Impact of Time-of-Flight on Respiratory Motion Modelling using Non-Attenuation-Corrected PET

Whitehead, Alexander C.; Emond, Elise; Efthimiou, Nikos; Akintonde, Adeyemi; Wollenweber, Scott W.; Stearns, C.W.; Hutton, Brian F.; McClelland, Jamie R.; Thielemans, Kris

doi:10.1109/nss/mic42101.2019.9059812

Cited by 3 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the advantages of using a MM approach over pair-wise registering the data is that the MM approach is more robust to noise in the images. We found that NAC Time-of-Flight (TOF) PET was suitable to estimate the motion from gated PET data without inter-respiratory cycle variation [5]. This work extends the method towards attenuation correction with a single Mu-Map (from any position).…”

mentioning

confidence: 89%

PET/CT Respiratory Motion Correction With a Single Attenuation Map Using NAC Derived Deformation Fields

Whitehead

Biguri

Efthimiou

et al. 2020

2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

Self Cite

View full text Add to dashboard Cite

Respiratory motion correction is beneficial in positron emission tomography. Different strategies for handling attenuation correction in conjunction with motion correction exist. In clinical practice, usually a single attenuation map is available, derived from computed tomography in one respiratory state. This can introduce an unwanted bias (through misaligned anatomy) into the motion correction algorithm. This paper builds upon previous work which suggested that non-attenuation corrected data was suitable for motion estimation, through the use of motion models, if time-of-flight data are available. Here, the previous work is expanded upon by incorporating attenuation correction in an iterative process. Non-attenuation corrected volumes are reconstructed using ordered subset expectation maximisation and used as input for motion model estimation. A single attenuation map is then warped to the volumes, using the motion model, the volumes are attenuation corrected, after which another motion estimation and correction cycle is performed. For validation, 4-Dimensional Extended Cardiac Torso simulations are used, for one bed position, with a field of view including the base of the lungs and the diaphragm. The output from the proposed method is evaluated against a non-motion corrected reconstruction of the same data visually, using a profile as well as standardised uptake value analysis. Results indicate that motion correction of inter-respiratory cycle motion is possible with this method, while accounting for attenuation deformation.

show abstract

mentioning

confidence: 89%

PET/CT Respiratory Motion Correction With a Single Attenuation Map Using NAC Derived Deformation Fields

Whitehead

Biguri

Efthimiou

et al. 2020

2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our previous work [5]- [7], the possibility of incorporating MMs, in a MC framework, for Non-Attenuation Corrected (NAC) Time-of-Flight (TOF) PET, where the reference was set to the position of a breath hold Attenuation Map (Mu-Map), was investigated. Our preliminary experiments indicated that the combination of both the MM and TOF, allowed for an Attenuation Corrected (AC) reconstruction with MC, without introducing artefacts, while increasing resolution and quantification accuracy (for simulations with high TOF resolution and count levels).…”

Section: Introductionmentioning

confidence: 99%

PET/CT Motion Correction Exploiting Motion Models Fit on Coarsely Gated Data Applied to Finely Gated Data

Whitehead,

Su,

Wollenweber

et al. 2022

2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

Self Cite

View full text Add to dashboard Cite

Motion correction is imperative to the reduction of blurring and artefacts inherent in PET; due to the relatively long acquisition time, and the temporal difference in the attenuation map acquisition. Registration literature contains many examples of spatial regularisers, however there are few temporal regularisers. Motion models can act as such a temporal regulariser, as well as allowing for the interpolation of unseen motion correction results. In our previous work, we applied a motion modelling approach to high TOF resolution non-attenuation corrected data; where the data was corrected to the space of the attenuation map. However, this approach was challenging, especially when low contrast lung tumours are present. This work seeks to extend previous work, by incorporating an approach suggested by Y. Lu et al. (JNM 2018), to perform an initial MLACF reconstruction for the motion estimation. In this work, we combine these two approaches, with several improvements, including; µ-map alignment, as well as, fitting the motion model on low noise low temporal/gate resolution data, and applying it to high noise high temporal/gate resolution data. To test this, Manuscript

show abstract

“…In previous work, the possibility of using MMs to MC Non-Attenuation Corrected (NAC) Time-of-Flight (TOF) PET, and warp a Attenuation Map (Mu-Map) from a position close to the mean respiratory position to each gate, was investigated. It was found that the combination of both the MM and TOF was sufficient to perform an Attenuation Corrected (AC) reconstruction with MC, without introducing artefacts, while increasing resolution and quantification accuracy [8], [9]. This work seeks to extend the method further through the use of a more modular framework, which allows for the fair comparison of different registration methods, both with and without MMs.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Motion Correction Methods Incorporating Motion Modelling for PET/CT Using a Single Breath Hold Attenuation Map

Whitehead

Biguri

Su³

et al. 2021

2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

View full text Add to dashboard Cite

Introducing motion models into respiratory motion correction methods can lead to a reduction in blurring and artefacts. However, the pool of research where motion modelling methods are applied to combined positron emission tomography and computed tomography is relatively shallow. Previous work used non-attenuation corrected time-of-flight data to fit motion models, not only to motion correct the volumes themselves, but also to warp a single attenuation map to the positions of the initial gated data. This work seeks to extend previous work to offer a comparison of respiratory motion correction methods, not only with and without motion models, but also to compare pair-wise and group-wise registration techniques, on simulation data, in a low count scenario, where the attenuation map is from a pseudo-breath hold acquisition. To test the methods, 4-Dimensional Extended Cardiac Torso images are constructed, simulated and reconstructed without attenuation correction, then motion corrected using one of pair-wise, pair-wise with motion model, group-wise and group-wise with motion model registration. Next these motion corrected volumes are registered to the breath hold attenuation map. The positron emission tomography data are then reconstructed using deformed attenuation maps and motion corrected. Evaluation compares the results of these methods against non-motion corrected and motion free examples. Results indicate that the incorporation of motion models and group-wise registration, improves contrast and quantification.

show abstract

Impact of Time-of-Flight on Respiratory Motion Modelling using Non-Attenuation-Corrected PET

Cited by 3 publications

References 13 publications

PET/CT Respiratory Motion Correction With a Single Attenuation Map Using NAC Derived Deformation Fields

PET/CT Respiratory Motion Correction With a Single Attenuation Map Using NAC Derived Deformation Fields

PET/CT Motion Correction Exploiting Motion Models Fit on Coarsely Gated Data Applied to Finely Gated Data

Comparison of Motion Correction Methods Incorporating Motion Modelling for PET/CT Using a Single Breath Hold Attenuation Map

Contact Info

Product

Resources

About