Full-field digital mammography image data storage reduction using a crop tool
- 164 Downloads
The storage requirements for full-field digital mammography (FFDM) in a picture archiving and communication system are significant, so methods to reduce the data set size are needed. A FFDM crop tool for this purpose was designed, implemented, and tested.
Materials and methods
A total of 1,651 screening mammography cases with bilateral FFDMs were included in this study. The images were cropped using a DICOM editor while maintaining image quality. The cases were evaluated according to the breast volume (1/4, 2/4, 3/4, and 4/4) in the craniocaudal view. The image sizes between the cropped image group and the uncropped image group were compared. The overall image quality and reader’s preference were independently evaluated by the consensus of two radiologists.
Digital storage requirements for sets of four uncropped to cropped FFDM images were reduced by 3.8 to 82.9 %. The mean reduction rates according to the 1/4–4/4 breast volumes were 74.7, 61.1, 38, and 24 %, indicating that the lower the breast volume, the smaller the size of the cropped data set. The total image data set size was reduced from 87 to 36.7 GB, or a 57.7 % reduction. The overall image quality and the reader’s preference for the cropped images were higher than those of the uncropped images.
FFDM mammography data storage requirements can be significantly reduced using a crop tool.
KeywordsCrop Digital mammography FFDM PACS
Conflict of interest
Bong Joo Kang, Sung Hun Kim, Yeong Yi An, and Byung Gil Choi declare that they have no conflicts of interest.
- 6.Pisano ED, Hendrick RE, Yaffe MJ, Baum JK, Acharyya S, Cormack JB, Hanna LA, Conant EF, Fajardo LL, Bassett LW, D’Orsi CJ, Jong RA, Rebner M, Tosteson AN, Gatsonis CA (2008) Diagnostic accuracy of digital versus film mammography: exploratory analysis of selected population subgroups in DMIST. Radiology 246(2):376–383CrossRefPubMedCentralPubMedGoogle Scholar
- 10.Radiology. ACo (2003) Breast imaging reporting and data system, breast imaging atlas, 4th edn. American College of Radiology, RestonGoogle Scholar
- 17.Ringl H, Schernthaner R, Sala E, El-Rabadi K, Weber M, Schima W, Herold CJ, Dixon AK (2008) Lossy 3D JPEG2000 compression of abdominal CT images in patients with acute abdominal complaints: effect of compression ratio on diagnostic confidence and accuracy. Radiology 248(2):476–484CrossRefPubMedGoogle Scholar
- 21.Huffman J (2007) PACS, iSyntax and iSite, June 18–25Google Scholar
- 23.Fallenberg EM, Dimitrijevic L, Diekmann F, Diekmann S, Kettritz U, Poellinger A, Bick U, Winzer KJ, Engelken F, Renz DM (2014) Impact of magnification views on the characterization of microcalcifications in digital mammography. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 186(3):274–280PubMedGoogle Scholar