2016-11-302015@inproceedings{INMED_Ultrasound_2015, title = {Ultrasound Image Dataset for Image Analysis Algorithms Evaluation}, author = {C. Cortes, L. Kabongo, I. Macia, O. E. Ruiz and J. Florez}, booktitle = {Proceedings of 3rd Intl. Conference Innovation in Medicine and Healthcare KES-INMED 2015}, month = {Sept. 11-12}, year = {2015}, address ={Kyoto, Japan} }978-3-319-23023-8http://hdl.handle.net/10784/9783The use of ultrasound (US) imaging as an alternative for real-time computer assisted interventions is increasing -- Growing usage of US occurs de-spite of US lower imaging quality compared to other techniques and its diffi-culty to be used with image analysis algorithms -- On the other hand, it is still difficult to find sufficient data to develop and assess solutions for navigation, registration and reconstruction at medical research level -- At present, manually acquired available datasets present significant usability obstacles due to their lack of control of acquisition conditions, which hinders the study and correction of algorithm design parameters -- To address these limitations, we present a data-base of robotically acquired sequences of US images from medical phantoms, ensuring the trajectory, pose and force control of the probe -- The acquired data-set is publicly available, and it is specially useful for designing and testing reg-istration and volume reconstruction algorithmsapplication/pdfenginfo:eu-repo/semantics/conferencePaperinfo:eu-repo/semantics/closedAccessULTRASONIDO EN MEDICINASISTEMAS DE IMÁGENES EN MEDICINADIAGNÓSTICO POR IMÁGENESPROCESAMIENTO DE DATOS EN TIEMPO REALALGORITMOSUltrasonics in medicineImaging systems in medicineDiagnostic imagingReal-time data processingAlgorithmsProcedimientos quirúrgicos mínimamente invasivosAcceso cerrado2016-11-30Cortes, CamiloKabongo, LuisMacia, IvanRuíz, Óscar E.Florez, Julian10.1007%2F978-3-319-23024-5_41