Akademia Sztuk Pi\u0119knych im. Jana Matejki w Krakowie | Jan Matejko Academy of Fine Arts in Krak\u00f3w<\/strong> Polska | Poland<\/p>\n <\/p>[\/et_pb_text][et_pb_accordion _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_accordion_item title=”BIO” _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content” open=”on”] [PL]\u00a0<\/strong>Od 2011 roku, pracownik Laboratorium Druku 3D na Wydziale Architektury Wn\u0119trz Krakowskiej ASP, od 7 lat specjalizuj\u0105cy si\u0119 w in\u017cynierii odwrotnej obrazowania medycznego, inaczej: segmentacj\u0105 obrazowania medycznego. Swoje do\u015bwiadczenie zdoby\u0142 wsp\u00f3\u0142pracuj\u0105c z jednostkami medycznymi w ca\u0142ej Polsce, a obecnie jest \u015bci\u015ble zwi\u0105zany z Uniwersyteckim Szpitalem Dzieci\u0119cym w Krakowie, na rzecz kt\u00f3rego przygotowuje modele 3D na podstawie bada\u0144 obrazowych pacjent\u00f3w. Od 2021 roku, pracownik Uniwersytetu Jagiello\u0144skiego Collegium Medicum na stanowisku \u201especjalista do spraw analizy i rekonstrukcji obrazowania medycznego\u201d.\u00a0 Wsp\u00f3\u0142prowadz\u0105cy zaj\u0119cia na oddziale kardiologii dzieci\u0119cej na Gda\u0144skim Uniwersytecie Medycznym oraz prowadz\u0105cy szkolenia z zakresu oprogramowania do segmentacji obrazowania medycznego dla takich firm jak: Materialise (Mimics), Synopsys (simpleware) oraz Slicer. Wsp\u00f3\u0142pracuj\u0105cy z producentami drukarek 3D takimi jak: Sinterit, 3D-Lab, StrataSYS, pracuje tak\u017ce jako wolontariusz w fundacji e-Nable Polska na stanowisku: specjalisty do spraw segmentacji. W\u0142a\u015bciciel firmiy Medical Image Segmentation Initieative (misi.com.pl) kt\u00f3ra w ramach wsp\u00f3\u0142pracy z OryxMedi rozpocz\u0119\u0142a prac\u0119 nad wspomaganiem rozwi\u0105za\u0144 do neuronawigacji w oparciu o zaawansowan\u0105 analiz\u0119 i rekonstrukcj\u0119 obrazowania medycznego.<\/p>\n [ENG]\u00a0<\/strong>Since 2011, an employee of the 3D Printing Laboratory at the Faculty of Interior Design of the Krakow Academy of Fine Arts, for 7 years specializing in reverse engineering of medical imaging, in other words: medical imaging segmentation. He gained his experience working with medical units all over Poland, and currently he is closely associated with Uniwersytecki Szpital Dzieci\u0119cy [The University Children’s Hospital] in Krakow, for which he prepares 3D models based on patients’ imaging tests. From 2021, an employee of the Jagiellonian University Collegium Medicum as a “specialist in the analysis and reconstruction of medical imaging”. Co-lecturer at the department of pediatric cardiology at the Medical University of Gda\u0144sk, and conducting training in the field of medical imaging segmentation software for companies such as: Materialize (Mimics), Synopsys (simpleware) and Slicer. Cooperating with manufacturers of 3D printers such as: Sinterit, 3D-Lab, StrataSYS, \u200b\u200bhe also works as a volunteer at the e-Nable Polska foundation as: segmentation specialist. The owner of the company Medical Image Segmentation Initieative (misi.com.pl) which, as part of cooperation with OryxMedi, started working on supporting neuronavigation solutions based on advanced analysis and reconstruction of medical imaging.<\/p>[\/et_pb_accordion_item][et_pb_accordion_item title=”Abstrakt” open=”off” _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] [PL]\u00a0<\/strong>Opis bada\u0144 radiologicznych wykonanych przy u\u017cyciu urz\u0105dze\u0144 takich jak np.: tomografia komputerowa, rezonans magnetyczny, ultrasonograf, odbywa si\u0119 na podstawie oceny p\u0142askich obraz\u00f3w reprezentuj\u0105cych anatomi\u0119 pacjenta. Jednak coraz wi\u0119ksz\u0105 popularno\u015bci\u0105 przy opisie bada\u0144 cieszy si\u0119 wykorzystanie nowoczesnych technik wizualizacji takich jak AR czy VR. S\u0142abe punkty technologii AR to np.: brak mo\u017cliwo\u015bci wykorzystania bardzo skomplikowanych siatek czy du\u017ce op\u00f3\u017anienia wy\u015bwietlanego obrazu. Technologia VR wyklucza wcze\u015bniej wymienione mankamenty jednak nie pozwala na jednoczesne postrzeganie\/widzenie pacjenta. Autorzy skupili si\u0119 na innej formie przedstawienia wynik\u00f3w bada\u0144 obrazowych, jest to druk 3D w technologii \u201eVoxel Printing\u201d. Technologia VP pozwala nie tylko na zastosowanie dowolnej kolorystyki przydatnej do oceny, ale i przyporz\u0105dkowanie ka\u017cdemu z wydrukowanych voxeli dowolnej warto\u015bci kolorystycznej. Mo\u017cliwo\u015b\u0107 \u015bcis\u0142ego okre\u015blenia koloru dla ka\u017cdego wydrukowanego voxela ci\u0105gnie za sob\u0105 ogromny mankament wynikaj\u0105cy z faktu, i\u017c ka\u017cdy z nich musi stanowi\u0107 osobny obiekt. W przypadku, kiedy takich voxeli jest znacz\u0105ca ilo\u015b\u0107, dla przyk\u0142adu 45 000 000, w\u0105skim gard\u0142em jest nie tylko moc obliczeniowa komputera, ale i ilo\u015b\u0107 danych kt\u00f3rym nale\u017cy przyporz\u0105dkowa\u0107 warto\u015bci. Autorzy wykorzystali w swojej pracy dwie technologi\u0119, jedn\u0105 z nich jest zastosowanie standardowych modeli w formie \u201emesh\u201d, druga to autorska metoda opisywan\u0105 jako: \u201etechnologia pracy na przekrojach\u201d.