2006
DOI: 10.1002/mrm.21016
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of self‐reference thermometry using complex field estimation

Abstract: Referenceless, or self-reference, thermometry is a technique for mapping temperature differences in the region of interest (ROI) using the baseline phase estimated by extrapolating the field in the surrounding region for estimation (RFE) and subtracting the estimated baseline from the measured field. In the present work a self-reference technique based on complex field estimation using 2D polynomials comprising complex-valued coefficients was proposed and optimized. Numerical simulations with a Gaussian-profil… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
62
0

Year Published

2008
2008
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 57 publications
(62 citation statements)
references
References 12 publications
0
62
0
Order By: Relevance
“…One approach, called referenceless thermometry or self-referenced thermometry, tries to estimate the heating from every individual image itself, without a preheating reference scan. The background phase inside the heating region is estimated by fitting a polynomial function to the un-wrapped background phase (98) or a complex valued polynomial (99) to the complex image outside the heating region using a weighted least-squares fit. The extrapolation of the polynomial to the heated region serves as the background phase estimate, which is then subtracted from the actual phase.…”
Section: Prf Thermometry and Motionmentioning
confidence: 99%
“…One approach, called referenceless thermometry or self-referenced thermometry, tries to estimate the heating from every individual image itself, without a preheating reference scan. The background phase inside the heating region is estimated by fitting a polynomial function to the un-wrapped background phase (98) or a complex valued polynomial (99) to the complex image outside the heating region using a weighted least-squares fit. The extrapolation of the polynomial to the heated region serves as the background phase estimate, which is then subtracted from the actual phase.…”
Section: Prf Thermometry and Motionmentioning
confidence: 99%
“…Based on a region unaffected by thermal changes or a region unaffected by a thermal phase shift (fat) around the region of interest for thermal monitoring, the background phase information is fitted by a polynomial function (23,49,80,81). Using a reweighted regression even regions affected by thermal changes can be used to estimate the background phase (82).…”
Section: Motionmentioning
confidence: 99%
“…Some schemes called referenceless PRF thermometry, or self-reference methods have been devised and optimized to overcome this problem (17,29), in which the baseline phase of the heated ROI is estimated by extrapolating the phase in the surrounding tissue. Subtracting the estimated baseline phase from the actual phase under heated condition, the temperature distribution in the heated region can be obtained.…”
Section: Discussionmentioning
confidence: 99%
“…For example, Botnar et al used the PRF technique to acquire and generate temperature maps after radio frequency (RF) ablation with an open 0.5T MRI system under ex vivo and in vivo conditions (16), and Kuroda et al developed a self-reference thermometry technique using complex field estimation and optimized the technique for 0.5T (17). The developments and applications of temperature mapping have been mostly done at 1.5T and 3T (15,(18)(19)(20).…”
Section: Introductionmentioning
confidence: 99%