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Beltrami EJ, Gronbeck C, Jain N, Hargis G, Feng H, Grant-Kels JM, Sloan B. Surface anatomy in dermatology: Part I-Clinical importance, diagnostic utility, and impact on medical management. J Am Acad Dermatol 2024; 91:207-220. [PMID: 37429436 DOI: 10.1016/j.jaad.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/27/2023] [Accepted: 07/02/2023] [Indexed: 07/12/2023]
Abstract
This continuing medical education series reviews updated Delphi consensus surface anatomy terminology through the lens of common medical and procedural dermatology scenarios, helping to underscore high-yield points that can be readily integrated into clinical practice to support patient care. Part I of this series will discuss the current state of surface anatomy terminology in dermatology, outline implications of precise and consistent terminology, provide an illustrative overview of high-yield consensus terminology, highlight prominent landmarks that can aid in critical diagnoses, and relate the importance of precise terminology to medical management. Part II will draw upon consensus terminology to inform the management of cutaneous malignancies and support optimal outcomes in dermatologic procedures.
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Affiliation(s)
- Eric J Beltrami
- University of Connecticut School of Medicine, Farmington, Connecticut
| | - Christian Gronbeck
- Department of Dermatology, University of Connecticut Health Center, Farmington, Connecticut
| | - Neelesh Jain
- Department of Dermatology, University of Connecticut Health Center, Farmington, Connecticut
| | - Geneva Hargis
- University of Connecticut School of Medicine, Farmington, Connecticut
| | - Hao Feng
- Department of Dermatology, University of Connecticut Health Center, Farmington, Connecticut.
| | - Jane M Grant-Kels
- Department of Dermatology, University of Connecticut Health Center, Farmington, Connecticut; Department of Dermatology, University of Florida College of Medicine, Gainesville, Florida
| | - Brett Sloan
- Department of Dermatology, University of Connecticut Health Center, Farmington, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
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Kim CY, Chung MS, Park JS. Visible Korean based on true color sectioned images for making realistic digital human, twenty years' record: a review. Surg Radiol Anat 2024; 46:935-947. [PMID: 38717503 DOI: 10.1007/s00276-024-03381-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/02/2024] [Indexed: 07/03/2024]
Abstract
PURPOSE Visible Korean (VK) consists of two-dimensional (2D) images and three-dimensional (3D) models. The VK is used in various educational tools and research sources for anatomy. In this paper, we report on the records of the VK over 20 years. METHODS Research papers related to Visible Korean were reviewed. RESULTS Through this report of VK records, we highlighted the essential points for making true color and ultra-high-resolution sectioned images of human and animal bodies, for making various 2D and 3D applications from the sectioned images, and for good use of the sectioned images and their applications. CONCLUSION In this metaverse age that various virtual environments are required in medical education and research, the VK dataset meets the reality of virtual human models as fundamental data owing to the actual color and high resolution of the VK dataset.
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Affiliation(s)
- Chung Yoh Kim
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea
| | - Min Suk Chung
- Department of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jin Seo Park
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea.
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Brumpt E, Bertin E, Gabrion X, Coussens C, Tatu L, Louvrier A. Are 3D-printed anatomical models of the ear effective for teaching anatomy? A comparative pilot study versus cadaveric models. Surg Radiol Anat 2024; 46:103-115. [PMID: 38231228 DOI: 10.1007/s00276-023-03276-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/27/2023] [Indexed: 01/18/2024]
Abstract
PURPOSE Despite the combination of chalkboard lectures and cadaveric models, the ear remains a complex anatomical structure that is difficult for medical students to grasp. The aim of this study was to evaluate the contribution of a 3D-printed ear model for educating undergraduate medical students by comparing it with a conventional cadaveric model. METHODS Models of the ear comprising the outer ear, tympanic membrane, ossicles and inner ear were modeled and then 3D-printed at 6:1 and 10:1 scales based on cadaveric dissection and CT, cone-beam CT and micro/nano CT scans. Cadaveric models included two partially dissected dry temporal bones and ossicles. Twenty-four 3rd year medical students were given separate access to cadaveric models (n = 12) or 3D-printed models (n = 12). A pre-test and two post-tests were carried out to assess knowledge (n = 24). A satisfaction questionnaire focusing solely on the 3D-printed model, comprising 17 items assessed on a 5-point Likert scale, was completed by all study participants. A 5-point Likert scale questionnaire comprising four items (realism, color, quality and satisfaction with the 3D-printed ear model) was given to three expert anatomy Professors. RESULTS The test scores on the first post-test were higher for the students who had used the 3D-printed models (p < 0.05). Overall satisfaction among the students and the experts was very high, averaging 4.7 on a 5-point Likert-type satisfaction scale. CONCLUSION This study highlights the overall pedagogical value of a 3D-printed model for learning ear anatomy.
