Abstract #2238

Evaluation of generative models for synthetic CT images using SINGHA, a new spectrally informed metric

Veronica Ravano^1,2,3, Adham Elwakil^1,2,3, Thomas Yu^1,2,3, Tom Hilbert^1,2,3, Bénédicte Maréchal^1,2,3, Jonas Richiardi², Jean-Philippe Thiran³, Charbel Mourad², Paul Margain⁴, Julien Favre⁴, Tobias Kober^1,2,3, Patrick Omoumi², and Stefan Sommer^1,5

¹Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland, ²Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ³LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, ⁴Swiss Biomotion Lab, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁵Swiss Centre for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland

Synopsis

Keywords: Analysis/Processing, MSK, synthetic CT

Motivation: Synthetic CT (sCT) based on MRI could improve the characterization of bone pathology by estimating bone mineral density and providing a high level of structural details. However, evaluating the performance of sCT is challenging in both respects.

Goal(s): To propose an evaluation framework for sCT that quantifies accuracy both in terms of image intensity and depiction of structural details.

Approach: We propose the new frequency-based metric SINGHA that captures the sharpness difference between images.

Results: SINGHA was complementary to standard metrics and captured differences in high frequency content, thereby contributing to a more comprehensive evaluation of sCT images.

Impact: Using the newly introduced Spectrally-INformed Grading of High-frequency Attributes (SINGHA) in conjunction with standard intensity-based metrics enables to simultaneously evaluate synthetic CT accuracy in terms of bone mineral density and sharpness.

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.