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Advantages of Using Magnetic Resonance Arteriogram Images to Create 3D Virtual Anatomic Vasculature Models
Author(s) -
Yang Gongchao,
Storrs Judd,
Lynch James C.,
Lehman Michael N.,
Cui Dongmei
Publication year - 2018
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2018.32.1_supplement.641.7
Subject(s) - magnetic resonance imaging , stereoscopy , computer science , 3d model , virtual reality , process (computing) , computed tomography , software , computer vision , medicine , anatomy , radiology , artificial intelligence , programming language , operating system
Computed tomography images are commonly used in creating 3D virtual models for anatomical education. Recently, use of computed tomography arteriogram (CTA) images has been reported for construction of vascular virtual models for anatomy teaching, but small blood vessels are difficult to capture during the creation process. High contrast Magnetic Resonance Arteriogram (MRA) images offer better resolution for visualizing and capturing the small branches of the cerebral vasculature than CTA images. In order to develop better vascular models, improving the quality of models and their effectiveness as teaching tools, we used MRA Images as a source and combined the images using a new, innovative, semi‐auto‐combination technique. We used Amira software to develop 3D virtual models that can be presented stereoscopically in a virtual reality environment. The images and models are virtually displayed in stereo mode and viewed by students wearing polarized 3D glasses allowing enlargement, rotation in 360 degrees and in any plane. The stereoscopic 3D Magnetic Resonance Arteriogram models allow students to view and interact with normal and abnormal cerebral vasculature, including posterior cerebral artery hemorrhage in greater detail than has previously been possible. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .