Projects:MultiScaleShapeSegmentation - Revision history

Ygao at 01:03, 16 November 2013

2013-11-16T01:03:09Z

Ygao at 15:46, 12 January 2012

2012-01-12T15:46:09Z

Ygao: /* References */

2012-01-12T15:44:34Z

References

Ygao: /* References */

2012-01-12T15:44:16Z

References

Ygao: /* References */

2011-10-17T00:06:47Z

References

Ygao: /* Key Investigators */

2011-10-17T00:06:33Z

Key Investigators

Ygao: /* Description */

2011-10-17T00:05:46Z

Description

Ygao at 23:57, 16 October 2011

2011-10-16T23:57:40Z

Tannenba: /* Multi-scale Shape Representation and Segmentation With Applications in Radiotherapy */

2011-10-16T20:49:38Z

Multi-scale Shape Representation and Segmentation With Applications in Radiotherapy

Tannenba: /* Multi-scale Shape Representation and Segmentation With Application in The Adaptive Tadiotherapy */

2011-10-16T20:37:42Z

Multi-scale Shape Representation and Segmentation With Application in The Adaptive Tadiotherapy

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-  Back to [[Algorithm:BU|Boston University Algorithms]]
+  Back to [[Algorithm:Stony Brook|Stony Brook University Algorithms]]
 __NOTOC__
 = Multi-scale Shape Representation and Segmentation With Applications to Radiotherapy =

@@ Line 1: / Line 1: @@
-  Back to [[Algorithm:GATech|Georgia Tech Algorithms]]
+  Back to [[Algorithm:BU|Boston University Algorithms]]
 __NOTOC__
 = Multi-scale Shape Representation and Segmentation With Applications to Radiotherapy =

@@ Line 29: / Line 29: @@
 = References =
 # Gao, Y. and Corn, B. and Schifter, D. and Tannenbaum, A. ''Multiscale 3D Shape Representation and Segmentation with Applications to Hippocampal/Caudate Extraction from Brain MRI'', Medical Image Analysis, 2011 in press
-#. Patchell, R.: The management of brain metastases. Cancer Treat Rev. 29(6), 533–540 (2003)
+# Patchell, R.: The management of brain metastases. Cancer Treat Rev. 29(6), 533–540 (2003)
-#. Knisely, J.: Focused attention on brain metastases. Lancet Oncol. 10, 1037–1044 (2009)
+# Knisely, J.: Focused attention on brain metastases. Lancet Oncol. 10, 1037–1044 (2009)
-#. Aoyama, H., Tago, M., Kato, N., et al.: Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. In: Int. J. Radiat Oncol, vol. 68(5), pp. 1388–1395 (2007)
+# Aoyama, H., Tago, M., Kato, N., et al.: Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. In: Int. J. Radiat Oncol, vol. 68(5), pp. 1388–1395 (2007)
-#. Chang, E., Wefel, J., Hess, K., et al.: Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncology 10(11), 1037–1044 (2009)
+# Chang, E., Wefel, J., Hess, K., et al.: Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncology 10(11), 1037–1044 (2009)

@@ Line 28: / Line 28: @@
 = References =
-. Patchell, R.: The management of brain metastases. Cancer Treat Rev. 29(6), 533–540 (2003)
+# Gao, Y. and Corn, B. and Schifter, D. and Tannenbaum, A. ''Multiscale 3D Shape Representation and Segmentation with Applications to Hippocampal/Caudate Extraction from Brain MRI'', Medical Image Analysis, 2011 in press
+#. Patchell, R.: The management of brain metastases. Cancer Treat Rev. 29(6), 533–540 (2003)
-. Knisely, J.: Focused attention on brain metastases. Lancet Oncol. 10, 1037–1044 (2009)
+#. Knisely, J.: Focused attention on brain metastases. Lancet Oncol. 10, 1037–1044 (2009)
+#. Aoyama, H., Tago, M., Kato, N., et al.: Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. In: Int. J. Radiat Oncol, vol. 68(5), pp. 1388–1395 (2007)
-. Aoyama, H., Tago, M., Kato, N., et al.: Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. In: Int. J. Radiat Oncol, vol. 68(5), pp. 1388–1395 (2007)
+#. Chang, E., Wefel, J., Hess, K., et al.: Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncology 10(11), 1037–1044 (2009)

