Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image distortions caused by eddy current and patient motion have been two major sources of the mis-registration issues in diffusion tensor imaging (DTI). Numerous registration methods have been proposed to correct them. However, quality control of DTI remains an important issue, because we rarely report how much mis-registration existed and how well they were corrected. In this paper, we propose a method for quantitative reporting of DTI data quality. This registration method minimizes a cost function based on mean square tensor fitting errors. Registration with twelve-parameter full affine transformation is used. From the registration result, distortion and motion parameters are estimated. Because the translation parameters involve both eddy-current-induced image translation and the patient motion, by analyzing the transformation model, we separate them by removing the contributions that are linearly correlated with diffusion gradients. We define the metrics measuring the amounts of distortion, rotation, translation. We tested our method on a database with 64 subjects and found the statistics of each of metrics. Finally we demonstrate that how these statistics can be used for assessing the data quality quantitatively in several examples.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8314
DOIs
StatePublished - 2012
EventMedical Imaging 2012: Image Processing - San Diego, CA, United States
Duration: Feb 6 2012Feb 9 2012

Other

OtherMedical Imaging 2012: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/6/122/9/12

Fingerprint

Diffusion tensor imaging
Diffusion Tensor Imaging
tensors
Eddy currents
eddy currents
Statistics
statistics
Cost functions
Tensors
Quality control
quality control
Quality Control
Databases
costs
Costs and Cost Analysis
gradients
Data Accuracy

Keywords

  • Affine
  • Diffusion tensor imaging
  • Distortion
  • Eddy current
  • Motion
  • Registration

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Li, Y., Jiang, H., & Mori, S. (2012). Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI). In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 8314). [83141Y] https://doi.org/10.1117/12.911129

Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI). / Li, Yue; Jiang, Hangyi; Mori, Susumu.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8314 2012. 83141Y.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, Y, Jiang, H & Mori, S 2012, Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI). in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8314, 83141Y, Medical Imaging 2012: Image Processing, San Diego, CA, United States, 2/6/12. https://doi.org/10.1117/12.911129
Li Y, Jiang H, Mori S. Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI). In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8314. 2012. 83141Y https://doi.org/10.1117/12.911129
Li, Yue ; Jiang, Hangyi ; Mori, Susumu. / Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI). Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8314 2012.
@inproceedings{f508993ea054478db1f8d4e3984efa4d,
title = "Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI)",
abstract = "Image distortions caused by eddy current and patient motion have been two major sources of the mis-registration issues in diffusion tensor imaging (DTI). Numerous registration methods have been proposed to correct them. However, quality control of DTI remains an important issue, because we rarely report how much mis-registration existed and how well they were corrected. In this paper, we propose a method for quantitative reporting of DTI data quality. This registration method minimizes a cost function based on mean square tensor fitting errors. Registration with twelve-parameter full affine transformation is used. From the registration result, distortion and motion parameters are estimated. Because the translation parameters involve both eddy-current-induced image translation and the patient motion, by analyzing the transformation model, we separate them by removing the contributions that are linearly correlated with diffusion gradients. We define the metrics measuring the amounts of distortion, rotation, translation. We tested our method on a database with 64 subjects and found the statistics of each of metrics. Finally we demonstrate that how these statistics can be used for assessing the data quality quantitatively in several examples.",
keywords = "Affine, Diffusion tensor imaging, Distortion, Eddy current, Motion, Registration",
author = "Yue Li and Hangyi Jiang and Susumu Mori",
year = "2012",
doi = "10.1117/12.911129",
language = "English (US)",
isbn = "9780819489630",
volume = "8314",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI)

AU - Li, Yue

AU - Jiang, Hangyi

AU - Mori, Susumu

PY - 2012

Y1 - 2012

N2 - Image distortions caused by eddy current and patient motion have been two major sources of the mis-registration issues in diffusion tensor imaging (DTI). Numerous registration methods have been proposed to correct them. However, quality control of DTI remains an important issue, because we rarely report how much mis-registration existed and how well they were corrected. In this paper, we propose a method for quantitative reporting of DTI data quality. This registration method minimizes a cost function based on mean square tensor fitting errors. Registration with twelve-parameter full affine transformation is used. From the registration result, distortion and motion parameters are estimated. Because the translation parameters involve both eddy-current-induced image translation and the patient motion, by analyzing the transformation model, we separate them by removing the contributions that are linearly correlated with diffusion gradients. We define the metrics measuring the amounts of distortion, rotation, translation. We tested our method on a database with 64 subjects and found the statistics of each of metrics. Finally we demonstrate that how these statistics can be used for assessing the data quality quantitatively in several examples.

AB - Image distortions caused by eddy current and patient motion have been two major sources of the mis-registration issues in diffusion tensor imaging (DTI). Numerous registration methods have been proposed to correct them. However, quality control of DTI remains an important issue, because we rarely report how much mis-registration existed and how well they were corrected. In this paper, we propose a method for quantitative reporting of DTI data quality. This registration method minimizes a cost function based on mean square tensor fitting errors. Registration with twelve-parameter full affine transformation is used. From the registration result, distortion and motion parameters are estimated. Because the translation parameters involve both eddy-current-induced image translation and the patient motion, by analyzing the transformation model, we separate them by removing the contributions that are linearly correlated with diffusion gradients. We define the metrics measuring the amounts of distortion, rotation, translation. We tested our method on a database with 64 subjects and found the statistics of each of metrics. Finally we demonstrate that how these statistics can be used for assessing the data quality quantitatively in several examples.

KW - Affine

KW - Diffusion tensor imaging

KW - Distortion

KW - Eddy current

KW - Motion

KW - Registration

UR - http://www.scopus.com/inward/record.url?scp=84860739948&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84860739948&partnerID=8YFLogxK

U2 - 10.1117/12.911129

DO - 10.1117/12.911129

M3 - Conference contribution

AN - SCOPUS:84860739948

SN - 9780819489630

VL - 8314

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -