Your browser doesn't support javascript.
loading
DTI-MR fingerprinting for rapid high-resolution whole-brain T1 , T2 , proton density, ADC, and fractional anisotropy mapping.
Cao, Xiaozhi; Liao, Congyu; Zhou, Zihan; Zhong, Zheng; Li, Zhitao; Dai, Erpeng; Iyer, Siddharth Srinivasan; Hannum, Ariel J; Yurt, Mahmut; Schauman, Sophie; Chen, Quan; Wang, Nan; Wei, Jintao; Yan, Yifan; He, Hongjian; Skare, Stefan; Zhong, Jianhui; Kerr, Adam; Setsompop, Kawin.
Afiliación
  • Cao X; Department of Radiology, Stanford University, Stanford, California, USA.
  • Liao C; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Zhou Z; Department of Radiology, Stanford University, Stanford, California, USA.
  • Zhong Z; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Li Z; Department of Radiology, Stanford University, Stanford, California, USA.
  • Dai E; Department of Radiology, Stanford University, Stanford, California, USA.
  • Iyer SS; Department of Radiology, Stanford University, Stanford, California, USA.
  • Hannum AJ; Department of Radiology, Stanford University, Stanford, California, USA.
  • Yurt M; Department of Radiology, Stanford University, Stanford, California, USA.
  • Schauman S; Department of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
  • Chen Q; Department of Radiology, Stanford University, Stanford, California, USA.
  • Wang N; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Wei J; Department of Radiology, Stanford University, Stanford, California, USA.
  • Yan Y; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • He H; Department of Radiology, Stanford University, Stanford, California, USA.
  • Skare S; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Zhong J; Department of Radiology, Stanford University, Stanford, California, USA.
  • Kerr A; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Setsompop K; Department of Radiology, Stanford University, Stanford, California, USA.
Magn Reson Med ; 91(3): 987-1001, 2024 Mar.
Article en En | MEDLINE | ID: mdl-37936313
PURPOSE: This study aims to develop a high-efficiency and high-resolution 3D imaging approach for simultaneous mapping of multiple key tissue parameters for routine brain imaging, including T1 , T2 , proton density (PD), ADC, and fractional anisotropy (FA). The proposed method is intended for pushing routine clinical brain imaging from weighted imaging to quantitative imaging and can also be particularly useful for diffusion-relaxometry studies, which typically suffer from lengthy acquisition time. METHODS: To address challenges associated with diffusion weighting, such as shot-to-shot phase variation and low SNR, we integrated several innovative data acquisition and reconstruction techniques. Specifically, we used M1-compensated diffusion gradients, cardiac gating, and navigators to mitigate phase variations caused by cardiac motion. We also introduced a data-driven pre-pulse gradient to cancel out eddy currents induced by diffusion gradients. Additionally, to enhance image quality within a limited acquisition time, we proposed a data-sharing joint reconstruction approach coupled with a corresponding sequence design. RESULTS: The phantom and in vivo studies indicated that the T1 and T2 values measured by the proposed method are consistent with a conventional MR fingerprinting sequence and the diffusion results (including diffusivity, ADC, and FA) are consistent with the spin-echo EPI DWI sequence. CONCLUSION: The proposed method can achieve whole-brain T1 , T2 , diffusivity, ADC, and FA maps at 1-mm isotropic resolution within 10 min, providing a powerful tool for investigating the microstructural properties of brain tissue, with potential applications in clinical and research settings.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos