Voxelwise Detection of Cerebral Microbleed in CADASIL Patients by Naive Bayesian Classifier

Abstract

It is important to detect cerebral microbleed voxels from the brain image of cerebral autosomal-dominant arteriopathy with subcortical infarcts and Leukoencephalopathy (CADASIL) patients. Methods developed by other researchers before have a high variablity of intra-observer and inter-observer. In our study, we collect our dataset from the 20 brain volumetric images, 10 for CADASIL patients and 10 for healthy controls. And we used naive baysian classifier to get the results. We use cross validation to improve the performance of naive Baysian classifier. The results show that the average sensitivity is 74.53±0.96%, the average specificity is 74.51±1.05%, and the average accuracy is 74.52±1.00%.

Review of methods for automatic cerebral microbleeds detection

“…Datasets that were not included in the table due to insufficient information are [137,140,124,125,52,139,22,78]. They contained only information about, for example, the number of patients or the type of sequence.…”

“…It might be performed using the sliding neighborhood processing (SNP) technique to produce smaller fragments of the original image. A lot of works utilized this method: [46,22,53,48,47,52,139,4,14,77,23,124,125,75,49].…”

“…The first category includes researches that use data from specific, existing studies:[25,2,41,28,27,21,78,32,33,35,5,74,34,6,20]. The second category refers to studies that collected data specifically to develop this tools:[1,30,26,51,17,42,43,3,80,79,24,18,14,77,23,35,19,31,76,22,75,49,73,72,46,47,48], whereas the third category contains studies that do not specify the sources of data used:[52,45,29,13,44,53,4,50,…”

“…The second category refers to studies that collected data specifically to develop this tools:[1,30,26,51,17,42,43,3,80,79,24,18,14,77,23,35,19,31,76,22,75,49,73,72,46,47,48], whereas the third category contains studies that do not specify the sources of data used:[52,45,29,13,44,53,4,50,126,124,125,138,137,140,139]. The researches focused on diagnosing several medical conditions: Alzheimer's and elderly diseases (AD)[25,2,41,28,27,21,78,35,<...…”