Adaptive Control Grid Interpolation of DTI Data

Ma, X.; LaConte, S.; Kadah, Y.; Frakes, D.; Yoganathan, A.; Hu, X.

by X. Ma, S. LaConte, Y. Kadah, D. Frakes, A. Yoganathan, X. Hu

Abstract:

Adaptive control grid interpolation (ACGI) follows structure in a 3D fashion, giving better accuracy and avoiding blurring compared with conventional interpolation techniques, and may be applicable to DTI data. To demonstrate this utility, ACGI was applied to DTI images acquired with 100% skip at 3T to derive DTI data in the skipped slices. The resultant fractional anisotropy (FA) in corpus callosum was compared with experimental data obtained without the gap. The results demonstrated that ACGI is robust for interpolating DTI data.

Reference:

abstract X. Ma, S. LaConte, Y. Kadah, D. Frakes, A. Yoganathan, X. Hu. Adaptive Control Grid Interpolation of DTI Data. In Proceedings 12th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Kyoto, page 1214, 2004. [bibtex]

Bibtex Entry:

@inproceedings{Kyoto1214,
   Author = {Ma, X. and LaConte, S. and Kadah, Y. and Frakes, D. and Yoganathan, A. and Hu, X.},
   Title ={Adaptive Control Grid Interpolation of {D}{T}{I} Data},
   BookTitle = {Proceedings 12th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Kyoto},
   Pages = {1214},
   Abstract = {Adaptive control grid interpolation (ACGI) follows structure in a 3D fashion, giving better accuracy and avoiding blurring compared with conventional interpolation techniques, and may be applicable to DTI data. To demonstrate this utility, ACGI was applied to DTI images acquired with 100% skip at 3T to derive DTI data in the skipped slices. The resultant fractional anisotropy (FA) in corpus callosum was compared with experimental data obtained without the gap. The results demonstrated that ACGI is robust for interpolating DTI data.},
 Keywords = {Kyoto1214},
   Year = {2004} }