Projects:LearningRegistrationCostFunctions - Revision history

Polina: /* Publications */

2010-11-06T03:14:44Z

Publications

Marianna at 17:34, 14 May 2010

2010-05-14T17:34:59Z

Marianna: /* Learning Task-Optimal Registration Cost Functions */

2010-05-14T17:27:46Z

Learning Task-Optimal Registration Cost Functions

Marianna: /* Publications */

2010-05-14T13:18:19Z

Publications

Marianna at 13:17, 14 May 2010

2010-05-14T13:17:57Z

Melonakos: /* Publications */

2010-05-11T19:59:42Z

Publications

Kikinis: /* Key Investigators */

2010-05-11T12:00:55Z

Key Investigators

Polina: /* Publications */

2010-05-06T14:26:52Z

Publications

Polina at 21:17, 5 May 2010

2010-05-05T21:17:46Z

Polina: /* Publications */

2010-02-17T23:27:39Z

Publications

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 = Publications =
 [http://www.na-mic.org/publications/pages/display?search=Task-optimal NA-MIC Publications Database on Learning Task-Optimal Registration Cost Functions]
 [[Category: Registration]] [[Category:Segmentation]]

@@ Line 30: / Line 30: @@
 In this experiment, we estimate the optimal template in the wSSD cost function for localizing Brodmann areas in 10 histologically-analyzed subjects. We compare 3 algorithms: task-optimal template (red), FreeSurfer (green) [1] and optimal uniform weights of the wSSD (black). The optimal uniform weights of the wSSD are found by setting all the weights to a single value and performing an exhaustive search of the weights. We see in the figure below, that task-optimal framework achieves the lowest localization errors.
-<center>
+<gallery>
-<table>
+Image:to.Presentation.mean2.V1V2BA2.png
-<tr>
+Image:to.Presentation.mean2.BA44BA45MT.png
-<td>
+</gallery>
 == (1b) Interpreting Task-Optimal Template Estimation ==
 Fig(a) shows the initial cortical geometry of a template subject with its corresponding BA2 in black outline. In this particular subject, the postcentral sulcus is more prominent than the central sulcus. Fig(b) shows the cortical geometry of a test subject together with its BA2. In this subject, the central sulcus is more prominent than the postcentral sulcus. Consequently, in the uniform-weights method, the central sulcus of the test subject is wrongly mapped to the postcentral sulcus of the template, so that BA2 is misregistered, as shown by the green outline in Fig(a). During task-optimal training, our method interrupts the geometry of the postcentral sulcus in the template because the uninterrupted postcentral sulcus in the template is inconsistent with localizing BA2 in the training subjects. The ﬁnal template is shown in Fig(c). We see that the BA2 of the subject (green) and the task-optimal template (black) are well-aligned, although there still exists localization error in the superior end of BA2.
-<center>
+<gallery>
-<table>
+Image:BA2_template.png|Initial Template
-<tr>
+Image:BA2_subject.png|Test Subject
-<td>
+Image:BA2_final_template.png|Final Template
-[[Image:BA2_template.png|thumb|center|250px|(a) Initial Template]]
+</gallery>
 The video below visualizes the template at each iteration of the optimization.
-[[Image:lh.pm14686.BA2.gif|thumb|center|300px]]
+<gallery>Image:lh.pm14686.BA2.gif</gallery>
 == (2) Localizing fMRI-defined MT+ Using Cortical Folding ==
 In this experiment, we consider 42 subjects with fMRI-defined MT+. MT+ is thought to include the cytoarchitectonically-defined MT, as well as, a small part of the medial superior temporal region. We use the ex-vivo MT template to predict MT+ in the 42 in-vivo subjects. We see that once again, task-optimal template achieves better localization results than FreeSurfer.
-[[Image:exvivoMTPredictsInvivoMT.png|thumb|center|300px]]
+<gallery>Image:exvivoMTPredictsInvivoMT.png</gallery>
 == (2b) Cross-validating In-vivo Subjects ==
 We now perform cross-validation within the in-vivo data set. We consider 9, 19 or 29 training subjects for the task-optimal template. For FreeSurfer, there is no training, so there is only 1 data point. Like before, task-optimal template achieves lower localization errors.
-<center>
+<gallery>
-<table>
+Image:To.LeftInvivoCrossValidation.png|Initial Template
-<tr>
+Image:To.RightInvivoCrossValidation.png|Test Subject
-<td>
+</gallery>
 = Key Investigators =
@@ Line 102: / Line 71: @@
 = Publications =
-<font color="red">'''New: '''</font> B.T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne Holt, Katrin Amunts, Karl Zilles, Polina Golland, and Bruce Fischl.
+<font color="red">'''New: '''</font> B.T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne Holt, Katrin Amunts, Karl Zilles, Polina Golland, and Bruce Fischl. Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex. IEEE Transactions on Medical Imaging, in press, 2010.
 Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.
-IEEE Transactions on Medical Imaging, in press, 2010.
+B. Fischl, M. Sereno, R. Tootell, and A. Dale. High-resolution Intersubject Averaging and a Coordinate System for the Cortical Surface. Human Brain Mapping, 8(4):272–284, 1999.
 [http://www.na-mic.org/publications/pages/display?search=Task-optimal NA-MIC Publications Database on Learning Task-Optimal Registration Cost Functions]
 [[Category: Registration]] [[Category:Segmentation]]

@@ Line 8: / Line 8: @@
-<center>
+<gallery>
-<table>
+Image:to.rh.pm1696.BAsALL.lat.cropped.caption.png
-<tr>
+Image:to.rh.pm20784.BAsALL.lat.cropped.caption.png
-<td>
+</gallery>
 = Description =

@@ Line 110: / Line 110: @@
 = Publications =
-<font color="red">'''New: '''</font>
+<font color="red">'''New: '''</font> B.T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne Holt, Katrin Amunts, Karl Zilles, Polina Golland, and Bruce Fischl.
 Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.
 IEEE Transactions on Medical Imaging, in press, 2010.

@@ Line 111: / Line 111: @@
 <font color="red">'''New: '''</font>
-B.T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne Holt, Katrin Amunts, Karl Zilles, Polina Golland, and Bruce Fischl.
+ B.T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne Holt, Katrin Amunts, Karl Zilles, Polina Golland, and Bruce Fischl.
 Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.
 IEEE Transactions on Medical Imaging, in press, 2010.
-[http://www.na-mic.org/publications/pages/display?search=Task-optimal&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database on Learning Task-Optimal Registration Cost Functions]
+[http://www.na-mic.org/publications/pages/display?search=Task-optimal NA-MIC Publications Database on Learning Task-Optimal Registration Cost Functions]
 [[Category: Registration]] [[Category:Segmentation]]

@@ Line 102: / Line 102: @@
 = Key Investigators =
-* MIT: [[http://people.csail.mit.edu/ythomas/ | B.T. Thomas Yeo]], Mert Sabuncu, Polina Golland
+* MIT: [http://people.csail.mit.edu/ythomas/  B.T. Thomas Yeo], Mert Sabuncu, Polina Golland
 * MGH: Bruce Fischl, Daphne Holt
 * INRIA: Tom Vercauteren