Why cookies? Simply because they are used to help the website function, to improve your browser experience, to integrate with social media and to show relevant advertisements tailored to your interests. Click 'I understand' to accept cookies and go directly to the site or click 'Change settings' to change your cookie preferences. Click here

Close

Home

Clinical applications selector

Smart Quant - Body

MR Clinical Applications

Find similar products

Smart Quant Body, a combination of AI reconstruction technology and quantitative MR, is designed to allow you to perform fast and high-quality MR imaging of the body with a single quantification scan to increase your diagnostic confidence.

Request contact

Features

Fat fraction quantification

Fat fraction quantification

mDIXON Quant brings fast, high quality MR quantification of fat in the liver into mainstream clinical practice. Using a robust 6-echo acquisition, 7-peak fat modeling, and T2* correction, 3D fat fraction maps of the whole liver can be obtained with high accuracy ( 3.5%) and reproducibility ( 1.4%) in one single breathhold, even for short T2*. To aid your diagnostic assessment, fat fraction maps may be displayed in colors with a quantification bar and T2* (or R2*) relaxation maps are also provided.

Speed without compromise

Speed without compromise

Philips SmartSpeed delivers image quality and speed without compromise via award-winning AI technology⁸ and a state-of-the-art Compressed SENSE speed engine. It increases imaging speed by up to a factor of 3⁹, provides up to 65% greater resolution⁹ to deliver outstanding image quality, and is compatible with 97% of clinical protocols¹⁰. It covers motion imaging, imaging near implants, free-breathing imaging and diffusion-weighted imaging to address the needs of a broad range of patients in various conditions.
Smart Quant - Body MR Clinical Applications

You are about to visit a Philips global content page

Continue

You are about to visit a Philips global content page

Continue

Our site can best be viewed with the latest version of Microsoft Edge, Google Chrome or Firefox.