3D imaging using magnetic resonance tomosynthesis (MRT) technique

Min Oh Kim, Sang Young Zho, Dong Hyun Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To introduce an alternative approach to three-dimensional (3D) magnetic resonance (MR) imaging using a method that is similar to x-ray tomosynthesis. Methods: Variable angle tilted-projection images are acquired using a multiple-oblique view (MOV) pulse sequence. Reconstruction is performed using three methods similar to that of x-ray tomosynthesis, which generate a set of tomographic images with multiple 2D projection images. The reconstruction algorithm is further modified to reformat to the practical imaging situations of MR. The procedure is therefore termed magnetic resonance tomosynthesis (MRT). To analyze the characteristics of MRT, simulations are performed. Phantom and in vivo experiments were done to suggest potential applications. Results: Simulation results show anisotropic features that are structurally dependent in terms of resolution. Partial blurrings along slice direction were observed. In phantom and in vivo experiments, the reconstruction performance is particularly noticeable in the low SNR case where improved images with lower noise are obtained. Reformatted reconstruction using thinner slice thickness andor extended field-of-view can increase spatial resolution partially and alleviate slice profile imperfection. Conclusions: Results demonstrate that MRT can generate adequate 3D images using the MOV images. Various reconstruction methods in tomosynthesis were readily adapted, while allowing other tomosynthesis reconstruction algorithms to be incorporated. A reformatted reconstruction process was incorporated for applications relevant to MR imaging.

Original languageEnglish
Pages (from-to)4733-4741
Number of pages9
JournalMedical physics
Volume39
Issue number8
DOIs
Publication statusPublished - 2012 Aug

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MEST) (No. 2011-0002495) and by the Ministry of Knowledge Economy (MKE) and Korea Institute for Advancement in Technology (KIAT) through the Workforce Development Program in Strategic Technology.

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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