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Real color volume model of cadaver for learning cardiac computed tomographs and echocardiographs

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Abstract

Purpose

It is difficult for medical students and novice clinicians to interpret cardiac computed tomographs and echocardiographs. This study was intended to help familiarize them with the clinical images of the heart by providing software to browse the various planes of a heart’s volume model with real color and high resolution.

Methods

On the sectioned images of a male cadaver, the heart and adjacent structures were segmented to obtain color-filled images. Volume models of the sectioned images and color-filled images were reconstructed and sectioned to obtain three orthogonal planes and five standard oblique planes. The planes were inputted into lab-made browsing software, which was then distributed free of charge.

Results

Users of the software would hopefully progress as follows. After experiencing the real color and high resolution, they would become familiar with the grayscale and low resolution. After experiencing the automatic annotation of the basic heart structures, they would become familiar with the detailed structures. After experiencing the designated planes, they would become familiar with the arbitrary planes. After experiencing the still heart, they would become familiar with the moving heart during echocardiography.

Conclusion

The software, with a user-friendly interface and realistic features, is expected to properly orient medical novices to cardiac computed tomography and echocardiography images.

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References

  1. AbouHashem Y, Dayal M, Savanah S, Štrkalj G (2015) The application of 3D printing in anatomy education. Med Educ Online 20:29847

    Article  Google Scholar 

  2. Budoff MJ, Shinbane JS (2016) Cardiac CT imaging: diagnosis of cardiovascular disease. Springer, Germany

    Book  Google Scholar 

  3. Callahan JA, Seward JB, Tajik AJ (1985) Cardiac tamponade: pericardiocentesis directed by two-dimensional echocardiography. Mayo Clin Proc 60:344–347

    Article  CAS  Google Scholar 

  4. Chung BS, Chung MS (2018) Homepage to distribute the anatomy learning contents including Visible Korean products comics and books. Anat Cell Biol 51:7–13

    Article  Google Scholar 

  5. Chung BS, Chung MS (2019) Four learning tools of the Visible Korean contributing to virtual anatomy. Surg Radiol Anat 41:1211–1216

    Article  Google Scholar 

  6. Chung BS, Park JS (2019) Real-color volume models made from real-color sectioned images of Visible Korean. J Korean Med Sci 34:e86

    Article  Google Scholar 

  7. Feuchtner GM, Alkadhi H, Karlo C, Sarwar A, Meier A, Dichtl W, Leschka S, Blankstein R, Gruenenfelder J, Stolzmann P, Cury RC (2010) Cardiac CT angiography for the diagnosis of mitral valve prolapse: comparison with echocardiography. Radiol 254:374–383

    Article  Google Scholar 

  8. Finn GM, Sawdon M, Griksaitis M (2012) The additive effect of teaching undergraduate cardiac anatomy using cadavers and ultrasound echocardiography. Eur J Anat 16:199–205

    Google Scholar 

  9. Gottdiener JS, Bednarz J, Devereux R, Gardin J, Klein A, Manning WJ, Morehead A, Kitzman D, Oh J, Quinones M, Schiller NB (2004) American Society of Echocardiography recommendations for use of echocardiography in clinical trials: a report from the american society of echocardiography’s guidelines and standards committee and the task force on echocardiography in clinical trials. J Am Soc Echocardiogr 17:1086–1119

    PubMed  Google Scholar 

  10. Ho SY, Nihoyannopoulos P (2006) Anatomy, echocardiography, and normal right ventricular dimensions. Heart 92:i2–i13

    Article  Google Scholar 

  11. Kim SC, Fisher JG, Delman KA (2016) Cadaver-based simulation increases resident confidence initial exposure to fundamental techniques and may augment operative autonomy. J Surg Educ 73:e33–e41

    Article  Google Scholar 

  12. Kiourexidou M, Natsis K, Bamidis P (2015) Augmented reality for the study of human heart anatomy. Int J Electr Comm Comput Eng 6:658–663

    Google Scholar 

  13. Kondo C, Mori S, Endo M, Kusakabe K, Suzuki N, Hattori A, Kusakabe M (2005) Real-time volumetric imaging of human heart without electrocardiographic gating by 256-detector row computed tomography: initial experience. J Comput Assist Tomogr 29:694–698

