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Abstract #4500

Computing ADC for higher b -value using log-linear relationship between ADC and b -value

Prativa Sahoo 1 , Rakesh Kumar Gupta 2 , Indrajit Saha 1 , Bhaswati Roy 2 , Ram Krishna Singh Rathore 3 , and Divya Rathore 4

1 Philips Healthcare, Philips India Ltd, Gurgaon, Haryana, India, 2 Radiology and Imaging, Fortis Memorial Research Institute, Gurgaon, Haryana, India, 3 Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, UP, India, 4 ADISL India, Kanpur, UP, India

Diffusion weighted imaging (DWI) is a very sensitive imaging sequence for detecting various tissue abnormalities in brain. In clinical practice, b-values of 1000 sec/mm2 or less are commonly used; however it has been reported that use of higher b-values improves disease visualization and detection1. DWI imaging with higher b-values is challenging because it suffers with low signal to noise ratio (SNR), distortion along with longer scan time. To overcome these difficulties computed DWI technique has been proposed by many researchers 2. Computed DWI technique is a mathematical technique, which generates images of higher b-values by using at least two different lower b value (b ≤ 1000) images. Here we report that we have observed ADC depends on b-values, on contrary to the previous assumption where it was considered constant for all b-values and computation of ADC corresponding to higher b-values was not possible. The aim of this study was to find the relationship between ADC and b-values for quantification of ADC corresponding to higher b-values using lower b-values with computed DWI technique.

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