1999
DOI: 10.1109/23.790811
|View full text |Cite
|
Sign up to set email alerts
|

Application of the Karhunen-Loeve transform to 4D reconstruction of cardiac gated SPECT images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
14
0

Year Published

2001
2001
2021
2021

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 45 publications
(14 citation statements)
references
References 13 publications
0
14
0
Order By: Relevance
“…For instance, to account for detector efficiency, attenuation, and random events (or accidentals), Wernick et al [3]- [5] propose a weighted least squares measure. The quadratic nature of the resulting objective function makes the conjugate gradient minimization algorithm particularly appropriate, which is, in fact, used in [3]- [5].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, to account for detector efficiency, attenuation, and random events (or accidentals), Wernick et al [3]- [5] propose a weighted least squares measure. The quadratic nature of the resulting objective function makes the conjugate gradient minimization algorithm particularly appropriate, which is, in fact, used in [3]- [5].…”
Section: Introductionmentioning
confidence: 99%
“…In [1] and [2], the time sequence of gated three-dimensional (3-D) frames was viewed as a four-dimensional (4-D) image and reconstructed using a penalized maximum-likelihood (ML) technique with space-time Gibbs priors to ensure smoothness in individual images and between frames. An alternative technique based on principal component analysis was developed in [3]- [5]. In that method, the Karhunen-Loeve (KL) transformation was applied to the time sequence of gated data sets, and the KL-transformed images were then rapidly constructed frame-by-frame.…”
Section: Introductionmentioning
confidence: 99%
“…Alternative image reconstruction techniques based on principal component analysis were developed in [3]- [6]. In [3]- [5], the Karhunen-Loeve (KL) transformation was applied to the temporal sequence of gated projections, and a small number of KL-transformed images were rapidly computed frame-byframe. Finally, the gated frames were obtained by applying the inverse KL transform.…”
Section: Introductionmentioning
confidence: 99%
“…We conclude this section by noting that even though the aforementioned approach is originally designed for imaging of motion-free objects, it has been shown to work very well in reconstructing cardiac image sequences as well, 23 and this is hypothesized 22 to be the case because the principal component model is able to capture the motion information in the form of motion-induced temporal fluctuations of the signal.…”
Section: Principal Component Transformation Of the Dynamic Datamentioning
confidence: 99%