Abstract #4113

Determine Breast Density from T1-weighted Images using a 3D Convolutional Neural Network

Mario Serrano-Sosa¹, Jie Ding¹, Karl Spuhler¹, and Chuan Huang^2,3

¹Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, ²Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, ³Radiology, Stony Brook Radiology, Stony Brook, NY, United States

Using MRI-based breast density (BD) measurements, we trained a convolutional neural network to take a T1-weighted MRI and output a BD value. Our CNN yielded a 3.1% error for the entire data set and 4.1% error in the testing set. Having a CNN work on T1-weighted MRI to quantify BD will allow BD to be a part of every practice.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.