biostudies-literatureUnknown67(13)Han PNIBIB NIH HHSNCI NIH HHSNational Institutes of Health<i>Objective.</i>To develop and test the feasibility of a novel Single ProjectIon DrivEn Real-time Multi-contrast (SPIDERM) MR imaging technique that can generate real-time 3D images on-the-fly with flexible contrast weightings and a low latency.<i>Approach.</i>In SPIDERM, a 'prep' scan is first performed, with sparse k-space sampling periodically interleaved with the central k-space line (navigator data), to learn a subject-specific model, incorporating a spatial subspace and a linear transformation between navigator data and subspace coordinates. A 'live' scan is then performed by repeatedly acquiring the central k-space line only to dynamically determine subspace coordinates. With the 'prep'-learned subspace and 'live' coordinates, real-time 3D images are generated on-the-fly with compuPhysics in medicine and biologyhttps://www.ebi.ac.uk/biostudies/studies/S-EPMC9680913biostudies-literatureSingle projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.PMC9680913R01 EB028146R01 EB029088R21 CA234637Christodoulou AGHan PYang WCao MChen JHu ZLi DFan ZXiao JLing DCHan FfalseSingle projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.<i>Objective.</i>To develop and test the feasibility of a novel Single ProjectIon DrivEn Real-time Multi-contrast (SPIDERM) MR imaging technique that can generate real-time 3D images on-the-fly with flexible contrast weightings and a low latency.<i>Approach.</i>In SPIDERM, a 'prep' scan is first performed, with sparse k-space sampling periodically interleaved with the central k-space line (navigator data), to learn a subject-specific model, incorporating a spatial subspace and a linear transformation between navigator data and subspace coordinates. A 'live' scan is then performed by repeatedly acquiring the central k-space line only to dynamically determine subspace coordinates. With the 'prep'-learned subspace and 'live' coordinates, real-time 3D images are generated on-the-fly with compu2022-01-01T00:00:00Z2022 Jun2025-04-05T10:57:51.522Z2025-04-05T10:57:51.522ZS-EPMC96809133569701010.1088/1361-6560/ac783e