Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems

Young, Kenneth C.; Alsager, Abdulaziz; Oduko, Jennifer M.; Bosmans, Hilde; Verbrugge, Beatrijs; Geertse, Tanya D.; Engen, Ruben van

doi:10.1117/12.770571

Cited by 54 publications

(60 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…CDMAM is the accepted European standard for evaluating FFDM image quality [24] and utilizes freely available software to automatically process the images [25]. Zerdine, which simulates the acoustic properties of breast tissue, is used in the construction of the CIRS phantom, which also includes a variety of targets that mimic breast lesions.…”

Section: Phantom Testingmentioning

confidence: 99%

See 1 more Smart Citation

Detecting Breast Cancer with a Dual-Modality Device

Padia

Douglas

Cairncross

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract:Although mammography has been the gold standard for early detection of breast cancer, if a woman has dense breast tissue, a false negative diagnosis may occur. Breast ultrasound, whether hand-held or automated, is a useful adjunct to mammography but adds extra time and cost. The primary aim was to demonstrate that our second-generation Aceso system, which combines full-field digital mammography (FFDM) and automated breast ultrasound (ABUS) in a single platform, is able to produce improved quality images that provide clinically meaningful results. Aceso was first tested using two industry standards: a CDMAM phantom to assess the FFDM images; and the CIRS 054GS phantom to evaluate the ABUS images. In addition, 25 women participated in a clinical trial: 14 were healthy volunteers while 11 were patients referred by the breast clinic at Groote Schuur Hospital. The CDMAM phantom results showed the FFDM results were better than EUREF's standard of "acceptable" and were approaching "achievable". The ABUS results showed lateral and axial spatial resolution of 0.5 mm and adequate depth penetration of 80 mm. Our second-generation Aceso system, with its improved quality of clinical FFDM and ABUS images, has demonstrated its potential for early detection of breast cancer in a busy clinic.

show abstract

Section: Phantom Testingmentioning

confidence: 99%

“…The threshold gold thickness has been plotted as a function of detail diameter, using a logarithmic scale for both axes. The Aceso data are based on eight sequential X-ray images (at 33 kV, 30 mAs, 2.4 mGy) and may be compared with the EUREF standards of "acceptable" and "achievable" [24]. data was performed.…”

Section: Two Clinical Examplesmentioning

confidence: 99%

Detecting Breast Cancer with a Dual-Modality Device

Padia

Douglas

Cairncross

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…A set of 32 images was acquired for each of the CDMAM 3.4 phantoms and each of the mammography units. A relatively large number of images improves the reproducibility of the analysis process for all detail sizes [7]. All of the images were obtained in an unprocessed study (QC-RAW) for identical exposure parameters: 28 kV, 140 mAs (manual mode), W/Rh anode/fi lter combination, with an antiscatter grid.…”

Section: Images Of the Cdmam 34 Phantomsmentioning

confidence: 99%

“…In the original method, visibility was determined visually by a group of three human observers [1]. However, studies have shown the inter-and intraobserver variability in the assessment of the structures in the CDMAM phantom images [7,8]. To eliminate the infl uence of the human factor, several computer programs to analyze the CDMAM phantom images have been developed.…”

mentioning

confidence: 99%

The threshold contrast thickness evaluated with different CDMAM phantoms and software

2016

View full text Add to dashboard Cite

The image quality in digital mammography is described by specifying the thickness and diameter of disks with threshold visibility. The European Commission recommends the CDMAM phantom as a tool to evaluate threshold contrast visibility in digital mammography [1, 2]. Inaccuracy of the manufacturing process of CDMAM 3.4 phantoms (Artinis Medical System BV), as well as differences between software used to analyze the images, may lead to discrepancies in the evaluation of threshold contrast visibility. The authors of this work used three CDMAM 3.4 phantoms with serial numbers 1669, 1840, and 1841 and two mammography systems of the same manufacturer with an identical types of detectors. The images were analyzed with EUREF software (version 1.5.5 with CDCOM 1.6. exe file) and Artinis software (version 1.2 with CDCOM 1.6. exe file). The differences between the observed thicknesses of the threshold contrast structures, which were caused by differences between the CDMAM 3.4 phantoms, were not reproduced in the same way on two mammography units of the same type. The thickness reported by the Artinis software (version 1.2 with CDCOM 1.6. exe file) was generally greater than the one determined by the EUREF software (version 1.5.5 with CDCOM 1.6. exe file), but the ratio of the results depended on the phantom and diameter of the structure. It was not possible to establish correction factors, which would allow correction of the differences between the results obtained for different CDMAM 3.4 phantoms, or to correct the differences between software. Great care must be taken when results of the tests performed with different CDMAM 3.4 phantoms and with different software application are interpreted.

