Deep learning in medical image registration: a review
This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …
methods. We summarized the latest developments and applications of DL-based registration …
Weakly supervised machine learning
Supervised learning aims to build a function or model that seeks as many map**s as
possible between the training data and outputs, where each training data will predict as a …
possible between the training data and outputs, where each training data will predict as a …
Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211
Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …
Respiratory motion in positron emission tomography/computed tomography: a review
SA Nehmeh, YE Erdi - Seminars in nuclear medicine, 2008 - Elsevier
The development of positron emission tomography/computed tomography (PET/CT)
scanners has allowed not only straightforward but also synergistic fusion of anatomical and …
scanners has allowed not only straightforward but also synergistic fusion of anatomical and …
Motion estimation and correction in SPECT, PET and CT
Patient motion impacts single photon emission computed tomography (SPECT), positron
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …
The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging
Our aim is to investigate the impact of respiratory motion on tumor quantification and
delineation in static PET/CT imaging using a population of patient respiratory traces. A total …
delineation in static PET/CT imaging using a population of patient respiratory traces. A total …
Towards enhanced PET quantification in clinical oncology
Positron emission tomography (PET) has, since its inception, established itself as the
imaging modality of choice for the in vivo quantitative assessment of molecular targets in a …
imaging modality of choice for the in vivo quantitative assessment of molecular targets in a …
List-mode-based reconstruction for respiratory motion correction in PET using non-rigid body transformations
Respiratory motion in emission tomography leads to reduced image quality. Developed
correction methodology has been concentrating on the use of respiratory synchronized …
correction methodology has been concentrating on the use of respiratory synchronized …
MRI-based nonrigid motion correction in simultaneous PET/MRI
Respiratory and cardiac motion is the most serious limitation to whole-body PET, resulting in
spatial resolution close to 1 cm. Furthermore, motion-induced inconsistencies in the …
spatial resolution close to 1 cm. Furthermore, motion-induced inconsistencies in the …
Advances in 4D medical imaging and 4D radiation therapy
This paper reviews recent advances in 4D medical imaging (4DMI) and 4D radiation therapy
(4DRT), which study, characterize, and minimize patient motion during the processes of …
(4DRT), which study, characterize, and minimize patient motion during the processes of …