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Maximum intensity projection (MIP) imaging using slice-stacking MRIa).

Publication ,  Journal Article
Adamson, J; Chang, Z; Wang, Z; Yin, F-F; Cai, J
Published in: Med Phys
November 2010

PURPOSE: To evaluate the feasibility of acquiring maximum intensity projection (MIP) images using a novel slice-stacking MRI (SS-MRI) technique. METHODS: The proposed technique employed a steady state acquisition sequence to image multiple axial slices. At each axial slice, the scan is repeated throughout one respiratory cycle. Four objects (small, medium, and large triangles, and a cylinder) moving with a patient breathing trajectory were imaged repeatedly for six times using the slice-stacking MRI and 4D-CT.MIPSS-MRI and MIP4D-CT were reconstructed. The internal target volume (ITV) was segmented for each object on the six scans and compared between MIPSS-MRI and MIP4D-CT. The medium triangle was also imaged with various motion patterns using slice-stacking MRI, 4D-CT, and sagittal cine-MRI. The corresponding MIP images were reconstructed and volume/area measurements were performed and compared between different imaging methods. Three healthy volunteers underwent the slice-stacking MRI and sagittal cine-MRI scans. A region of interest (ROI) was selected and contoured for each subject in both MIPSS-MRI and MIPcine-MRI. The area of the selected ROI was computed and compared. RESULTS: Volume comparison betweenMIPSS-MRI and MIP4D-CT showed statistically insignificant (p>0.05 in all cases) difference in the mean ITVs for all four objects. For the study of the medium triangle with multiple motion patterns, there was a good agreement in the measured ITVs between MIPSS-MRI and MIP4D-CT (p=0.46, correlation coefficient=0.91), with a mean difference of 1.4%±4.4%. The area measurements between MIPSS-MRI and MIPcine-MRI also showed good agreement (p=0.47, correlation coefficient=0.97), with a mean difference of 0.2%±2.9%. For the healthy volunteer study, the average difference in the area of selected ROI was -2.5%±2.5% between MIPSS-MRI and MIPcine-MRI. CONCLUSIONS: These preliminary results showed good agreement in volume/area measurements between the slice-stacking MRI technique and 4D-CT/cine-MRI, indicating that it is feasible to use this technique for MIP imaging.

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Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

November 2010

Volume

37

Issue

11

Start / End Page

5914 / 5920

Location

United States

Related Subject Headings

  • Time Factors
  • Reproducibility of Results
  • Radiotherapy Planning, Computer-Assisted
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
 

Citation

APA
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MLA
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Adamson, J., Chang, Z., Wang, Z., Yin, F.-F., & Cai, J. (2010). Maximum intensity projection (MIP) imaging using slice-stacking MRIa). Med Phys, 37(11), 5914–5920. https://doi.org/10.1118/1.3503850
Adamson, Justus, Zheng Chang, Zhiheng Wang, Fang-Fang Yin, and Jing Cai. “Maximum intensity projection (MIP) imaging using slice-stacking MRIa).Med Phys 37, no. 11 (November 2010): 5914–20. https://doi.org/10.1118/1.3503850.
Adamson J, Chang Z, Wang Z, Yin F-F, Cai J. Maximum intensity projection (MIP) imaging using slice-stacking MRIa). Med Phys. 2010 Nov;37(11):5914–20.
Adamson, Justus, et al. “Maximum intensity projection (MIP) imaging using slice-stacking MRIa).Med Phys, vol. 37, no. 11, Nov. 2010, pp. 5914–20. Pubmed, doi:10.1118/1.3503850.
Adamson J, Chang Z, Wang Z, Yin F-F, Cai J. Maximum intensity projection (MIP) imaging using slice-stacking MRIa). Med Phys. 2010 Nov;37(11):5914–5920.

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

November 2010

Volume

37

Issue

11

Start / End Page

5914 / 5920

Location

United States

Related Subject Headings

  • Time Factors
  • Reproducibility of Results
  • Radiotherapy Planning, Computer-Assisted
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans