Literature DB >> 8284372

Assessing adequacy of mammographic image quality.

G W Eklund1, G Cardenosa, W Parsons.   

Abstract

High-quality mammographic images enhance the radiologist's ability to interpret mammograms with high sensitivity for detecting abnormalities and high specificity for classifying lesions suspicious for malignancy. In addition to proper exposure, contrast, resolution, compression, and positioning, high-quality mammographic images must be accompanied by pertinent history and available comparison images. To avoid negating the benefits of technically ideal images, mammograms must be viewed under optimal viewing conditions. Constant attention to quality control, with every image evaluated for adherence to strict technical standards, is essential for maintaining image quality.

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Year:  1994        PMID: 8284372     DOI: 10.1148/radiology.190.2.8284372

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

1.  Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression.

Authors:  Vibha Bafna Bora; Ashwin G Kothari; Avinash G Keskar
Journal:  J Digit Imaging       Date:  2016-02       Impact factor: 4.056

2.  Computer-aided identification of the pectoral muscle in digitized mammograms.

Authors:  K Santle Camilus; V K Govindan; P S Sathidevi
Journal:  J Digit Imaging       Date:  2009-10-09       Impact factor: 4.056

Review 3.  A review of mammographic positioning image quality criteria for the craniocaudal projection.

Authors:  Rhonda-Joy I Sweeney; Sarah J Lewis; Peter Hogg; Mark F McEntee
Journal:  Br J Radiol       Date:  2017-12-05       Impact factor: 3.039

4.  Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN).

Authors:  S Akila Agnes; J Anitha; S Immanuel Alex Pandian; J Dinesh Peter
Journal:  J Med Syst       Date:  2019-12-14       Impact factor: 4.460

5.  How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?

Authors:  Joana Boita; Ruben E van Engen; Alistair Mackenzie; Anders Tingberg; Hilde Bosmans; Anetta Bolejko; Sophia Zackrisson; Matthew G Wallis; Debra M Ikeda; Chantal Van Ongeval; Ruud Pijnappel; Mireille Broeders; Ioannis Sechopoulos
Journal:  Eur Radiol       Date:  2021-01-21       Impact factor: 5.315

6.  Breast Positioning during Mammography: Mistakes to be Avoided.

Authors:  Manju Bala Popli; Rahul Teotia; Meenakshi Narang; Hare Krishna
Journal:  Breast Cancer (Auckl)       Date:  2014-07-30

7.  Full-field digital mammography: the '30% rule' and influences on visualisation of the pectoralis major muscle on the craniocaudal view of the breast.

Authors:  Julia Strohbach; Jenny Maree Wilkinson; Kelly Maree Spuur
Journal:  J Med Radiat Sci       Date:  2020-06-22

8.  Clinical Factors Associated with Asymptomatic Women Having Inconclusive Screening Mammography Results: Experiences from a Single Medical Center in Taiwan.

Authors:  Chun-Li Wang; Pi-Shan Hsu; Chia-Yen Lin; Shun-Fa Yang
Journal:  Int J Environ Res Public Health       Date:  2021-05-19       Impact factor: 3.390

  8 in total

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