Synthetic lumbar MRI can aid in diagnosis and treatment strategies based on self-pix networks
K Song, W Zhu, Z Zhang, B Liu, M Zhang, T Tang… - Scientific Reports, 2024 - nature.com
CT and MR tools are commonly used to diagnose lumbar fractures (LF). However, numerous
limitations have been found in practice. The aims of this study were to innovate and develop …
limitations have been found in practice. The aims of this study were to innovate and develop …
Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images
Background In radiotherapy, 2D orthogonally projected kV images are used for patient
alignment when 3D-on-board imaging (OBI) is unavailable. However, tumor visibility is …
alignment when 3D-on-board imaging (OBI) is unavailable. However, tumor visibility is …
Spinal Lesion Detection in X-ray Images via Edge Guidance and Context Aggregation
Spinal diseases typically cause serious consequences such as limited mobility and nerve
damage, making accurate diagnosis clinically important for effective treatment. X-ray …
damage, making accurate diagnosis clinically important for effective treatment. X-ray …
PARNet: Aortic Reconstruction from Orthogonal X-Rays Using Pre-trained Generative Adversarial Networks
C Cao, J Zhang, Y Gao, Z Li - Proceedings of the Asian …, 2024 - openaccess.thecvf.com
The three-dimensional reconstruction of the aorta plays a crucial role in assisting minimally
invasive vascular interventions to treat coronary artery disease, aiding surgeons in finding …
invasive vascular interventions to treat coronary artery disease, aiding surgeons in finding …
Reconstruction method suitable for fast CT imaging
X Sun, Y Li, Y Li, S Wang, Y Qin, P Chen - Optics Express, 2024 - opg.optica.org
Reconstructing computed tomography (CT) images from an extremely limited set of
projections is crucial in practical applications. As the available projections significantly …
projections is crucial in practical applications. As the available projections significantly …
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Expert radiologists visually scan Chest X-Ray (CXR) images, sequentially fixating on
anatomical structures to perform disease diagnosis. An automatic multilabel classifier of …
anatomical structures to perform disease diagnosis. An automatic multilabel classifier of …
Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images
In radiotherapy, 2D orthogonally projected kV images are used for patient alignment when
3D-on-board imaging (OBI) unavailable. But tumor visibility is constrained due to the …
3D-on-board imaging (OBI) unavailable. But tumor visibility is constrained due to the …
DuoLift-GAN: Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks
Z Zhang, Y Ying - arxiv preprint arxiv:2411.07941, 2024 - arxiv.org
Computed tomography (CT) provides highly detailed three-dimensional (3D) medical
images but is costly, time-consuming, and often inaccessible in intraoperative settings …
images but is costly, time-consuming, and often inaccessible in intraoperative settings …
SGX2CT: Self-part Guided 3D CT and Spine Model Reconstruction from Biplanar Lumbar X-rays
Computed tomography (CT) imaging, characterized by its high contrast sensitivity and
spatial resolution, provides detailed insights into a patient's internal anatomical structures …
spatial resolution, provides detailed insights into a patient's internal anatomical structures …
Automated Detection of Osteoporosis Using X-Ray Image Based on Optimized Recurrent Neural Network and Context Encoder Network
Loss of bone mineral density (BMD) is the primary cause of osteoporosis, a prevalent
skeletal condition. In the healthcare industry, inefficiencies are typically caused by a degree …
skeletal condition. In the healthcare industry, inefficiencies are typically caused by a degree …