Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques
M Selles, JAC van Osch, M Maas, MF Boomsma… - European Journal of …, 2024 - Elsevier
Metal artifacts degrade CT image quality, hampering clinical assessment. Numerous metal
artifact reduction methods are available to improve the image quality of CT images with …
artifact reduction methods are available to improve the image quality of CT images with …
DOLCE: A model-based probabilistic diffusion framework for limited-angle ct reconstruction
Abstract Limited-Angle Computed Tomography (LACT) is a non-destructive 3D imaging
technique used in a variety of applications ranging from security to medicine. The limited …
technique used in a variety of applications ranging from security to medicine. The limited …
DIOR: Deep iterative optimization-based residual-learning for limited-angle CT reconstruction
Limited-angle CT is a challenging problem in real applications. Incomplete projection data
will lead to severe artifacts and distortions in reconstruction images. To tackle this problem …
will lead to severe artifacts and distortions in reconstruction images. To tackle this problem …
Iterative residual optimization network for limited-angle tomographic reconstruction
Limited-angle tomographic reconstruction is one of the typical ill-posed inverse problems,
leading to edge divergence with degraded image quality. Recently, deep learning has been …
leading to edge divergence with degraded image quality. Recently, deep learning has been …
DuDoTrans: dual-domain transformer for sparse-view CT reconstruction
Abstract While Computed Tomography (CT) is necessary for clinical diagnosis, ionizing
radiation in the imaging process induces irreversible injury, thereby driving researchers to …
radiation in the imaging process induces irreversible injury, thereby driving researchers to …
DuDoTrans: dual-domain transformer provides more attention for sinogram restoration in sparse-view CT reconstruction
While Computed Tomography (CT) reconstruction from X-ray sinograms is necessary for
clinical diagnosis, iodine radiation in the imaging process induces irreversible injury …
clinical diagnosis, iodine radiation in the imaging process induces irreversible injury …
A review of deep learning ct reconstruction from incomplete projection data
Computed tomography (CT) is a widely used imaging technique in both medical and
industrial applications. However, accurate CT reconstruction requires complete projection …
industrial applications. However, accurate CT reconstruction requires complete projection …
DuDoUFNet: dual-domain under-to-fully-complete progressive restoration network for simultaneous metal artifact reduction and low-dose CT reconstruction
To reduce the potential risk of radiation to the patient, low-dose computed tomography
(LDCT) has been widely adopted in clinical practice for reconstructing cross-sectional …
(LDCT) has been widely adopted in clinical practice for reconstructing cross-sectional …
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images
During the computed tomography (CT) imaging process, metallic implants within patients
often cause harmful artifacts, which adversely degrade the visual quality of reconstructed CT …
often cause harmful artifacts, which adversely degrade the visual quality of reconstructed CT …