3D data place new demands on the image processing that is necessary for this project. This proposal addresses these specialized demands by focusing on fast methods for extracting feature information from DTI data.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54EB005149-05
Application #
7669310
Study Section
Special Emphasis Panel (ZRG1)
Project Start
2008-08-01
Project End
2010-07-31
Budget Start
2008-08-01
Budget End
2010-07-31
Support Year
5
Fiscal Year
2008
Total Cost
$170,606
Indirect Cost

  Institution

Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Ghayoor, Ali; Vaidya, Jatin G; Johnson, Hans J (2018) Robust automated constellation-based landmark detection in human brain imaging. Neuroimage 170:471-481
Wachinger, Christian; Toews, Matthew; Langs, Georg et al. (2018) Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans Med Imaging :
Lyu, Ilwoo; Perdomo, Jonathan; Yapuncich, Gabriel S et al. (2018) Group-wise Shape Correspondence of Variable and Complex Objects. Proc SPIE Int Soc Opt Eng 10574:
Hong, Sungmin; Fishbaugh, James; Gerig, Guido (2018) 4D CONTINUOUS MEDIAL REPRESENTATION BY GEODESIC SHAPE REGRESSION. Proc IEEE Int Symp Biomed Imaging 2018:1014-1017
Swanson, Meghan R; Wolff, Jason J; Shen, Mark D et al. (2018) Development of White Matter Circuitry in Infants With Fragile X Syndrome. JAMA Psychiatry 75:505-513
Swanson, Meghan R; Shen, Mark D; Wolff, Jason J et al. (2018) Naturalistic Language Recordings Reveal ""Hypervocal"" Infants at High Familial Risk for Autism. Child Dev 89:e60-e73
Irimia, Andrei; Goh, Sheng-Yang Matthew; Wade, Adam C et al. (2017) Traumatic Brain Injury Severity, Neuropathophysiology, and Clinical Outcome: Insights from Multimodal Neuroimaging. Front Neurol 8:530
Rutherford, Helena J V; Maupin, Angela N; Landi, Nicole et al. (2017) Parental reflective functioning and the neural correlates of processing infant affective cues. Soc Neurosci 12:519-529
Xia, K; Zhang, J; Ahn, M et al. (2017) Genome-wide association analysis identifies common variants influencing infant brain volumes. Transl Psychiatry 7:e1188
Fishbaugh, James; Durrleman, Stanley; Prastawa, Marcel et al. (2017) Geodesic shape regression with multiple geometries and sparse parameters. Med Image Anal 39:1-17

Showing the most recent 10 out of 668 publications