@@ Line 29: / Line 29: @@
 = References =
 . Patchell, R.: The management of brain metastases. Cancer Treat Rev. 29(6), 533–540 (2003)
 . Knisely, J.: Focused attention on brain metastases. Lancet Oncol. 10, 1037–1044 (2009)
 . Aoyama, H., Tago, M., Kato, N., et al.: Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. In: Int. J. Radiat Oncol, vol. 68(5), pp. 1388–1395 (2007)
 . Chang, E., Wefel, J., Hess, K., et al.: Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncology 10(11), 1037–1044 (2009)

← Older revision		Revision as of 00:06, 17 October 2011
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	Georgia Tech: Yi Gao and Allen Tannenbaum		Georgia Tech: Yi Gao and Allen Tannenbaum
		+
		+	= References =
		+	1. Patchell, R.: The management of brain metastases. Cancer Treat Rev. 29(6), 533–540 (2003)
		+	2. Knisely, J.: Focused attention on brain metastases. Lancet Oncol. 10, 1037–1044 (2009)
		+	3. Aoyama, H., Tago, M., Kato, N., et al.: Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. In: Int. J. Radiat Oncol, vol. 68(5), pp. 1388–1395 (2007)
		+	4. Chang, E., Wefel, J., Hess, K., et al.: Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncology 10(11), 1037–1044 (2009)

@@ Line 4: / Line 4: @@
 = Description =
-We present in this work a multiscale representation for shapes with arbitrary topology, and a method to segment the target organ/tissue from medical images having very low contrast with respect to surrounding regions using multiscale shape information and local image features. In many previous works, shape knowledge was incorporated by first constructing a shape space from training cases, and then constraining the segmentation process to be within the learned shape space. However, such an approach has certain limitations due to the number of variations in the learned shape space. Moreover, small scale shape variances are usually overwhelmed by those in the large scale, and therefore the local shape information is lost. In this work, first we handle this problem by providing a multiscale shape representation using the wavelet transform. Consequently, the shape variances captured by the statistical learning step are also represented at various scales. In doing so, not only the number of shape variances are largely enriched, but also the small scale changes are nicely captured. Furthermore, in order to make full use of the training information, not only the shape but also the grayscale training images are utilized in a multi-atlas initialization procedure.
+Brain metastases constitute the most common manifestation of cancer involving the central nervous system. Indeed, it has been estimated that over 170,000 cases of brain metastases are diagnosed annually in the United States alone [1]. During the past half-century, the cornerstone of treatment for this oncologic phenomenon has been whole brain irradiation (WBI) [2]. WBI has multiple salutary effects including rapid relief of neurological signs and symptoms as well as enhanced local control. Moreover, WBI represents an attractive clinical alternative because it can potentially suppress micrometastases that are undetectable with the current degree of resolution by MR imaging. Unfortunately, WBI may also engender side effects including memory deficits and decrements in quality of life [3].
 == Result ==

@@ Line 8: / Line 8: @@
 == Result ==
-The method is applied on hippocampus.
+The segmentation method is applied on hippocampus. In the figure below, we show the segmentation results. In the first, third, and the fifth rows, the yellow colored shapes are the segmentation results output by the method. In the second, forth, and sixth rows, the colors on the shapes indicate the difference with the manual segmentation results: For each point on the shape (result of the segmentation algorithm), we compute the closest point on the manual segmented surface, and record the distance to that point. Such distances are encoded by the color shown in those rows.
 [[Image:MultiScaleHippoSegmentationHausdorf.png|800px]]
-The method is also applied on caudate
+The method is also applied on caudate. Similarly to the hippocampus cases, in the figure below, we show the segmentation results. In the first and third rows, the yellow colored shapes are the segmentation results output by the method. In the second and forth rows, the colors on the shapes indicate the difference with the manual segmentation results: For each point on the shape (result of the segmentation algorithm), we compute the closest point on the manual segmented surface, and record the distance to that point. Such distances are encoded by the color shown in those rows.
 [[Image:MultiScaleCaudateSegmentationHausdorf.png|800px]]