6533b85efe1ef96bd12bff25

RESEARCH PRODUCT

MAGIC-5: an Italian mammographic database of digitised images for research

Raffaella MassafraE. López TorresFrancesco FauciUbaldo BottigliPiernicola OlivaP. CerelloAlessandra ReticoS. BagnascoR. IenziR. MagroGiuseppe RasoDonato CascioGiovanni Luca MasalaMaria Evelina FantacciS.c. CheranG. GarganoG. GarganoGiovanni Battista MeloniRosella CataldoSabina TangaroAdele LauriaA. P. CaricatoP. MonnoA. SodanoM. BazzocchiE. ZanonRoberto BellottiRoberto BellottiE. LattanzioPasquale DeloguF. De CarloF. De Carlo

subject

AdultLesion typeDatabases Factualmammographic databaseBreast NeoplasmsCADcomputer.software_genreSensitivity and SpecificityDatabaseMedical imagingHumansMedicineMammographyRadiology Nuclear Medicine and imagingGridMedical image processingMedical diagnosisAgedRetrospective StudiesGraphical user interfacecomputer assisted detectionDatabasePoint (typography)medicine.diagnostic_testbusiness.industryMagic (programming)General MedicineMiddle Agedimage processingRadiographic Image EnhancementItalyRadiographic Image Interpretation Computer-AssistedFemaleTomography X-Ray Computedbusinessdatabase; mammography; medical image processing; gridcomputerMammography

description

The implementation of a database of digitised mammograms is discussed. The digitised images were collected beginning in 1999 by a community of physicists in collaboration with radiologists in several Italian hospitals as a first step in developing and implementing a computer-aided detection (CAD) system. All 3,369 mammograms were collected from 967 patients and classified according to lesion type and morphology, breast tissue and pathology type. A dedicated graphical user interface was developed to visualise and process mammograms to support the medical diagnosis directly on a high-resolution screen. The database has been the starting point for developing other medical imaging applications, such as a breast CAD, currently being upgraded and optimised for use in a distributed environment with grid services, in the framework of the Instituto Nazionale di Fisicia Nucleare (INFN)-funded Medical Applications on a Grid Infrastructure Connection (MAGIC)-5 project.

https://doi.org/10.1007/s11547-008-0282-5