| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Fed Sao Paulo, Inst Sci & Technol, Ave Cesare Mansueto Giulio Lattes 1201, BR-12247014 Sao Jose Dos Campos - Brazil
[2] Univ Fed Santa Catarina, Dept Math, Blumenau, SC - Brazil
[3] Univ Estadual Campinas, Dept Appl Math, IMECC, UNICAMP, Campinas, SP - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | Journal of Inverse and Ill-Posed Problems; v. 26, n. 6, p. 755-770, DEC 2018. |
| Web of Science Citations: | 0 |
| Abstract | |
Quasi-Newton acceleration is an interesting tool to improve the performance of numerical methods based on the fixed-point paradigm. In this paper, a briefly description of the compartmental model employed for a typical task in perfusion imaging is presented. Next, a quasi-Newton strategy for accelerating the convergence of fixed-point iterations is analyzed. For that, classical secant updates are considered. Finally, the quasi-Newton strategy is applied on the practical problem of represent the kinetic behavior of a PET (Positron Emission Tomography) tracer during cardiac perfusion. The performance of the method when applied to real data problems is illustrated numerically. (AU) | |
| FAPESP's process: | 12/10444-0 - A new integrated software for nonlinear systems |
| Grantee: | Tiara Martini dos Santos |
| Support Opportunities: | Scholarships in Brazil - Doctorate |