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Affiliation(s)
- Eléonore Brumpt
- Département d'Anatomie, University Franche-Comté, UFRSanté, 19 Rue Ambroise-Paré CS 71806, 25000, Besançon, France.
- Radiologie, CHU Besançon, 25000, Besançon, France.
- Laboratoire Nano MédecineImagerieThérapeutique, University Franche-Comté, EA 4662, 25000, Besançon, France.
| | - Eugénie Bertin
- Département d'Anatomie, University Franche-Comté, UFRSanté, 19 Rue Ambroise-Paré CS 71806, 25000, Besançon, France
- Chirurgie Maxillo-FacialeStomatologie et Odontologie Hospitalière, CHU Besançon, 25000, Besançon, France
| | - Xavier Gabrion
- Département de Mécanique Appliquée, University Franche-Comté, FEMTO-ST, CNRS/UFC/ENSMM/UTBM, 25000, Besançon, France
| | - Camille Coussens
- Plateforme I3DM (Impression 3D Médicale), CHU Besançon, 25000, Besançon, France
| | - Laurent Tatu
- Département d'Anatomie, University Franche-Comté, UFRSanté, 19 Rue Ambroise-Paré CS 71806, 25000, Besançon, France
- Neurologie, CHU Besançon, 25000, Besançon, France
- Laboratoire de Neurosciences Intégratives et Cliniques, University Franche-Comté, EA 481, 25000, Besançon, France
| | - Aurélien Louvrier
- Laboratoire Nano MédecineImagerieThérapeutique, University Franche-Comté, EA 4662, 25000, Besançon, France
- Chirurgie Maxillo-FacialeStomatologie et Odontologie Hospitalière, CHU Besançon, 25000, Besançon, France
- Plateforme I3DM (Impression 3D Médicale), CHU Besançon, 25000, Besançon, France
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You Y, Park JS. A Novel Human Brainstem Map Based on True-Color Sectioned Images. J Korean Med Sci 2023; 38:e76. [PMID: 36918030 PMCID: PMC10010912 DOI: 10.3346/jkms.2023.38.e76] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/14/2022] [Indexed: 03/06/2023] Open
Abstract
BACKGROUND Existing atlases for the human brainstem were generated from magnetic resonance images or traditional histologically stained slides, but both are insufficient for the identification of detailed brainstem structures at uniform intervals. METHODS A total of 319 sectioned images of the brainstem were selected from whole-body axial sectioned images, then coronal and sagittal sectioned images were reconstructed from the horizontal images. The fine and detailed structures were annotated in PowerPoint slides, then the volume model was produced and some white matter fibers were traced using MRIcroGL. RESULTS In this study, a novel brainstem atlas based on sectioned images was generated that shows the true color and shape, as well as the accurate location of the nuclei and tracts; it reveals the striking contrast between gray and white matter, as well as fine structures. In total, 212 structures, including nuclei and tracts, were annotated in axial, coronal, and sagittal plane views of sectioned images (48-bit true color; 0.2 mm intervals, 0.06 mm × 0.06 mm pixel size). To verify the accuracy of the annotations, a volume model of the brainstem was constructed for independent observations of the three planes. CONCLUSION In this paper, we describe several interesting structures included in the atlas. By depicting the fine structures of the human brainstem in detail, this atlas allows comprehensive understanding of the complicated topographies of the brainstem. As such, it will be of value for neuroanatomy education and research, in addition to enriching the literature on the human brain.
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Affiliation(s)
- Yaqian You
- Department of Anatomy, Dongguk University School of Medicine, Gyeongju, Korea
| | - Jin Seo Park
- Department of Anatomy, Dongguk University School of Medicine, Gyeongju, Korea.
