Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016340088> ?p ?o ?g. }
- W2016340088 endingPage "3150" @default.
- W2016340088 startingPage "3129" @default.
- W2016340088 abstract "This work introduces a task-driven imaging framework that incorporates a mathematical definition of the imaging task, a model of the imaging system, and a patient-specific anatomical model to prospectively design image acquisition and reconstruction techniques to optimize task performance. The framework is applied to joint optimization of tube current modulation, view-dependent reconstruction kernel, and orbital tilt in cone-beam CT. The system model considers a cone-beam CT system incorporating a flat-panel detector and 3D filtered backprojection and accurately describes the spatially varying noise and resolution over a wide range of imaging parameters in the presence of a realistic anatomical model. Task-based detectability index (d') is incorporated as the objective function in a task-driven optimization of image acquisition and reconstruction techniques. The orbital tilt was optimized through an exhaustive search across tilt angles ranging ±30°. For each tilt angle, the view-dependent tube current and reconstruction kernel (i.e. the modulation profiles) that maximized detectability were identified via an alternating optimization. The task-driven approach was compared with conventional unmodulated and automatic exposure control (AEC) strategies for a variety of imaging tasks and anthropomorphic phantoms. The task-driven strategy outperformed the unmodulated and AEC cases for all tasks. For example, d' for a sphere detection task in a head phantom was improved by 30% compared to the unmodulated case by using smoother kernels for noisy views and distributing mAs across less noisy views (at fixed total mAs) in a manner that was beneficial to task performance. Similarly for detection of a line-pair pattern, the task-driven approach increased d' by 80% compared to no modulation by means of view-dependent mA and kernel selection that yields modulation transfer function and noise-power spectrum optimal to the task. Optimization of orbital tilt identified the tilt angle that reduced quantum noise in the region of the stimulus by avoiding highly attenuating anatomical structures. The task-driven imaging framework offers a potentially valuable paradigm for prospective definition of acquisition and reconstruction protocols that improve task performance without increase in dose." @default.
- W2016340088 created "2016-06-24" @default.
- W2016340088 creator A5001358171 @default.
- W2016340088 creator A5066969185 @default.
- W2016340088 creator A5068070550 @default.
- W2016340088 creator A5073936277 @default.
- W2016340088 date "2015-03-24" @default.
- W2016340088 modified "2023-10-16" @default.
- W2016340088 title "Task-driven image acquisition and reconstruction in cone-beam CT" @default.
- W2016340088 cites W1965205516 @default.
- W2016340088 cites W1965796852 @default.
- W2016340088 cites W1973884420 @default.
- W2016340088 cites W1978768524 @default.
- W2016340088 cites W1988854901 @default.
- W2016340088 cites W1991055384 @default.
- W2016340088 cites W1997838942 @default.
- W2016340088 cites W2005277092 @default.
- W2016340088 cites W2006884874 @default.
- W2016340088 cites W2009600292 @default.
- W2016340088 cites W2015892377 @default.
- W2016340088 cites W2017401048 @default.
- W2016340088 cites W2019629195 @default.
- W2016340088 cites W2024991751 @default.
- W2016340088 cites W2025917220 @default.
- W2016340088 cites W2029927888 @default.
- W2016340088 cites W2036916465 @default.
- W2016340088 cites W2039720976 @default.
- W2016340088 cites W2042439044 @default.
- W2016340088 cites W2042852309 @default.
- W2016340088 cites W2068668125 @default.
- W2016340088 cites W2068863313 @default.
- W2016340088 cites W2069814604 @default.
- W2016340088 cites W2069952552 @default.
- W2016340088 cites W2075364756 @default.
- W2016340088 cites W2090212158 @default.
- W2016340088 cites W2092666703 @default.
- W2016340088 cites W2092864730 @default.
- W2016340088 cites W2102289986 @default.
- W2016340088 cites W2112095335 @default.
- W2016340088 cites W2113891902 @default.
- W2016340088 cites W2114419957 @default.
- W2016340088 cites W2129940523 @default.
- W2016340088 cites W2157812230 @default.
- W2016340088 doi "https://doi.org/10.1088/0031-9155/60/8/3129" @default.
- W2016340088 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4539970" @default.
- W2016340088 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25803361" @default.
- W2016340088 hasPublicationYear "2015" @default.
- W2016340088 type Work @default.
- W2016340088 sameAs 2016340088 @default.
- W2016340088 citedByCount "28" @default.
- W2016340088 countsByYear W20163400882015 @default.
- W2016340088 countsByYear W20163400882016 @default.
- W2016340088 countsByYear W20163400882017 @default.
- W2016340088 countsByYear W20163400882018 @default.
- W2016340088 countsByYear W20163400882019 @default.
- W2016340088 countsByYear W20163400882020 @default.
- W2016340088 countsByYear W20163400882021 @default.
- W2016340088 countsByYear W20163400882022 @default.
- W2016340088 countsByYear W20163400882023 @default.
- W2016340088 crossrefType "journal-article" @default.
- W2016340088 hasAuthorship W2016340088A5001358171 @default.
- W2016340088 hasAuthorship W2016340088A5066969185 @default.
- W2016340088 hasAuthorship W2016340088A5068070550 @default.
- W2016340088 hasAuthorship W2016340088A5073936277 @default.
- W2016340088 hasBestOaLocation W20163400882 @default.
- W2016340088 hasConcept C104293457 @default.
- W2016340088 hasConcept C111919701 @default.
- W2016340088 hasConcept C114614502 @default.
- W2016340088 hasConcept C115961682 @default.
- W2016340088 hasConcept C120665830 @default.
- W2016340088 hasConcept C121332964 @default.
- W2016340088 hasConcept C141379421 @default.
- W2016340088 hasConcept C154945302 @default.
- W2016340088 hasConcept C162324750 @default.
- W2016340088 hasConcept C163985040 @default.
- W2016340088 hasConcept C175231954 @default.
- W2016340088 hasConcept C187736073 @default.
- W2016340088 hasConcept C2524010 @default.
- W2016340088 hasConcept C2779844322 @default.
- W2016340088 hasConcept C2780451532 @default.
- W2016340088 hasConcept C31972630 @default.
- W2016340088 hasConcept C33923547 @default.
- W2016340088 hasConcept C41008148 @default.
- W2016340088 hasConcept C74193536 @default.
- W2016340088 hasConcept C76155785 @default.
- W2016340088 hasConcept C94915269 @default.
- W2016340088 hasConcept C99498987 @default.
- W2016340088 hasConceptScore W2016340088C104293457 @default.
- W2016340088 hasConceptScore W2016340088C111919701 @default.
- W2016340088 hasConceptScore W2016340088C114614502 @default.
- W2016340088 hasConceptScore W2016340088C115961682 @default.
- W2016340088 hasConceptScore W2016340088C120665830 @default.
- W2016340088 hasConceptScore W2016340088C121332964 @default.
- W2016340088 hasConceptScore W2016340088C141379421 @default.
- W2016340088 hasConceptScore W2016340088C154945302 @default.
- W2016340088 hasConceptScore W2016340088C162324750 @default.
- W2016340088 hasConceptScore W2016340088C163985040 @default.
- W2016340088 hasConceptScore W2016340088C175231954 @default.