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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