Literature DB >> 21804679

Recent developments in imaging system assessment methodology, FROC analysis and the search model.

Dev P Chakraborty1.   

Abstract

A frequent problem in imaging is assessing whether a new imaging system is an improvement over an existing standard. Observer performance methods, in particular the receiver operating characteristic (ROC) paradigm, are widely used in this context. In ROC analysis lesion location information is not used and consequently scoring ambiguities can arise in tasks, such as nodule detection, involving finding localized lesions. This paper reviews progress in the free-response ROC (FROC) paradigm in which the observer marks and rates suspicious regions and the location information is used to determine whether lesions were correctly localized. Reviewed are FROC data analysis, a search-model for simulating FROC data, predictions of the model and a method for estimating the parameters. The search model parameters are physically meaningful quantities that can guide system optimization.

Entities:  

Year:  2011        PMID: 21804679      PMCID: PMC3144765          DOI: 10.1016/j.nima.2010.11.042

Source DB:  PubMed          Journal:  Nucl Instrum Methods Phys Res A        ISSN: 0168-9002            Impact factor:   1.455


  17 in total

1.  Data analysis for detection and localization of multiple abnormalities with application to mammography.

Authors:  N A Obuchowski; M L Lieber; K A Powell
Journal:  Acad Radiol       Date:  2000-07       Impact factor: 3.173

2.  Basic principles of ROC analysis.

Authors:  C E Metz
Journal:  Semin Nucl Med       Date:  1978-10       Impact factor: 4.446

3.  Visual detection and localization of radiographic images.

Authors:  S J Starr; C E Metz; L B Lusted; D J Goodenough
Journal:  Radiology       Date:  1975-09       Impact factor: 11.105

4.  A search model and figure of merit for observer data acquired according to the free-response paradigm.

Authors:  D P Chakraborty
Journal:  Phys Med Biol       Date:  2006-07-06       Impact factor: 3.609

5.  ROC curves predicted by a model of visual search.

Authors:  D P Chakraborty
Journal:  Phys Med Biol       Date:  2006-07-06       Impact factor: 3.609

6.  Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data.

Authors:  Dev Chakraborty; Hong-Jun Yoon; Claudia Mello-Thoms
Journal:  Acad Radiol       Date:  2007-01       Impact factor: 3.173

7.  Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis.

Authors:  Stephen L Hillis; Kevin S Berbaum; Charles E Metz
Journal:  Acad Radiol       Date:  2008-05       Impact factor: 3.173

8.  The "proper" binormal model: parametric receiver operating characteristic curve estimation with degenerate data.

Authors:  X Pan; C E Metz
Journal:  Acad Radiol       Date:  1997-05       Impact factor: 3.173

9.  Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.

Authors:  Lorenzo L Pesce; Charles E Metz
Journal:  Acad Radiol       Date:  2007-07       Impact factor: 3.173

10.  Operating characteristics predicted by models for diagnostic tasks involving lesion localization.

Authors:  D P Chakraborty; Hong-Jun Yoon
Journal:  Med Phys       Date:  2008-02       Impact factor: 4.071

View more
  7 in total

1.  Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

Authors:  Babak Ehteshami Bejnordi; Mitko Veta; Paul Johannes van Diest; Bram van Ginneken; Nico Karssemeijer; Geert Litjens; Jeroen A W M van der Laak; Meyke Hermsen; Quirine F Manson; Maschenka Balkenhol; Oscar Geessink; Nikolaos Stathonikos; Marcory Crf van Dijk; Peter Bult; Francisco Beca; Andrew H Beck; Dayong Wang; Aditya Khosla; Rishab Gargeya; Humayun Irshad; Aoxiao Zhong; Qi Dou; Quanzheng Li; Hao Chen; Huang-Jing Lin; Pheng-Ann Heng; Christian Haß; Elia Bruni; Quincy Wong; Ugur Halici; Mustafa Ümit Öner; Rengul Cetin-Atalay; Matt Berseth; Vitali Khvatkov; Alexei Vylegzhanin; Oren Kraus; Muhammad Shaban; Nasir Rajpoot; Ruqayya Awan; Korsuk Sirinukunwattana; Talha Qaiser; Yee-Wah Tsang; David Tellez; Jonas Annuscheit; Peter Hufnagl; Mira Valkonen; Kimmo Kartasalo; Leena Latonen; Pekka Ruusuvuori; Kaisa Liimatainen; Shadi Albarqouni; Bharti Mungal; Ami George; Stefanie Demirci; Nassir Navab; Seiryo Watanabe; Shigeto Seno; Yoichi Takenaka; Hideo Matsuda; Hady Ahmady Phoulady; Vassili Kovalev; Alexander Kalinovsky; Vitali Liauchuk; Gloria Bueno; M Milagro Fernandez-Carrobles; Ismael Serrano; Oscar Deniz; Daniel Racoceanu; Rui Venâncio
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

2.  Evaluation of Pseudoreader Study Designs to Estimate Observer Performance Results as an Alternative to Fully Crossed, Multireader, Multicase Studies.

Authors:  Rickey E Carter; David R Holmes; Joel G Fletcher; Cynthia H McCollough
Journal:  Acad Radiol       Date:  2019-05-07       Impact factor: 3.173

Review 3.  New developments in observer performance methodology in medical imaging.

Authors:  Dev P Chakraborty
Journal:  Semin Nucl Med       Date:  2011-11       Impact factor: 4.446

4.  Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning-based Detection Algorithm.

Authors:  Ju Gang Nam; Eui Jin Hwang; Da Som Kim; Seung-Jin Yoo; Hyewon Choi; Jin Mo Goo; Chang Min Park
Journal:  Radiol Cardiothorac Imaging       Date:  2020-12-10

Review 5.  A brief history of free-response receiver operating characteristic paradigm data analysis.

Authors:  Dev P Chakraborty
Journal:  Acad Radiol       Date:  2013-04-12       Impact factor: 3.173

6.  Generating synthetic contrast enhancement from non-contrast chest computed tomography using a generative adversarial network.

Authors:  Jae Won Choi; Yeon Jin Cho; Ji Young Ha; Seul Bi Lee; Seunghyun Lee; Young Hun Choi; Jung-Eun Cheon; Woo Sun Kim
Journal:  Sci Rep       Date:  2021-10-14       Impact factor: 4.379

7.  Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.

Authors:  Grzegorz Chlebus; Andrea Schenk; Jan Hendrik Moltz; Bram van Ginneken; Horst Karl Hahn; Hans Meine
Journal:  Sci Rep       Date:  2018-10-19       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.