show abstract

“…As tecnologias que favorecem a aquisição de mamografias no formato digital tornaram possível a automatização destes procedimentos e tem sido alvo de diversos pesquisadores que vêm se empenhando na tentativa de se criar uma ferramenta computacional precisa e adequada à rotina de controle de qualidade (PRIETO et al, 2008;YOUNG et al, 2008;YIP et al, 2009). …”

Section: Capítulo 5 Materiais E Métodosunclassified

Avaliação automática da qualidade de imagens mamográficas digitais geradas com simulador CDMAM

Sousa¹

View full text Add to dashboard Cite

AGRADECIMENTOSÀ Deus, que me permite sonhar, dando sentido à minha vida. Que me capacitou e me fortaleceu em cada momento dedicado à conclusão deste trabalho.Aos meus pais por todo amor, apoio emocional e financeiro concedidos na busca da concretização dos meus projetos. E a minha família, por aceitar e entender o convívio à distância, advindo da minha busca incessante pelo conhecimento e a vontade de ir além.Ao Prof. Dr. Homero Schiabel, por um dia ter me aberto as suas portas, confiando em minha competência. Pelas orientações e conversas que muito contribuíram para minha formação como pesquisadora e professora.Ao apoio financeiro da CAPES e técnico do grupo de pesquisas do Laboratório de Qualificação de Imagens Médicas (QualIM) -UNIFESP, na disponibilização das imagens e seus respectivos laudos. À Profa. Regina, pelo tempo dedicado à co-orientação deste projeto.Aos amigos de laboratório: Renata, que me ensinou a dar os primeiros passos com uma companhia muito agradável e divertida, juntamente com a Paula, Luciana, Débora, Bruno, Roger, Renan, Karem e Patrícia. À Dra. Luciana e Bruno Matheus pelas importantes discussões e auxílio com as leituras de imagens. À minha aluna de IC, Paulinha, que me surpreende a cada dia com novas ideias e histórias engraçadas.Em especial, ao Bruno, que norteou diversas discussões, ajudando-me diretamente no desenvolvimento de pontos importantes do meu trabalho, além da convivência descontraída até mesmo na participação em congressos.Ao Renan, exemplo de organização e dedicação, por permitir o nascimento de uma grande amizade, fruto de muito respeito entre ambas as partes.À Karem, por cada momento compartilhado e que valeram muito a pena.Mais do que tudo, por me ensinar a ter uma verdadeira amizade.Aos amigos da pós-graduação que me proporcionaram momentos de muita descontração, me ajudando a superar todas as dificuldades. Em especial, Luciana, de quem já sinto tanta falta. E aos amigos do Ministério Universidades Renovadas, pelo apoio e orações. Grande parte de todos os momentos alegres da minha vida são devido a vocês. Technical requirements of image quality in mammography established by national and international norms include quality parameters which can be achieved by conducting periodic tests. It is recommended that some quality parameters are measured from images acquired by exposing specific phantoms, as CDMAM, in such systems. Nevertheless, this task is hard-working and time consuming, besides to be subject to a significant dependence of the observer, reducing the measurements accuracy. Accordingly, the purpose of this work is the development of a software to assist in the professional testing, reducing the subjectivity due to the observers and correlating the automated readings with the human visual system, without the need to make the correction of the results, as is done in many studies in the literature. For this, we used 57 images obtained for five CR systems and a method of detection based on circular correlators filters. The correlation with human vision was based o...

show abstract

Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems

Cited by 54 publications

References 4 publications

Detecting Breast Cancer with a Dual-Modality Device

Detecting Breast Cancer with a Dual-Modality Device

The threshold contrast thickness evaluated with different CDMAM phantoms and software

Avaliação automática da qualidade de imagens mamográficas digitais geradas com simulador CDMAM

Contact Info

Product

Resources

About