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You searched for +publisher:"Universidade Nova" +contributor:("Oliveira, Nuno"). One record found.

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Universidade Nova

1. Ferreira, Pedro Rafael Tomé. Optimization of breast tomosynthesis image reconstruction using parallel computing.

Degree: 2014, Universidade Nova

Breast cancer is the most common cancer among women, being a major public health problem. Worldwide, X-ray mammography is the current gold-standard for medical imaging of breast cancer. However, it has associated some well-known limitations. The false-negative rates, up to 66% in symptomatic women, and the false-positive rates, up to 60%, are a continued source of concern and debate. These drawbacks prompt the development of other imaging techniques for breast cancer detection, in which Digital Breast Tomosynthesis (DBT) is included. DBT is a 3D radiographic technique that reduces the obscuring effect of tissue overlap and appears to address both issues of false-negative and false-positive rates. The 3D images in DBT are only achieved through image reconstruction methods. These methods play an important role in a clinical setting since there is a need to implement a reconstruction process that is both accurate and fast. This dissertation deals with the optimization of iterative algorithms, with parallel computing through an implementation on Graphics Processing Units (GPUs) to make the 3D reconstruction faster using Compute Unified Device Architecture (CUDA). Iterative algorithms have shown to produce the highest quality DBT images, but since they are computationally intensive, their clinical use is currently rejected. These algorithms have the potential to reduce patient dose in DBT scans. A method of integrating CUDA in Interactive Data Language (IDL) is proposed in order to accelerate the DBT image reconstructions. This method has never been attempted before for DBT. In this work the system matrix calculation, the most computationally expensive part of iterative algorithms, is accelerated. A speedup of 1.6 is achieved proving the fact that GPUs can accelerate the IDL implementation. Advisors/Committee Members: Matela, Nuno, Medeiros, Pedro, Oliveira, Nuno.

Subjects/Keywords: Digital breast; Tomosynthesis; Iterative image reconstruction; Parallel programming; GPU; CUDA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ferreira, P. R. T. (2014). Optimization of breast tomosynthesis image reconstruction using parallel computing. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ferreira, Pedro Rafael Tomé. “Optimization of breast tomosynthesis image reconstruction using parallel computing.” 2014. Thesis, Universidade Nova. Accessed October 17, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ferreira, Pedro Rafael Tomé. “Optimization of breast tomosynthesis image reconstruction using parallel computing.” 2014. Web. 17 Oct 2019.

Vancouver:

Ferreira PRT. Optimization of breast tomosynthesis image reconstruction using parallel computing. [Internet] [Thesis]. Universidade Nova; 2014. [cited 2019 Oct 17]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ferreira PRT. Optimization of breast tomosynthesis image reconstruction using parallel computing. [Thesis]. Universidade Nova; 2014. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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