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Guzman-Perez HG, Guzman-Lopez S, Villarreal-Del Bosque IS, Villarreal-Del Bosque N, Quiroga-Garza A, Treviño-González JL, Pinales-Razo R, Muñoz-Leija MA, Elizondo-Omaña RE. Cochlear morphometry in healthy ears of a mexican population: A comparison of measurement techniques. Morphologie 2021; 106:169-176. [PMID: 34384680 DOI: 10.1016/j.morpho.2021.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/20/2021] [Accepted: 07/21/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVE This study describes the cochlear morphometry of a mexican population analysed by laterality and sex. The objective is to compare Cochlear Length (CL) evaluation between Alexiades et al. formula and manual method described by Würfel et al. PATIENTS: Hispanic patients from Mexico, with an age of 18 years or older, were included. Morphometric examination was performed retrospectively on 200 subjects who underwent previously temporal bone imaging for clinical purposes. MATERIALS AND METHODS Horos for Mac program was used to measure CL, cochlear height, distance A, and distance B. WorkStation AW Volume Share 2 was used to obtain volume. CL was measured in 400 temporal bones (228 females, 172 males). RESULTS The mean CL was 34.02mm±2.15mm. A significant difference was found in all variables between sex (P=≤0.05) and laterality (P=≤0.05). The Alexiades equation was used for determining CL and compared with the manual formula, with no significant differences (κ=0.71). However, the time consumption was 5 times faster with the calculated method. The Alexiades formula was demonstrated to be a reliable method measurement. CONCLUSION Preoperative Computed Tomography evaluation of the internal ear helps to plan the Cochlear Implants (CI) surgical approach and allows to choose an appropriate electrode length for each necessity. Our findings may be useful to facilitate and adapt preoperative management of CI surgery by considering the characteristics of cochlear morphology of Latin-American populations.
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Affiliation(s)
- H G Guzman-Perez
- Human Anatomy Department, Medicine Faculty, Universidad Autónoma-de-Nuevo-León, avenue Francisco I. Madero y Dr. Aguirre-Pequeño s/n, Mitras-Centro, 64460 Monterrey, (Nuevo León), Mexico.
| | - S Guzman-Lopez
- Human Anatomy Department, Medicine Faculty, Universidad Autónoma-de-Nuevo-León, avenue Francisco I. Madero y Dr. Aguirre-Pequeño s/n, Mitras-Centro, 64460 Monterrey, (Nuevo León), Mexico
| | - I S Villarreal-Del Bosque
- Radiology and Imaging Department, Medicine Faculty, Universidad Autónoma de Nuevo León, University Hospital: "Dr. José-Eleuterio-González", avenue Francisco I.-Madero-y-Gonzalitos s/n, Mitras Centro, 64460 Monterrey, (Nuevo León), Mexico
| | - N Villarreal-Del Bosque
- Radiology and Imaging Department, Medicine Faculty, Universidad Autónoma de Nuevo León, University Hospital: "Dr. José-Eleuterio-González", avenue Francisco I.-Madero-y-Gonzalitos s/n, Mitras Centro, 64460 Monterrey, (Nuevo León), Mexico
| | - A Quiroga-Garza
- Human Anatomy Department, Medicine Faculty, Universidad Autónoma-de-Nuevo-León, avenue Francisco I. Madero y Dr. Aguirre-Pequeño s/n, Mitras-Centro, 64460 Monterrey, (Nuevo León), Mexico
| | - J L Treviño-González
- Otorhinolaryngology and Head and Neck Surgery Department, Medicine Faculty and University Hospital: "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León, avenue Francisco I. Madero y Gonzalitos s/n, Mitras Centro, 64460 Monterrey, (Nuevo León), Mexico.
| | - R Pinales-Razo
- Radiology and Imaging Department, Medicine Faculty, Universidad Autónoma de Nuevo León, University Hospital: "Dr. José-Eleuterio-González", avenue Francisco I.-Madero-y-Gonzalitos s/n, Mitras Centro, 64460 Monterrey, (Nuevo León), Mexico
| | - M A Muñoz-Leija
- Human Anatomy Department, Medicine Faculty, Universidad Autónoma-de-Nuevo-León, avenue Francisco I. Madero y Dr. Aguirre-Pequeño s/n, Mitras-Centro, 64460 Monterrey, (Nuevo León), Mexico
| | - R E Elizondo-Omaña
- Human Anatomy Department, Medicine Faculty, Universidad Autónoma-de-Nuevo-León, avenue Francisco I. Madero y Dr. Aguirre-Pequeño s/n, Mitras-Centro, 64460 Monterrey, (Nuevo León), Mexico.
