Accelerated MR parameter mapping with a union of local subspaces constraint.

Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine
Sagar MandavaAli Bilgin

Abstract

A new reconstruction method for multi-contrast imaging and parameter mapping based on a union of local subspaces constraint is presented. Subspace constrained reconstructions use a predetermined subspace to explicitly constrain the relaxation signals. The choice of subspace size <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:mrow><mml:mo>(</mml:mo> <mml:mi>K</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:mrow> </mml:math> impacts the approximation error vs noise-amplification tradeoff associated with these methods. A different approach is used in the model consistency constraint (MOCCO) framework to leverage the subspace model to enforce a softer penalty. Our proposed method, MOCCO-LS, augments the MOCCO model with a union of local subspaces (LS) approach. The union of local subspaces model is coupled with spatial support constraints and incorporated into the MOCCO framework to regularize the contrast signals in the scene. The performance of the MOCCO-LS method was evaluated in vivo on T1 and T2 mapping of the human brain and with Monte-Carlo simulations and compared against MOCCO and the explicit subspace constrained models. The results demonstrate a clear improvement in the multi-contrast images and pa...Continue Reading

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Citations

Jan 19, 2019·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Chenxi Hu, Dana C Peters
Apr 14, 2020·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Steven T WhitakerJeffrey A Fessler
Aug 30, 2020·Magnetic Resonance Imaging·Ruoxun ZiQin Qin
Sep 4, 2020·Magnetic Resonance Imaging·Zhiyang FuAli Bilgin

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