Literature DB >> 16790920

Diagnostic imaging over the last 50 years: research and development in medical imaging science and technology.

Kunio Doi1.   

Abstract

Over the last 50 years, diagnostic imaging has grown from a state of infancy to a high level of maturity. Many new imaging modalities have been developed. However, modern medical imaging includes not only image production but also image processing, computer-aided diagnosis (CAD), image recording and storage, and image transmission, most of which are included in a picture archiving and communication system (PACS). The content of this paper includes a short review of research and development in medical imaging science and technology, which covers (a) diagnostic imaging in the 1950s, (b) the importance of image quality and diagnostic performance, (c) MTF, Wiener spectrum, NEQ and DQE, (d) ROC analysis, (e) analogue imaging systems, (f) digital imaging systems, (g) image processing, (h) computer-aided diagnosis, (i) PACS, (j) 3D imaging and (k) future directions. Although some of the modalities are already very sophisticated, further improvements will be made in image quality for MRI, ultrasound and molecular imaging. The infrastructure of PACS is likely to be improved further in terms of its reliability, speed and capacity. However, CAD is currently still in its infancy, and is likely to be a subject of research for a long time.

Mesh:

Year:  2006        PMID: 16790920     DOI: 10.1088/0031-9155/51/13/R02

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  36 in total

1.  Measures of angular spread and entropy for the detection of architectural distortion in prior mammograms.

Authors:  Shantanu Banik; Rangaraj M Rangayyan; J E Leo Desautels
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-03-30       Impact factor: 2.924

2.  3D printing based on imaging data: review of medical applications.

Authors:  F Rengier; A Mehndiratta; H von Tengg-Kobligk; C M Zechmann; R Unterhinninghofen; H-U Kauczor; F L Giesel
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-05-15       Impact factor: 2.924

3.  Detection of architectural distortion in prior mammograms via analysis of oriented patterns.

Authors:  Rangaraj M Rangayyan; Shantanu Banik; J E Leo Desautels
Journal:  J Vis Exp       Date:  2013-08-30       Impact factor: 1.355

4.  Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers.

Authors:  Tingting Mu; Asoke K Nandi; Rangaraj M Rangayyan
Journal:  J Digit Imaging       Date:  2008-02-28       Impact factor: 4.056

Review 5.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

6.  Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.

Authors:  Maciej A Mazurowski; Piotr A Habas; Jacek M Zurada; Joseph Y Lo; Jay A Baker; Georgia D Tourassi
Journal:  Neural Netw       Date:  2007-12-27

Review 7.  A new family of distance functions for perceptual similarity retrieval of medical images.

Authors:  Joaquim Cezar Felipe; Caetano Traina; Agma Juci Machado Traina
Journal:  J Digit Imaging       Date:  2008-01-11       Impact factor: 4.056

8.  Observer study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammograms.

Authors:  Junji Shiraishi; Hiroyuki Abe; Katsuhiro Ichikawa; Robert A Schmidt; Kunio Doi
Journal:  J Digit Imaging       Date:  2009-03-10       Impact factor: 4.056

9.  Evaluation of non-Gaussian statistical properties in virtual breast phantoms.

Authors:  Craig K Abbey; Predrag R Bakic; David D Pokrajac; Andrew D A Maidment; Miguel P Eckstein; John M Boone
Journal:  J Med Imaging (Bellingham)       Date:  2019-06-14

Review 10.  Overview of deep learning in medical imaging.

Authors:  Kenji Suzuki
Journal:  Radiol Phys Technol       Date:  2017-07-08
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