Results 51 to 60 of about 13,315 (215)
Respirology Case Reports, Volume 14, Issue 4, April 2026.We report a case of contrast‐enhanced cone‐beam computed tomography (CBCT)‐guided robotic bronchoscopic biopsy of a high mediastinal lymph node adjacent to major vessels. Intravenous contrast during CBCT acquisition enabled clear differentiation between the target node and adjacent vascular structures, facilitating accurate segmentation, safe ...
Tajalli Saghaie +5 more
wiley +1 more source
Imaging Artifacts on Synthesized Mammogram: What a Radiologist should Know!
Indian Journal of Radiology and Imaging, 2022 Synthesized mammogram is a new technique that involves reconstruction of a two-dimensional (2D) image from the tomosynthesis images rather than separate acquisition of a standard 2D mammogram.
Shrea Gulati, Ekta Dhamija, Roshni Anand
doaj +1 more source
Quantifying the Tibiofemoral Joint Space Using X-ray Tomosynthesis [PDF]
, 2011 Purpose: Digital x-ray tomosynthesis (DTS) has the potential to provide 3D information about the knee joint in a load-bearing posture, which may improve diagnosis and monitoring of knee osteoarthritis compared with projection radiography, the current ...
Heckel, Beth +4 more
core +1 more source
Models of breast lesions based on three-dimensional X-ray breast images [PDF]
, 2018 This paper presents a method for creation of computational models of breast lesions with irregular shapes from patient Digital Breast Tomosynthesis (DBT) images or breast cadavers and whole-body Computed Tomography (CT) images.
Bliznakov, Zhivko +8 more
core +1 more source
Tomosynthesis in musculoskeletal pathology
Diagnostic and Interventional Imaging, 2018 Tomosynthesis is an imaging technique that uses standard X-ray equipment with digital flat panel detectors to create tomographic images from very low-dose projections obtained at different angles. These images are parallel to the plane of the detector.
A, Blum +5 more
openaire +2 more sources
Elastographic Tomosynthesis From X-Ray Strain Imaging of Breast Cancer
IEEE Journal of Translational Engineering in Health and Medicine, 2019 Noncancerous breast tissue and cancerous breast tissue have different elastic properties. In particular, cancerous breast tumors are stiff when compared to the noncancerous surrounding tissue.
Corey Sutphin +5 more
doaj +1 more source
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study. [PDF]
, 2019 BackgroundTo determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density measures.MethodsFull-field digital ...
Fan, Bo +9 more
core +1 more source
Journal of Medical Radiation Sciences, Volume 73, Issue 1, Page 7-18, March 2026.This scoping review examined models estimating long‐term radiation risks from repeated mammography screening. While modelling indicates the risks are low, approaches vary by protocol and vendor. Emerging AI tools show promise for improving personalised risk estimation, though further development is needed for cross‐platform compatibility.
Nazli A. Moda +3 more
wiley +1 more source
Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU
Journal of Biomedical Physics and Engineering, 2015 Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems.
Arefan D +3 more
doaj
Numerical methods for coupled reconstruction and registration in digital breast tomosynthesis. [PDF]
, 2013 Digital Breast Tomosynthesis (DBT) provides an insight into the fine details of normal fibroglandular tissues and abnormal lesions by reconstructing a pseudo-3D image of the breast.
Arridge, S +3 more
core +1 more source