<\/p>\n [ENG]\u00a0<\/strong>The description of radiological examinations performed with the use of devices such as computed tomography, magnetic resonance imaging, ultrasound is based on the assessment of flat images representing the patient’s anatomy. However, the use of modern visualization techniques such as AR or VR is becoming more and more popular when describing research. Weak points of AR technology include, for example, the inability to use very complex grids or large delays in the displayed image. VR technology excludes the aforementioned drawbacks, however, it does not allow for the simultaneous perception \/ vision of the patient. The authors focused on a different form of presenting the results of imaging tests, it is 3D printing in the “Voxel Printing” technology. The VP technology allows not only the use of any color useful for evaluation, but also assigning any color value to each of the printed voxels. The ability to accurately determine the color for each printed voxel has a huge drawback due to the fact that each of them must be a separate object. In the case when there is a significant amount of such voxels, for example 45,000,000, the bottleneck is not only the computing power of the computer but also the amount of data to which values \u200b\u200bshould be assigned. The authors used two technologies in their work, one of them is the use of standard models in the form of “mesh”, the other is the proprietary method described as: “cross-section technology”.<\/p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n\n","protected":false},"excerpt":{"rendered":" Pawe\u0142 OZGA Akademia Sztuk Pi\u0119knych im. Jana Matejki w Krakowie | Jan Matejko Academy of Fine Arts in Krak\u00f3wUniwersytet Jagiello\u0144ski, Collegium Medicum | Jagiellonian University, Collegium Medicum Polska | Poland Voxel printing \u2013 wykorzystanie druku 3D w oparciu o technologi\u0119 “voxel printing” do uzupe\u0142nienia warto\u015bci diagnostycznych obrazowani medycznego w oparciu o badanie tensora dyfuzji wody […]<\/p>\n","protected":false},"author":1,"featured_media":57,"template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[27,26,118,119,122,123,120,121],"project_tag":[],"class_list":["post-676","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-3d-printing","project_category-druk-3d","project_category-dti","project_category-dti-mr","project_category-neurochirurgia","project_category-neurosurgery","project_category-segmentacja","project_category-segmentation"],"_links":{"self":[{"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/project\/676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/types\/project"}],"author":[{"embeddable":true,"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":3,"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/project\/676\/revisions"}],"predecessor-version":[{"id":679,"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/project\/676\/revisions\/679"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/media\/57"}],"wp:attachment":[{"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/media?parent=676"}],"wp:term":[{"taxonomy":"project_category","embeddable":true,"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/project_category?post=676"},{"taxonomy":"project_tag","embeddable":true,"href":"https:\/\/artmediation.art\/index.php\/wp-json\/wp\/v2\/project_tag?post=676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Uniwersytet Jagiello\u0144ski, Collegium Medicum | Jagiellonian University, Collegium Medicum<\/strong><\/p>\n<\/h4>\n
Voxel printing \u2013 wykorzystanie druku 3D w oparciu o technologi\u0119 “voxel printing” do uzupe\u0142nienia warto\u015bci diagnostycznych obrazowani medycznego w oparciu o badanie tensora dyfuzji wody | Voxel printing – The use of 3D printing based on the “voxel printing” technology to supplement the diagnostic values of medical imaging based on the examination of the water diffusion tensor<\/strong><\/h4>\n