Ktdiedrich: Time series monitoring of intracranial bones for watchful waiting of meningioma.

2012-06-15T15:10:25Z

Time series monitoring of intracranial bones for watchful waiting of meningioma.

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==Key Investigators==
* AZE Research and Development, Cambridge, MA: Karl Diedrich

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<h3>Objective</h3>
* The goal of this project is to increase the performance (sensitivity and specificity) of detection of bone involvement in meningioma. Meningiomas are the most common form of intracranial tumor [1]. Meningiomas are either managed by watchful waiting or treated by resection and optional radiation therapy [2]. Bone involvement signals a more dangerous form of disease with increased death rates and recurrence after treatment warranting more aggressiveness treatment [2], [3]. Bone involvement is detected by radiographic evidence of hyperostosis, bone sclerosis or osteolytic lesions [2]. Watchful waiting involves repeated time series imaging of patients by magnetic resonance imaging (MRI) following initial discovery often by computed tomography (CT).

* Learn to develop Slicer commandline extensions
* Learn to develop Slicer modules

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<h3>Approach, Plan</h3>
*Segment the intracranial bones by thresholding the intensity by histogram and keeping the largest connected component
*Rigid register the time series bone tissue. The sparse data from the segmentation will be converted into a filled out distance map for gradient descent optimization using the mutual information cost function for intermodality CT MRI registration.

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<h3>Progress</h3>
* Segmented part of intracranial bone by intensity threshold.
* Turned the bone into a distance map and registered bone on the distance map.

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==Delivery Mechanism==

Distance map module.
* Slicer Module
* Extension -- commandline

==References==
# J. Wiemels, M. Wrensch, and E. B. Claus, “Epidemiology and etiology of meningioma,” J. Neurooncol., vol. 99, no. 3, pp. 307–314, Sep. 2010.
# D. Gabeau-Lacet, M. Aghi, R. A. Betensky, F. G. Barker, J. S. Loeffler, and D. N. Louis, “Bone Involvement Predicts Poor Outcome in Atypical Meningioma,” J Neurosurg, vol. 111, no. 3, pp. 464–471, Sep. 2009.
# R. Graf, M. Plotkin, I. G. Steffen, R. Wurm, P. Wust, W. Brenner, V. Budach, and H. Badakhshi, “Magnetic resonance imaging, computed tomography, and 68Ga-DOTATOC positron emission tomography for imaging skull base meningiomas with infracranial extension treated with stereotactic radiotherapy--a case series,” Head Face Med, vol. 8, p. 1, 2012.

2012 Summer Project Week:TimeSeriesMonitoringIntracranialBones - Revision history

Ktdiedrich: Time series monitoring of intracranial bones for watchful waiting of meningioma.