ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach

Abhinav K. Jha; Matthew A. Kupinski; Jeffrey J. Rodríguez; Renu M. Stephen; Alison T. Stopeck

doi:10.1109/SSIAI.2010.5483880

ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach

Abhinav K. Jha, Matthew A. Kupinski, Jeffrey J. Rodríguez, Renu M. Stephen, Alison T. Stopeck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

In recent years, the apparent diffusion coefficient (ADC) of lesions obtained using diffusion-weighted magnetic resonance imaging (DWMRI) has emerged as a potentially novel non-invasive imaging bio-marker for prediction and monitoring of anti-cancer therapy response. However, the motion in visceral organs and different variances in DWMRI measurements at different magnetic diffusion gradient values can make ADC estimation a challenging task. We propose a maximum-likelihood method for ADC estimation of lesions in DWMRI. We show through simulations that our method outperforms the standard linear-least-squares and diffusion-map methods.

Original language	English (US)
Title of host publication	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
Pages	209-212
Number of pages	4
DOIs	https://doi.org/10.1109/SSIAI.2010.5483880
State	Published - 2010
Externally published	Yes
Event	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Austin, TX, United States Duration: May 23 2010 → May 25 2010

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Other

Other	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
Country/Territory	United States
City	Austin, TX
Period	5/23/10 → 5/25/10

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/SSIAI.2010.5483880

Cite this

Jha, A. K., Kupinski, M. A., Rodríguez, J. J., Stephen, R. M., & Stopeck, A. T. (2010). ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach. In 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings (pp. 209-212). Article 5483880 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). https://doi.org/10.1109/SSIAI.2010.5483880

ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach. / Jha, Abhinav K.; Kupinski, Matthew A.; Rodríguez, Jeffrey J. et al.
2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings. 2010. p. 209-212 5483880 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jha, AK, Kupinski, MA, Rodríguez, JJ, Stephen, RM & Stopeck, AT 2010, ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach. in 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings., 5483880, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 209-212, 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010, Austin, TX, United States, 5/23/10. https://doi.org/10.1109/SSIAI.2010.5483880

Jha AK, Kupinski MA, Rodríguez JJ, Stephen RM, Stopeck AT. ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach. In 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings. 2010. p. 209-212. 5483880. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). doi: 10.1109/SSIAI.2010.5483880

@inproceedings{fe45c8ea5380417dbbd8e502bb39adf0,

title = "ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach",

abstract = "In recent years, the apparent diffusion coefficient (ADC) of lesions obtained using diffusion-weighted magnetic resonance imaging (DWMRI) has emerged as a potentially novel non-invasive imaging bio-marker for prediction and monitoring of anti-cancer therapy response. However, the motion in visceral organs and different variances in DWMRI measurements at different magnetic diffusion gradient values can make ADC estimation a challenging task. We propose a maximum-likelihood method for ADC estimation of lesions in DWMRI. We show through simulations that our method outperforms the standard linear-least-squares and diffusion-map methods.",

author = "Jha, {Abhinav K.} and Kupinski, {Matthew A.} and Rodr{\'i}guez, {Jeffrey J.} and Stephen, {Renu M.} and Stopeck, {Alison T.}",

year = "2010",

doi = "10.1109/SSIAI.2010.5483880",

language = "English (US)",

isbn = "9781424478026",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

pages = "209--212",

booktitle = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings",

note = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 ; Conference date: 23-05-2010 Through 25-05-2010",

}

TY - GEN

T1 - ADC estimation of lesions in diffusion-weighted MR images

T2 - 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010

AU - Jha, Abhinav K.

AU - Kupinski, Matthew A.

AU - Rodríguez, Jeffrey J.

AU - Stephen, Renu M.

AU - Stopeck, Alison T.

PY - 2010

Y1 - 2010

N2 - In recent years, the apparent diffusion coefficient (ADC) of lesions obtained using diffusion-weighted magnetic resonance imaging (DWMRI) has emerged as a potentially novel non-invasive imaging bio-marker for prediction and monitoring of anti-cancer therapy response. However, the motion in visceral organs and different variances in DWMRI measurements at different magnetic diffusion gradient values can make ADC estimation a challenging task. We propose a maximum-likelihood method for ADC estimation of lesions in DWMRI. We show through simulations that our method outperforms the standard linear-least-squares and diffusion-map methods.

AB - In recent years, the apparent diffusion coefficient (ADC) of lesions obtained using diffusion-weighted magnetic resonance imaging (DWMRI) has emerged as a potentially novel non-invasive imaging bio-marker for prediction and monitoring of anti-cancer therapy response. However, the motion in visceral organs and different variances in DWMRI measurements at different magnetic diffusion gradient values can make ADC estimation a challenging task. We propose a maximum-likelihood method for ADC estimation of lesions in DWMRI. We show through simulations that our method outperforms the standard linear-least-squares and diffusion-map methods.

UR - http://www.scopus.com/inward/record.url?scp=77954786385&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954786385&partnerID=8YFLogxK

U2 - 10.1109/SSIAI.2010.5483880

DO - 10.1109/SSIAI.2010.5483880

M3 - Conference contribution

AN - SCOPUS:77954786385

SN - 9781424478026

T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

SP - 209

EP - 212

BT - 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings

Y2 - 23 May 2010 through 25 May 2010

ER -

ADC estimation of lesions in diffusion-weighted MR images: A maximum-likelihood approach

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this