|
231 | 231 |
|
232 | 232 | %___________________________________________________________________________
|
233 | 233 |
|
| 234 | +\ndproject{BrainVISA}{http://brainvisa.info}{brainvisa_logo.png}{.2}{-0.25em}{0em} |
| 235 | + |
| 236 | +BrainVISA is an open-source, modular and customizable software platform built |
| 237 | +to host heterogeneous tools dedicated to neuroimaging research. It aims at |
| 238 | +helping researchers in developing new neuroimaging tools, sharing data and |
| 239 | +distributing their software. |
| 240 | +\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc] |
| 241 | +%\item Written in pure Python |
| 242 | +\item Databasing capabilities |
| 243 | +\item Massive computation facilities using Soma-workflow |
| 244 | +\item Open environment, with many toolboxes |
| 245 | +\item Specialized toolboxes for T1 MRI processing, sulci ang gyri morphometry, |
| 246 | +diffusion imaging and fibers tracking, surfacic and structural analysis, |
| 247 | +3D histology\ldots |
| 248 | +\item Links with other software like SPM, FSL, FreeSurfer, or CIVET |
| 249 | +\end{itemize} |
| 250 | +\includegraphics[width=0.9\columnwidth]{../pics/brainvisa_screenshot.png} |
| 251 | +\ndcite{D. Geffroy, D. Rivière, I. Denghien, N. Souedet, |
| 252 | + S. Laguitton, and Y. Cointepas. BrainVISA: a complete software |
| 253 | + platform for neuroimaging. In Python in Neuroscience workshop, |
| 254 | + Paris, Aug. 2011.} |
| 255 | + |
| 256 | +%___________________________________________________________________________ |
| 257 | + |
| 258 | +\ndproject{DiPy}{http://nipy.org/dipy}{dipy-banner.png}{.5}{-0.25em}{-7.2em} |
| 259 | + |
| 260 | +Dipy is an international FOSS project for diffusion magnetic resonance |
| 261 | +imaging analysis. Dipy is multiplatform and will run under any |
| 262 | +standard operating system such as \emph{Windows}, \emph{Linux}, |
| 263 | +\emph{Mac OS X}. Some of our \textbf{state-of-the-art} applications |
| 264 | +are: |
| 265 | +\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc] |
| 266 | +\item Reconstruction algorithms e.g. GQI, DTI |
| 267 | +\item Tractography generation algorithms e.g. EuDX |
| 268 | +\item Intelligent downsampling of tracks |
| 269 | +\item Ultra fast tractography clustering |
| 270 | +\item Resampling datasets with anisotropic voxels to isotropic |
| 271 | +\item Visualizing multiple brains simultaneously |
| 272 | +\item Finding track correspondence between different brains |
| 273 | +\item Warping tractographies into another (e.g. MNI) space |
| 274 | +\item Support of various file formats e.g. Trackvis or NIfTI |
| 275 | +%\item Dealing with huge tractographies without memory restrictions |
| 276 | +%\item Playing with datasets interactively without storing |
| 277 | +\end{itemize} |
| 278 | + |
| 279 | +%___________________________________________________________________________ |
| 280 | + |
234 | 281 | \ndproject{NiPy}{http://nipy.org/nipy}{blank.png}{.2}{-1.25em}{0em}
|
235 | 282 |
|
236 | 283 | NIPY provides a rich suite of algorithms for pre-processing and
|
|
279 | 326 | Python. Front. Neuroinform. 5:13. doi: 10.3389/fninf.2011.00013}
|
280 | 327 |
|
281 | 328 |
|
282 |
| -%___________________________________________________________________________ |
283 |
| - |
284 |
| -\ndproject{DiPy}{http://nipy.org/dipy}{dipy-banner.png}{.5}{-0.25em}{-7.2em} |
285 |
| - |
286 |
| -Dipy is an international FOSS project for diffusion magnetic resonance |
287 |
| -imaging analysis. Dipy is multiplatform and will run under any |
288 |
| -standard operating system such as \emph{Windows}, \emph{Linux}, |
289 |
| -\emph{Mac OS X}. Some of our \textbf{state-of-the-art} applications |
290 |
| -are: |
291 |
| -\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc] |
292 |
| -\item Reconstruction algorithms e.g. GQI, DTI |
293 |
| -\item Tractography generation algorithms e.g. EuDX |
294 |
| -\item Intelligent downsampling of tracks |
295 |
| -\item Ultra fast tractography clustering |
296 |
| -\item Resampling datasets with anisotropic voxels to isotropic |
297 |
| -\item Visualizing multiple brains simultaneously |
298 |
| -\item Finding track correspondence between different brains |
299 |
| -\item Warping tractographies into another (e.g. MNI) space |
300 |
| -\item Support of various file formats e.g. Trackvis or NIfTI |
301 |
| -%\item Dealing with huge tractographies without memory restrictions |
302 |
| -%\item Playing with datasets interactively without storing |
303 |
| -\end{itemize} |
304 |
| - |
305 |
| - |
306 | 329 | %___________________________________________________________________________
|
307 | 330 |
|
308 | 331 | \ndproject{NiTime}{http://nipy.org/nitime}{nitime_logo.pdf}{.3}{-1.25em}{-3em}
|
|
350 | 373 |
|
351 | 374 | %___________________________________________________________________________
|
352 | 375 |
|
353 |
| -\ndproject{BrainVISA}{http://brainvisa.info}{brainvisa_logo.png}{.2}{-0.25em}{0em} |
354 |
| - |
355 |
| -BrainVISA is an open-source, modular and customizable software platform built |
356 |
| -to host heterogeneous tools dedicated to neuroimaging research. It aims at |
357 |
| -helping researchers in developing new neuroimaging tools, sharing data and |
358 |
| -distributing their software. |
359 |
| -\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc] |
360 |
| -%\item Written in pure Python |
361 |
| -\item Databasing capabilities |
362 |
| -\item Massive computation facilities using Soma-workflow |
363 |
| -\item Open environment, with many toolboxes |
364 |
| -\item Specialized toolboxes for T1 MRI processing, sulci ang gyri morphometry, |
365 |
| -diffusion imaging and fibers tracking, surfacic and structural analysis, |
366 |
| -3D histology\ldots |
367 |
| -\item Links with other software like SPM, FSL, FreeSurfer, or CIVET |
368 |
| -\end{itemize} |
369 |
| -\includegraphics[width=0.9\columnwidth]{../pics/brainvisa_screenshot.png} |
370 |
| -\ndcite{D. Geffroy, D. Rivière, I. Denghien, N. Souedet, |
371 |
| - S. Laguitton, and Y. Cointepas. BrainVISA: a complete software |
372 |
| - platform for neuroimaging. In Python in Neuroscience workshop, |
373 |
| - Paris, Aug. 2011.} |
374 |
| - |
375 |
| -%___________________________________________________________________________ |
376 |
| - |
377 | 376 | % \ndproject{AIMS}{http://brainvisa.info}{blank.png}{.2}{-2.25em}{0em}
|
378 | 377 | %
|
379 | 378 | % AIMS is the image processing library provided within the BrainVISA environment.
|
|
415 | 414 | \ndsection{Visualization}
|
416 | 415 |
|
417 | 416 | %___________________________________________________________________________
|
418 |
| - |
419 |
| -\ndproject{PySurfer}{http://pysurfer.github.com}{pysurfer_logo.png}{.2}{-0.25em}{0em} |
420 |
| - |
421 |
| -PySurfer is a module for visualization and interaction with cortical |
422 |
| -surface representations of neuroimaging data from Freesurfer. It |
423 |
| -extends Mayavi’s powerful visualization engine with a high-level |
424 |
| -interface for working with MRI and MEG data. PySurfer offers both a |
425 |
| -command-line interface designed to broadly replicate Freesurfer’s |
426 |
| -Tksurfer program as well as a Python library for writing scripts to |
427 |
| -efficiently explore complex datasets. |
428 |
| - |
429 |
| -%___________________________________________________________________________ |
430 |
| - |
431 | 417 | \ndproject{Anatomist}{http://brainvisa.info}{anatomist.png}{.2}{-0.25em}{0em}
|
432 | 418 |
|
433 | 419 | Anatomist is a powerful 3D visualization software dedicated to
|
|
446 | 432 | Y. Cointepas. Anatomist: a python framework for interactive 3D
|
447 | 433 | visualization of neuroimaging data. In Python in Neuroscience
|
448 | 434 | workshop, 2011}
|
| 435 | + |
| 436 | + |
| 437 | +\ndproject{PySurfer}{http://pysurfer.github.com}{pysurfer_logo.png}{.2}{-0.25em}{0em} |
| 438 | + |
| 439 | +PySurfer is a module for visualization and interaction with cortical |
| 440 | +surface representations of neuroimaging data from Freesurfer. It |
| 441 | +extends Mayavi’s powerful visualization engine with a high-level |
| 442 | +interface for working with MRI and MEG data. PySurfer offers both a |
| 443 | +command-line interface designed to broadly replicate Freesurfer’s |
| 444 | +Tksurfer program as well as a Python library for writing scripts to |
| 445 | +efficiently explore complex datasets. |
| 446 | + |
| 447 | +%___________________________________________________________________________ |
| 448 | + |
449 | 449 | \end{multicols}
|
450 | 450 | \end{document}
|
451 | 451 |
|
|
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