Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution

Xingfeng Li; Jie Tian; Xiaoxiang Wang; Jianping Dai; Lin Ai

doi:10.1117/12.536185

Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution

Xingfeng Li
, Jie Tian^*
, Xiaoxiang Wang
, Jianping Dai
, Lin Ai

^*Corresponding author for this work

CAS - Institute of Automation
Capital Medical University

Research output: Contribution to journal › Conference article › peer-review

Abstract

The aim of this study was to assess the validation of using the local density random walk (LDRW) function to correct the delayed and dispersed arterial input function (AIF) data derived from dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).Instead of using the gamma-variate function to smooth and extrapolate the AIF curves, we suggested a method which was based on diffusion with drift approach. Forty-seven AIF curves from ten patients were segmented to test the effectiveness of the proposed method. The results of the comparisons with the gamma-variate function showed that the LDRW distribution function may provide a new means for more accurate correction of AIF curves.

Original language	English
Pages (from-to)	550-557
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5369
DOIs	https://doi.org/10.1117/12.536185
State	Published - 2004
Externally published	Yes
Event	Medical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: 15 Feb 2004 → 17 Feb 2004

Keywords

Arterial input function
Cerebral blood flow
DSC-MRI
Local density random walk function

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10.1117/12.536185

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title = "Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution",

abstract = "The aim of this study was to assess the validation of using the local density random walk (LDRW) function to correct the delayed and dispersed arterial input function (AIF) data derived from dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).Instead of using the gamma-variate function to smooth and extrapolate the AIF curves, we suggested a method which was based on diffusion with drift approach. Forty-seven AIF curves from ten patients were segmented to test the effectiveness of the proposed method. The results of the comparisons with the gamma-variate function showed that the LDRW distribution function may provide a new means for more accurate correction of AIF curves.",

keywords = "Arterial input function, Cerebral blood flow, DSC-MRI, Local density random walk function",

author = "Xingfeng Li and Jie Tian and Xiaoxiang Wang and Jianping Dai and Lin Ai",

year = "2004",

doi = "10.1117/12.536185",

language = "英语",

volume = "5369",

pages = "550--557",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Medical Imaging 2004: Physiology, Function, and Structure from Medical Images ; Conference date: 15-02-2004 Through 17-02-2004",

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TY - JOUR

T1 - Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution

AU - Li, Xingfeng

AU - Tian, Jie

AU - Wang, Xiaoxiang

AU - Dai, Jianping

AU - Ai, Lin

PY - 2004

Y1 - 2004

N2 - The aim of this study was to assess the validation of using the local density random walk (LDRW) function to correct the delayed and dispersed arterial input function (AIF) data derived from dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).Instead of using the gamma-variate function to smooth and extrapolate the AIF curves, we suggested a method which was based on diffusion with drift approach. Forty-seven AIF curves from ten patients were segmented to test the effectiveness of the proposed method. The results of the comparisons with the gamma-variate function showed that the LDRW distribution function may provide a new means for more accurate correction of AIF curves.

AB - The aim of this study was to assess the validation of using the local density random walk (LDRW) function to correct the delayed and dispersed arterial input function (AIF) data derived from dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).Instead of using the gamma-variate function to smooth and extrapolate the AIF curves, we suggested a method which was based on diffusion with drift approach. Forty-seven AIF curves from ten patients were segmented to test the effectiveness of the proposed method. The results of the comparisons with the gamma-variate function showed that the LDRW distribution function may provide a new means for more accurate correction of AIF curves.

KW - Arterial input function

KW - Cerebral blood flow

KW - DSC-MRI

KW - Local density random walk function

UR - https://www.scopus.com/pages/publications/3042597543

U2 - 10.1117/12.536185

DO - 10.1117/12.536185

M3 - 会议文章

AN - SCOPUS:3042597543

SN - 0277-786X

VL - 5369

SP - 550

EP - 557

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Medical Imaging 2004: Physiology, Function, and Structure from Medical Images

Y2 - 15 February 2004 through 17 February 2004

ER -

Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution

Abstract

Keywords

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