This website, whose manager is Bubok Publishing, s.l., uses cookies (small data files that get stored in your browser), your own data and third parties' data as well, for the operation of the site (necessary), analytics (anonymous analysis of your activity on the website) and social media activity (so that you can interact through them). You can read our política de cookies. You can accept, reject, manage or view more information about said cookies by clicking on the corresponding button.
AcceptRejectSettings and further information

High Quality for Cancer Detection from Design to Implementation using Lung MRI Images


The diffusion weighted images have high signal in the major airways (see Figure 4) biasing the ADC parameters to be calculated. The high signal intensity values vary between slices and subjects. Normally in DWI we obtain 18 or 20 images from which we calculate ADC maps. 9 or 10 ADC maps along with histograms are obtained. The whole lung ADC (including major airways) calculated shows substantially larger ADC values compared to the ADC values from the lung parenchyma. The trachea being larger in size than the alveoli contains more gas giving high signal in the MRI image.

In order to obtain the ADC mean from the lung parenchyma we need to segment out the major airways. This implies high signal from the airways skews the ADC values. We need to obtain ADC values from the lung parenchyma without the influence of the airways. 

Link for I.T. Gaza, Palestine.
USD 20
Quantity
+
Add to Cart
Buy Now

Pay as you want

Credit Card Credit Card
Paypal Paypal
Product Details:
  • Author: Iyad Shaheen. Link for I.T. Gaza, Palestine.
  • Status: For sale in Bubok
  • Number of pages: 34
  • Size: 170x235
  • Inside: Colour
  • Binding: Stapling
  • Cover finish: Glossy
  • Last update: 25/06/2024
  • ISBN eBook as PDF: 676756574
    ISBN Paperback: 5421449163893
No Comments about this book Sign up to comment about this book
En Stock, recíbelo en 48h
Quantity
+