{"id":18986,"date":"2022-01-17T12:11:59","date_gmt":"2022-01-17T11:11:59","guid":{"rendered":"https:\/\/www.idisantiago.es\/grupo-de-investigacion\/c024-radiologia\/"},"modified":"2023-04-27T10:19:54","modified_gmt":"2023-04-27T08:19:54","slug":"c024-radiologia","status":"publish","type":"project","link":"https:\/\/www.idisantiago.es\/en\/grupo-de-investigacion\/c024-radiologia\/","title":{"rendered":"AC25 – Radiology"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||||false|false” da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row _builder_version=”4.16″ _module_preset=”default” width=”100%” custom_padding=”0px||||false|false” locked=”on” collapsed=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]\u00c1REA: PLATAFORMAS Y METODOLOG\u00cdA<\/a>
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.16″ _module_preset=”default” width=”100%” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.idisantiago.es\/wp-content\/uploads\/2022\/02\/C024-INv.gif” title_text=”C024 INv” _builder_version=”4.16″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_image][et_pb_toggle title=”Objectives and lines of research” admin_label=”Objetivos y l\u00edneas de investigaci\u00f3n” _builder_version=”4.19.4″ _module_preset=”default” body_font=”|300|||||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Objectives<\/h3>\n

Investigate new techniques, algorithms and radiological imaging protocols that allow opening paths towards the improvement of the diagnosis and treatment of cardiovascular and pulmonary diseases. For this we use the images of patients with vascular diseases (to perform automatic segmentation of the aorta, for example), cardiac (to perform automatic ventricular segmentation, for example) and patients with lung cancer (to perform automatic detection and monitoring of the themselves). We focus on the analysis of computed tomography and magnetic resonance images, fundamentally. We also investigate the development of animal experimentation models applied to cardiac magnetic resonance studies. The objectives are novel and entail an important methodological development.<\/p>\n

Lines of research<\/h3>\n