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Proceedings Paper

Potential for lower absorbed dose in digital mammography: a JAFROC experiment using clinical hybrid images with simulated dose reduction
Author(s): Pontus Timberg; Mark Ruschin; Magnus Båth; Bengt Hemdal; Ingvar Andersson; Sören Mattsson; Dev Chakraborty; Rob Saunders; Ehsan Samei; Anders Tingberg
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Paper Abstract

Purpose: To determine how image quality linked to tumor detection is affected by reducing the absorbed dose to 50% and 30% of the clinical levels represented by an average glandular dose (AGD) level of 1.3 mGy for a standard breast according to European guidelines. Materials and methods: 90 normal, unprocessed images were acquired from the screening department using a full-field digital mammography (FFDM) unit Mammomat Novation (Siemens). Into 40 of these, one to three simulated tumors were inserted per image at various positions. These tumors represented irregular-shaped malignant masses. Dose reduction was simulated in all 90 images by adding simulated quantum noise to represent images acquired at 50% and 30% of the original dose, resulting in 270 images, which were subsequently processed for final display. Four radiologists participated in a free-response receiver operating characteristics (FROC) study in which they searched for and marked suspicious positions of the masses as well as rated their degree of suspicion of occurrence on a one to four scale. Using the jackknife FROC (JAFROC) method, a score between 0 and 1 (where 1 represents best performance), referred to as a figure-of-merit (FOM), was calculated for each dose level. Results: The FOM was 0.73, 0.70, and 0.68 for the 100%, 50% and 30% dose levels, respectively. Using Analysis of the Variance (ANOVA) to test for statistically significant differences between any two of the three FOMs revealed that they were not statistically distinguishable (p-value of 0.26). Conclusion: For the masses used in this experiment, there was no significant change in detection by increasing quantum noise, thus indicating a potential for dose reduction.

Paper Details

Date Published: 17 March 2006
PDF: 10 pages
Proc. SPIE 6146, Medical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment, 614614 (17 March 2006); doi: 10.1117/12.653419
Show Author Affiliations
Pontus Timberg, Lund Univ., Malmö Univ. Hospital (Sweden)
Mark Ruschin, Lund Univ., Malmö Univ. Hospital (Sweden)
Magnus Båth, Sahlgrenska Univ. Hospital (Sweden)
Bengt Hemdal, Lund Univ., Malmö Univ. Hospital (Sweden)
Ingvar Andersson, Lund Univ., Malmö Univ. Hospital (Sweden)
Sören Mattsson, Lund Univ., Malmö Univ. Hospital (Sweden)
Dev Chakraborty, Univ. of Pittsburgh (United States)
Rob Saunders, Duke Univ. (United States)
Duke Univ. Medical Ctr. (United States)
Ehsan Samei, Duke Univ. (United States)
Duke Univ. Medical Ctr. (United States)
Anders Tingberg, Lund Univ., Malmö Univ. Hospital (Sweden)


Published in SPIE Proceedings Vol. 6146:
Medical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Miguel P. Eckstein, Editor(s)

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