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Kim CY, Jung YW, Park JS. The Visible Korean: movable surface models of the hip joint. Surg Radiol Anat 2021; 43:559-566. [PMID: 33550473 DOI: 10.1007/s00276-021-02697-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/23/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE In this study, we presented movable surface models to help medical students understand the multiaxial movements of the hip joint. The secondary objective was to demonstrate a simple method to make movable surface models for other researchers. METHODS We used 166 surface models of the virtual human, and the commercial software was used for all the processes described in this study. Virtual joints were created for the hip joint of the surface models to simulate realistic movements of the joints. Bone surface models were processed to maintain the original shape of the bones during movement. Muscle surface models were processed to express deformation of the muscle shapes during movement. Next, the muscle and bone surface models were moved over six movements of the hip joint (flexion, extension, abduction, adduction, lateral rotation, and medial rotation). The surface models of these six movements were saved and packaged in a PDF file. RESULTS The PDF file enabled users to see the stereoscopic shapes of the bones and muscles of the hip joint and to scrutinize the six movements on the X, Y, and Z axes of the joint. CONCLUSION The movable surface models of the hip joint of this study will be helpful for medical students to learn the multiaxial movements of the hip joint. We expect to develop simulations of other joints that can be used in the education of medical students using the materials and methods described in this study.
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Affiliation(s)
- Chung Yoh Kim
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea
| | - Yong Wook Jung
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea
| | - Jin Seo Park
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju, 38066, Republic of Korea.
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7
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Chen XD, Ma QJ, Wang J, Zhou YS, Geng MY, Gao CS, Gao P, Li Y. The Creation of an Experimental Data Set Containing Coronal Section Images of a Human Head. EAR, NOSE & THROAT JOURNAL 2021; 101:37S-42S. [PMID: 33474979 DOI: 10.1177/0145561321989432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES The aim of the research is to create an experimental data set of coronal section images of a human head. METHODS The head of a 49-year-old male cadaver was scanned by computed tomography (CT), then perfused with a green filling material via the bilateral common carotid artery, before being frozen and embedded. The head was sectioned along the coronal plane by a computer-controlled 5520 engraving and milling machine, capable of either 0.03-mm or 0.06-mm interspacing. All images were captured with a Canon 5D-Mk III digital camera. RESULTS A total of 3854 section images were obtained, each with a resolution of 5760 × 3840 pixels. The number of section images at 0.03- and 0.06-mm interspacing were 1437 and 2417, respectively. All the images were stored in JPG and RAW formats. The image size of each RAW format was about 24.5 MB, whereas for JPG format, the equivalent size was about 5.9 MB. All the RAW and JPG images together occupied 117.35 GB of disk space. CONCLUSIONS The interspacing of this data set section was thinner than those of any comparable studies, and the image resolution was higher, too. This data set was also the first to take coronal sections of the human head. The data set contains image information from the smallest structures within the human head and can satisfy the needs of future developments and applications, such as the virtual operation training systems for otolaryngology, ophthalmology, stomatology, and neurosurgery, and help develop medical teaching software and maps.
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Affiliation(s)
- Xiang-Dong Chen
- Department of Otolaryngology, Head and Neck Surgery, Affiliated General Hospital of Shenzhen University, Shenzhen, China
| | - Qiong-Jie Ma
- Department of Otorhinolaryngology, Head and Neck Surgery, The Second Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Jun Wang
- Department of Otolaryngology, Head and Neck Surgery, Affiliated General Hospital of Shenzhen University, Shenzhen, China
| | | | - Man-Ying Geng
- Department of Otorhinolaryngology, Head and Neck Surgery, The Second Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | | | - Pan Gao
- Department of Otolaryngology, Head and Neck Surgery, Affiliated General Hospital of Shenzhen University, Shenzhen, China
| | - Yan Li
- Department of Otolaryngology, Head and Neck Surgery, Affiliated General Hospital of Shenzhen University, Shenzhen, China
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Navarrete-Dechent C, Liopyris K, Molenda MA, Braun R, Curiel-Lewandrowski C, Dusza SW, Guitera P, Hofmann-Wellenhof R, Kittler H, Lallas A, Malvehy J, Marchetti MA, Oliviero M, Pellacani G, Puig S, Soyer HP, Tejasvi T, Thomas L, Tschandl P, Scope A, Marghoob AA, Halpern AC. Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration. J Eur Acad Dermatol Venereol 2020; 34:2659-2663. [PMID: 32770737 DOI: 10.1111/jdv.16855] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 07/29/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND There is no internationally vetted set of anatomic terms to describe human surface anatomy. OBJECTIVE To establish expert consensus on a standardized set of terms that describe clinically relevant human surface anatomy. METHODS We conducted a Delphi consensus on surface anatomy terminology between July 2017 and July 2019. The initial survey included 385 anatomic terms, organized in seven levels of hierarchy. If agreement exceeded the 75% established threshold, the term was considered 'accepted' and included in the final list. Terms added by the participants were passed on to the next round of consensus. Terms with <75% agreement were included in subsequent surveys along with alternative terms proposed by participants until agreement was reached on all terms. RESULTS The Delphi included 21 participants. We found consensus (≥75% agreement) on 361/385 (93.8%) terms and eliminated one term in the first round. Of 49 new terms suggested by participants, 45 were added via consensus. To adjust for a recently published International Classification of Diseases-Surface Topography list of terms, a third survey including 111 discrepant terms was sent to participants. Finally, a total of 513 terms reached agreement via the Delphi method. CONCLUSIONS We have established a set of 513 clinically relevant terms for denoting human surface anatomy, towards the use of standardized terminology in dermatologic documentation.
