Literature DB >> 34476750

Modernizing Medical Museums Through the 3D Digitization of Pathological Specimens.

Kristen E Pearlstein1, Terrie Simmons-Ehrhardt2, Brian F Spatola3, Bernard K Means2, Mary R Mani4.   

Abstract

The anatomical collections at the National Museum of Health and Medicine (NMHM) contain skeletal specimens that highlight the history of military and civilian medicine dating from the American Civil War and the founding of the museum as the Army Medical Museum in 1862. Today, NMHM curates over 6400 gross skeletal specimens consisting primarily of pathological or anomalous single bone elements that display a variety of pathological conditions, including congenital anomalies, neoplasms, healed and unhealed trauma and infectious diseases, and surgical interventions such as amputations and excisions. In an effort to increase accessibility to these pathological specimens, NMHM is collaborating with Virginia Commonwealth University (VCU) and the Laboratory Division of the Federal Bureau of Investigation (FBI) to digitize and disseminate high-quality 3D models via online portals, enabling scholars and educators to manipulate, analyze, and 3D print the models from anywhere in the world. Many institutions with courses in paleopathology and forensic anthropology do not have reference collections or access to museum collections for hands-on teaching. Therefore a digital repository of osteological specimens can provide an unprecedented and unique resource of exemplars for scholars and educators. The sharing of these military medical assets improves historical knowledge and diagnostic capabilities in the fields of medicine and anthropology. This chapter outlines the digitization processes that are being utilized to increase access to these pathological skeletal specimens through multimodal 3D capture.
© 2021. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  3D modeling; 3D scanning; Digitization; Medical museum; Micro-computed tomography; Pathology

Mesh:

Year:  2021        PMID: 34476750     DOI: 10.1007/978-3-030-76951-2_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  4 in total

1.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

2.  Fiji: an open-source platform for biological-image analysis.

Authors:  Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

3.  Remains of War: Walt Whitman, Civil War Soldiers, and the Legacy of Medical Collections.

Authors:  Lenore Barbian; Paul S Sledzik; Jeffrey S Reznick
Journal:  Mus Hist J       Date:  2012-01

Review 4.  Laboratory x-ray micro-computed tomography: a user guideline for biological samples.

Authors:  Anton du Plessis; Chris Broeckhoven; Anina Guelpa; Stephan Gerhard le Roux
Journal:  Gigascience       Date:  2017-06-01       Impact factor: 6.524

  4 in total
  1 in total

1.  Extended reality visualization of medical museum specimens: Online presentation of conjoined twins curated by Dr. Jacob Henle between 1844-1852.

Authors:  Brandi S Mikami; Thomas E Hynd; U-Young Lee; J DeMeo; Jesse D Thompson; Roman Sokiranski; Sara Doll; Scott Lozanoff
Journal:  Transl Res Anat       Date:  2022-02-16
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.