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Abstract #2501

Microhemorrhage Detection with Segmented EPI SWI: Comparison to 3D GRE SWI in a Series of TBI Patients

Wen-Tung Wang1, Ningzhi Li2, Dzung Pham2, John Anthony Butman1, 2

1Radiology and Imaging Sciences, Clinical Center of the National Institutes of Health, Bethesda, MD, United States; 2Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States

Susceptibility weighted imaging using segmented EPI dramatically accelerates aquisition as compared with traditional 3D GRE methods. In the context of TBI, the ability to cover the whole brain in 90 seconds with segmented EPI with microhemorrhage detection sensitivity comparable to the 9 minute 3D GRE method makes it attractive for routine clinical use.

Keywords

ability accelerated acceleration accommodate achieved acquisition allowing anterior applications arrows artifact aspects assist basal bias biograph blurring brain clinical common comparable complete concordance confidently constraints contingency contrast contusions count counted counts covering critical datasets design despite detect detection discordance distortion distortions dramatic either emphasized enrolled examples fast favorably filtered filtering fold forty global gradient greatly half hallmark health hemorrhage hemorrhagic highly history identification included incorporating increasingly indicate indicated injury institutes intensity john least length lesion limited lobe long magnitude major materials matrix median medicine minimal minimize minutes morbidity mortality natural near needed negative nevertheless note parallel particular patient patients performance planar positive post precisely procedure processed produce product quality radiology recalled regenerative relatively replace resolution review reviewed running saved scanned sciences segmented separate separated sequentially series session sessions sets sites skull slice slices software susceptibility system table tagging technical temporal traditional train traumatic unfortunately unwrapping variable whether whole workstation worldwide worst