Abstract

The aim of this sub-proposal is twofold: to develop HPC implementations of proven segmentation, registration and visualization techniques; to develop new image acquisition, segmentation, registration and visualization capabilities using HPC as an enabling technology. High Performance Computing will be used in the NAC to drive rapid and/or interactive analysis of large image based data-sets. Specifically: 1. We will apply the utility of parallel algorithms and make use of dedicated supercomputing hardware (MPP, SMP and cluster machines) to design and develop a number of applications which are now in routine clinical use. 2. We will utilize recent hardware and software technology developments which have made HPC much less expensive and easier to apply to medical image analysis problem. We will exploit these technology improvements by developing symmetric multi-processor and cluster optimized applications for image acquisition, segmentation, registration and visualization. These implementations will achieve high performance, be highly portable and easy to disseminate.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR013218-02
Application #
6206644
Study Section
Project Start
1999-08-01
Project End
2000-07-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
2
Fiscal Year
1999
Total Cost
Indirect Cost

  Institution

Name
Brigham and Women's Hospital
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Saito, Yukiko; Kubicki, Marek; Koerte, Inga et al. (2018) Impaired white matter connectivity between regions containing mirror neurons, and relationship to negative symptoms and social cognition, in patients with first-episode schizophrenia. Brain Imaging Behav 12:229-237
Gallardo, Guillermo; Wells 3rd, William; Deriche, Rachid et al. (2018) Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. Neuroimage 170:307-320
Niethammer, Marc; Pohl, Kilian M; Janoos, Firdaus et al. (2017) ACTIVE MEAN FIELDS FOR PROBABILISTIC IMAGE SEGMENTATION: CONNECTIONS WITH CHAN-VESE AND RUDIN-OSHER-FATEMI MODELS. SIAM J Imaging Sci 10:1069-1103
Chen, Yongxin; Cruz, Filemon Dela; Sandhu, Romeil et al. (2017) Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover's Distance. Sci Rep 7:7035
Schabdach, Jenna; Wells 3rd, William M; Cho, Michael et al. (2017) A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. Inf Process Med Imaging 10265:170-183
Wachinger, Christian; Brennan, Matthew; Sharp, Greg C et al. (2017) Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans Biomed Eng 64:1492-1502
Chen, Yongxin; Georgiou, Tryphon; Pavon, Michele et al. (2017) Robust transport over networks. IEEE Trans Automat Contr 62:4675-4682
Ohtani, Toshiyuki; Nestor, Paul G; Bouix, Sylvain et al. (2017) Exploring the neural substrates of attentional control and human intelligence: Diffusion tensor imaging of prefrontal white matter tractography in healthy cognition. Neuroscience 341:52-60
Nilsson, Markus; Lasi?, Samo; Drobnjak, Ivana et al. (2017) Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion. NMR Biomed 30:
Ratner, Vadim; Gao, Yi; Lee, Hedok et al. (2017) Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. Neuroimage 152:530-537

Showing the most recent 10 out of 507 publications