Literature DB >> 15687571

Digital breast imaging: tomosynthesis and digital subtraction mammography.

L T Niklason1, D B Kopans, L M Hamberg.   

Abstract

Advances in the computer technology and the introduction of new digital imaging detectors offer the potential for digital image acquisition and several new mammography techniques, such as tomosynthesis and digital subtraction mammography. Tomosynthesis is a method of obtaining tomographic images of a breast. In tomosynthesis, any number of tomographic planes may be reconstructed from a set of images obtained as the X-ray source is moved in an arc above the breast. By shifting and adding the information obtained at different source positions, any plane of the breast can be brought into a sharp focus, while structures outside this selected plane are blurred. This may lead to improved lesion detection, especially in dense breast tissue. Thus, tomosynthesis may play a role in improving breast cancer screening and lesion characterization. Digital subtraction mammography is a method of breast angiography. It is performed by obtaining a digital radiographic image before, and one or more digital radiographic images after the injection of a contrast agent such as iodine. The pre- and post-contrast images are subtracted, resulting in an image of the vascular structures in the breast. Because breast cancer lesions have increased vascularity, digital subtraction mammography may play an important role in improving lesion detection, characterizing lesions, monitoring response to therapy, and determining lesion extent.Thus, both of these new digital techniques have the potential to address the major limitation of conventional mammography, namely the difficulty in detecting cancer in radiographically dense breasts.

Entities:  

Year:  1998        PMID: 15687571     DOI: 10.3233/bd-1998-103-415

Source DB:  PubMed          Journal:  Breast Dis        ISSN: 0888-6008


  5 in total

1.  Thick slices from tomosynthesis data sets: phantom study for the evaluation of different algorithms.

Authors:  Felix Diekmann; Henning Meyer; Susanne Diekmann; Sylvie Puong; Serge Muller; Ulrich Bick; Patrik Rogalla
Journal:  J Digit Imaging       Date:  2007-10-23       Impact factor: 4.056

2.  Clinical utility of positron emission mammography.

Authors:  Shannon B Glass; Zeeshan A Shah
Journal:  Proc (Bayl Univ Med Cent)       Date:  2013-07

Review 3.  Digital mammography imaging: breast tomosynthesis and advanced applications.

Authors:  Mark A Helvie
Journal:  Radiol Clin North Am       Date:  2010-09       Impact factor: 2.303

4.  Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer.

Authors:  Shuxian Niu; Xiaoyu Wang; Nannan Zhao; Guanyu Liu; Yangyang Kan; Yue Dong; E-Nuo Cui; Yahong Luo; Tao Yu; Xiran Jiang
Journal:  Front Oncol       Date:  2021-09-10       Impact factor: 6.244

5.  Reduced anatomical clutter in digital breast tomosynthesis with statistical iterative reconstruction.

Authors:  John W Garrett; Yinsheng Li; Ke Li; Guang-Hong Chen
Journal:  Med Phys       Date:  2018-04-01       Impact factor: 4.071

  5 in total

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