A limit on dose reduction possible with CT reconstruction algorithms without prior knowledge of the scan subject

Purpose: To find an upper bound on the maximum dose reduction possible for any reconstruction algorithm, analytic or iterative, that result from the inclusion of the data statistics. The authors do not analyze noise reduction possible from prior knowledge or assumptions about the object. Methods: Th...

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Vydané v:	Medical physics (Lancaster) Ročník 43; číslo 3; s. 1361 - 1368
Hlavní autori:	Hsieh, Scott S., Chesler, David A., Fleischmann, Dominik, Pelc, Norbert J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States American Association of Physicists in Medicine 01.03.2016
Predmet:	Acoustic noise measurement Algorithms Biological material, e.g. blood, urine; Haemocytometers Computed tomography Computerised tomographs computerised tomography DIAGNOSTIC IMAGING (IONIZING AND NON-IONIZING) Digital computing or data processing equipment or methods, specially adapted for specific applications dose reduction dosimetry Dosimetry/exposure assessment Humans Image data processing or generation, in general Image Processing, Computer-Assisted - methods image reconstruction iterative reconstruction least mean squares methods low contrast detectability Medical image contrast Medical image noise medical image processing Medical image reconstruction noise power spectrum Numerical optimization optimisation Radiation Dosage Reconstruction Scintigraphy Statistical analysis statistical reconstruction Tomography, X-Ray Computed X‐ray detectors X‐ray imaging low contrast detectability dose reduction iterative reconstruction noise power spectrum statistical reconstruction
ISSN:	0094-2405, 2473-4209, 2473-4209
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