Application of novel image filters to MR image data
Background: Although time taken for completing MR exams has decreased substantially in recent past, it is still considerably longer than some other imaging examinations such as CT scanning. Radiologists have to manage a careful balance between examination duration and image quality. Image filters have been applied in past to CT, plain film radiography, and ultrasound. Purpose and scientific questions: The aim of our study is to assess if special 3D image filters can help quality of MR images compared to unprocessed and 2D filtered images. Another scientific question pertains to reduction of time required for performing MR examination with 3D filters. Most important variables: Image quality of MR images with and without application of the image filter will be compared by multiple independent radiologists. Assessment of image quality will include both the standard deviation of the MR signal as well as the subjective assessment of the image quality by multiple radiologists. Time saved with the use of 3D filters will be estimated for each subject. Advances in Knowledge and significance: Use of 3D filters for enhancing MR capabilities has not described before. Our study intends to determine if 3D filters for MR exams can help improve image quality and/or aid in reducing MR examination duration compared to use of either no filter or 2D filters. If found useful, the 3D filters will help us improve patient throughput in MRI and at the same time will enhance image quality of MR images.
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- Project Description:
In the present study, we will obtain additional MRI images on subjects undergoing MRI examination for a clinical reason. Therefore, in our study, only MR images will be used. We will personally acquire the data in a manner described in the appendix of this application so as to ensure the reliability of acquired data. These images will be coded to remove all patient identifying information. Then, these images will be given over to folks from Contextvision, Inc, Linkoping, Sweden, for improving image quality using novel 3D filter technique. Original and post processed images will be compared for image quality by multiple radiologists.