    Article  Google Scholar 

  14. Kwon K, Chung MS, Park JS, Shin BS, Chung BS (2017) Improved software to browse the serial medical images for learning. J Korean Med Sci 32:1195–1201

    Article  Google Scholar 

  15. Li X, Morgan PS, Ashburner J (2016) The first step for neuroimaging data analysis: DICOM to NIfTI conversion. J Neurosci Methods 264:47–56

    Article  Google Scholar 

  16. Manning EP, Mishall PL, Weidmann MD (2018) Early and prolonged opportunities to practice suturing increases medical student comfort with suturing during clerkships: suturing during cadaver dissection. Anat Sci Educ 11:605–612

    Article  Google Scholar 

  17. Mori S, Anderson RH, Takaya T, Toba T, Ito T, Fujiwara S, Watanabe Y, Nishii T, Kono AK, Hirata KI (2017) The association between wedging of the aorta and cardiac structural anatomy as revealed using multidetector-row computed tomography. J Anat 231:110–120

    Article  Google Scholar 

  18. Mori S, Kondo C, Suzuki N (2005) Volumetric cine imaging for cardiovascular circulation using prototype 256-detector row computed tomography scanner (4-dimensional computed tomography): a preliminary study with a porcine model. J Comput Assist Tomogr 29:26–30

    Article  Google Scholar 

  19. Oh CS, Kim JY, Choe YH (2009) Learning of cross-sectional anatomy using clay models. Anat Sci Educ 2:156–159

    Article  Google Scholar 

  20. Otto CM (2004) Textbook of clinical echocardiography, 3rd edn. WB Saunders, Philadelphia

    Google Scholar 

  21. Park HS, Choi DH, Park JS (2015) Improved sectioned images and surface models of the whole female body. Int J Morphol 33:1323–1332

    Article  Google Scholar 

  22. Park JS, Chung MS, Hwang SB, Lee YS, Har DH, Park HS (2005) Visible Korean human: improved serially sectioned images of the entire body. IEEE Trans Med Imaging 24:352–360

    Article  Google Scholar 

  23. Saremi F, Sánchez-Quintana D, Mori S, Muresian H, Spicer DE, Hassani C, Anderson RH (2017) Fibrous skeleton of the heart: anatomic overview and evaluation of pathologic conditions with CT and MR imaging. Radiographics 37:1330–1351

    Article  Google Scholar 

  24. Seward JB, Tajik AJ, Edwards WD, Hagler DJ (2012) Two-dimensional echocardiographic atlas: volume 1 congenital heart disease. Springer, Germany

    Google Scholar 

  25. Shin DS, Chung MS, Park JS, Park HS, Lee S, Moon YL, Hang HG (2012) Portable document format file showing the surface models of cadaver whole body. J Korean Med Sci 27:849–856

    Article  Google Scholar 

  26. Shin DS, Lee S, Park HS, Lee SB, Chung MS (2015) Segmentation and surface reconstruction of a cadaver heart on Mimics software. Folia Morphol 74:372–377

    Article  CAS  Google Scholar 

  27. Shin DS, Park JS, Park HS, Hwang SB, Chung MS (2012) Outlining of the detailed structures in sectioned images from Visible Korean. Surg Radiol Anat 34:235–247

    Article  Google Scholar 

  28. Yu FF, Lu B, Gao Y, Hou ZH, Schoepf UJ, Spearman JV, Cao HL, Sun ML, Jiang SL (2013) Congenital anomalies of coronary arteries in complex congenital heart disease: diagnosis and analysis with dual-source CT. J Cardiovasc Comput Tomogr 7:383–390

    Article  Google Scholar 

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Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1F1A1059842).

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Authors

Contributions

BSC data collection, data analysis, manuscript writing and manuscript editing. MSC project development and manuscript writing.

Corresponding author

Correspondence to Min Suk Chung.

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Conflict of interest

The authors declare that there are no conflicts of interest related to this report.

Ethical approval

The whole process for this study was approved by the institutional review board (AJIRB-MED-MDB-18–315). Informed consent to use the cadaver for research and education was acquired from the donor and the families.

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Chung, B.S., Chung, M.S. Real color volume model of cadaver for learning cardiac computed tomographs and echocardiographs. Surg Radiol Anat 43, 569–576 (2021). https://doi.org/10.1007/s00276-021-02713-w

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  • DOI: https://doi.org/10.1007/s00276-021-02713-w

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