Longitudinal MRI assessment: the identification of relevant features in the development of Posterior Fossa Syndrome in children
Spiteri, Michaela, Lewis, E, Windridge, D and Avula, S (2015) Longitudinal MRI assessment: the identification of relevant features in the development of Posterior Fossa Syndrome in children In: SPIE Medical Imaging Conference 2015, Orland, Florida.
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Up to 25% of children who undergo brain tumour resection surgery in the posterior fossa develop posterior fossa syndrome (PFS). This syndrome is characterised by mutism and disturbance in speech. Our hypothesis is that there is a correlation between PFS and the occurrence of hypertrophic olivary degeneration (HOD) in lobes within the posterior fossa, known as the inferior olivary nuclei (ION). HOD is exhibited as an increase in size and intensity of the ION on an MR image. Intra-operative MRI (IoMRI) is currently being carried out during surgical procedures at the Alder Hey Children’s Hospital, Liverpool, England, in the treatment of such tumours. The final MR scan on the IoMRI allows early assessment of the ION immediately after the surgical procedure. The longitudinal MRI data of 28 patients was analysed in a collaborative study with Alder Hey Children’s Hospital, Liverpool, England, in order to identify the most relevant imaging features that relate to the development of PFS, specifically related to HOD. A semi-automated segmentation process was carried out to delineate the ION on each MRI. Feature selection techniques were used to identify the most relevant features amongst the MRI data, demographics and clinical data provided by the hospital. A support vector machine (SVM) was used to analyse the integrity of the selected features. The results indicate the presence of HOD as the most efficient feature that correlates with the development of PFS, followed by the change in intensity and size of the ION and whether HOD occurred bilaterally or unilaterally.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Date :||20 March 2015|
|Identification Number :||https://doi.org/10.1117/12.2081591|
|Additional Information :||Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.|
|Depositing User :||Michaela Spiteri|
|Date Deposited :||11 Nov 2015 11:11|
|Last Modified :||11 Nov 2015 11:11|
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