Meeting Banner
Abstract #4947

Inverse Laplace transform analysis using a fast multi-echo TSE sequence for prostate cancer diagnosis

Shiyang Wang1, Harsh Agrawal2, Milica Medved1, Tatjana Antic3, Ambereen Yousuf1, Gregory Karczmar1, Roger Bourne4, and Aytek Oto1

1Radiology, University of Chicago, Chicago, IL, United States, 2R&D Institute, Samsung R&D Institute, Bangalore, India, 3Pathology, University of Chicago, Chicago, IL, United States, 4Health Science, University of Sydney, Sydney, Australia

To evaluate the inverse Laplace model fitting to multiple TE TSE data for prostate cancer diagnosis. Prostate tissue has glandular structure with luminal volume and epithelial cells forming the walls of gland. The underlying physical phenomenon in prostate cancer can be accurately captured using two-compartment T2 decay modeling. It is impossible to acquire MR images to perform accurate multi-compartment T2 decay model in clinically feasible scan times since multiple T2W MRI images over a wide range of echo times are required. Recently a fast multi-echo TSE (ME-TSE) T2 mapping technique, k-t-T2 MRI was developed to obtain high resolution T2 maps in clinically feasible scan time. In this study, a new implementation of the inverse Laplace transform was applied to the multi-echo TSE T2WI data. We present evidence that multiple slow components can be present in the decaying T2WI signal in the normal tissue in the prostate but were absent in pathology confirmed cancers on k-t-T2 data.

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.

Keywords