Chest digital tomosynthesis CDT is the evolution of the technique of geometric tomography, which was used extensively prior to the advent of chest CT scans but that was no more used for chest imaging owing to the positioning difficulty, high radiation dose, and residual blur caused by out of plane structure.
A review article published from our laboratory in describes in greater detail the history, mathematics, and reconstruction methodologies of tomosynthesis imaging Due to the limited acquisition angle of CDT, it has the potential to significantly increase the temporal resolution of patient surveillance at the cost of reduced resolution 7.
This technique quite effectively reduces visual distraction from overlying bone and can improve lung nodule detection. This limitation makes detection of smaller lesions, particularly small lung cancers, quite difficult. Further, numerous disease processes must be consistently depicted, including malignancy, infection, interstitial lung disease, airway disease, chest trauma and, in the intensive care unit, placement of support devices.
Recently it has been proven that a sparse image can be reconstructed from an undersampled data set via total variation TV method [ 1011 ]. Abstract Digital breast tomosynthesis DBT is an innovative imaging modality that provides 3D reconstructed images of breast to detect the breast cancer.
First of all it was designed by Kaczmarz in [ 9 ], and it was independently used by Gordon et al.
Basics of Chest Tomosynthesis Figure 1 depicts the standard components of a typical chest tomosynthesis system. Compared with CT, CDT utilizes an area detector system and a flat-panel detector, enabling acquisition of a set of tomographic image data from the entire field of view in a short exposure time.
History[ edit ] The concept of tomosynthesis was derived from the work of Ziedses des Plantes, who developed methods of reconstructing an arbitrary number of planes from a set of projections. It utilizes a conventional x-ray tube, a flat-panel detector, a computer-controlled tube mover, and special reconstruction algorithms to produce section images.
For the radiologist, CDT studies took longer to read than chest X-rays because of multiple images scrolling, but the overall interpretation time is lower than CT because of the lower number of images evaluated.
By reducing visual clutter from overlying normal anatomy, it also enhances detection of small lung nodules.
A three-dimensional depiction of the breast would be advantageous similar to three-dimensional depictions allowed by CT, MR, or ultrasound scanning.
Historical background and mathematical details are given for the various approaches described. Recently, compressed sensing based methods have been proposed in tomosynthesis imaging problem. Filtered back projection and iterative, expectation-maximization algorithms have both been used to reconstruct the data.
Technical Principles and Clinical Update". It very likely remains the most commonly performed diagnostic imaging test worldwide 1. A unique characteristic of CDT is its capability to reconstruct tomograms from multiple layers of the object under study by utilizing the image data obtained during a single tomographic exposure.
Techniques in Thoracic Imaging. A number of algorithms have been addressed to reconstruct the images. ABSTRACT: Digital breast tomosynthesis (DBT) is an innovative imaging modality that provides 3D reconstructed images of breast to detect the breast cancer.
Projections obtained with an X-ray source moving in a limited angle interval are used to reconstruct 3D image of breast. Abstract Digital x-ray tomosynthesis is a technique for producing slice images using conventional x-ray systems. It is a refinement of conventional geometric tomography, which has been known since the s.
Digital Breast Tomosynthesis Systems Mitch Goodsitt, PhD and Heang-Ping Chan, PhD Department of Radiology University of Michigan Ann Arbor, MI Disclosure Research Collaboration with GE Global Research Digital x-ray tomosynthesis: Current state of the art and clinical potential James T.
Dobbins III & Devon J. Godfrey Phys Med Biol 48 ( A comprehensive review of digital x-ray tomosynthesis for chest and breast imaging applications was provided by Dobbins and Godfrey. Digital x-ray tomosynthesis: current state of the art and clinical potential. Phys Med Biol ;48(19):R65–R Tomosynthesis (3D) mammography is the current state-of-the-art technology for imaging dense breasts.
Tomosynthesis uses digital x-ray technology to capture multiple images of the entire breast from different angles to produce high-resolution, 3D images, enabling radiologists to “see through” the dense breast tissue and find cancer that may.
digital tomosynthesis, which is now enjoying a resurgence of research and clinical interest. This topical review will describe the current state of the art of tomosynthesis research and clinical implementation.Digital x-ray tomosynthesis current state of the art