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Affiliation(s)
- C Navarrete-Dechent
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - K Liopyris
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Andreas Syggros Hospital of Cutaneous & Venereal Diseases, University of Athens, Athens, Greece
| | | | - R Braun
- Department of Dermatology, University Hospital Zürich, Zurich, Switzerland
| | - C Curiel-Lewandrowski
- Department of Dermatology, The University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA
| | - S W Dusza
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - P Guitera
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | | | - H Kittler
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - A Lallas
- First Department of Dermatology, Aristotle University, Thessaloniki, Greece
| | - J Malvehy
- Melanoma Unit, Department of Dermatology, Hospital Clinic, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,CIBER de Enfermedades Raras, Instituto de Salud Carlos III, Barcelona, Spain
| | - M A Marchetti
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - M Oliviero
- Dermatology Associates, Plantation, FL, USA
| | - G Pellacani
- Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy
| | - S Puig
- Melanoma Unit, Department of Dermatology, Hospital Clinic, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,CIBER de Enfermedades Raras, Instituto de Salud Carlos III, Barcelona, Spain
| | - H P Soyer
- Dermatology Research Center, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia
| | - T Tejasvi
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
| | - L Thomas
- Service de Dermatologie, Centre Hospitalier Lyon Sud, Lyon 1 University and Cancer Research Center of Lyons INSERM U1052 - CNRS UMR5286, Lyon, France
| | - P Tschandl
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - A Scope
- The Kittner Skin Cancer Screening and Research Institute, Sheba Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - A A Marghoob
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A C Halpern
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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9
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Chung BS, Han M, Har D, Park JS. Advanced Sectioned Images of a Cadaver Head with Voxel Size of 0.04 mm. J Korean Med Sci 2019; 34:e218. [PMID: 31456382 PMCID: PMC6717240 DOI: 10.3346/jkms.2019.34.e218] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 07/22/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The sectioned images of a cadaver head made from the Visible Korean project have been used for research and educational purposes. However, the image resolution is insufficient to observe detailed structures suitable for experts. In this study, advanced sectioned images with higher resolution were produced for the identification of more detailed structures. METHODS The head of a donated female cadaver was scanned for 3 Tesla magnetic resonance images and diffusion tensor images (DTIs). After the head was frozen, the head was sectioned serially at 0.04-mm intervals and photographed repeatedly using a digital camera. RESULTS On the resulting 4,000 sectioned images (intervals and pixel size, 0.04 mm³; color depth, 48 bits color; a file size, 288 Mbytes), minute brain structures, which can be observed not on previous sectioned images but on microscopic slides, were observed. The voxel size of this study (0.04 mm³) was very minute compared to our previous study (0.1 mm³; resolution, 4,368 × 2,912) and Visible Human Project of the USA (0.33 mm³; resolution, 2,048 × 2,048). Furthermore, the sectioned images were combined with tractography of the DTIs to elucidate the white matter with high resolution and the actual color of the tissue. CONCLUSION The sectioned images will be used for diverse research, including the applications for the cross sectional anatomy and three-dimensional models for virtual experiments.
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Affiliation(s)
- Beom Sun Chung
- Department of Anatomy, Ajou University School of Medicine, Suwon, Korea
| | - Miran Han
- Department of Radiology, Ajou University School of Medicine, Suwon, Korea
| | - Donghwan Har
- College of ICT Engineering, Chung Ang University, Seoul, Korea
| | - Jin Seo Park
- Department of Anatomy, Dongguk University School of Medicine, Gyeongju, Korea.
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10
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Newe A, Becker L. Three-Dimensional Portable Document Format (3D PDF) in Clinical Communication and Biomedical Sciences: Systematic Review of Applications, Tools, and Protocols. JMIR Med Inform 2018; 6:e10295. [PMID: 30087092 PMCID: PMC6103636 DOI: 10.2196/10295] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Revised: 05/07/2018] [Accepted: 05/24/2018] [Indexed: 12/20/2022] Open
Abstract
Background The Portable Document Format (PDF) is the standard file format for the communication of biomedical information via the internet and for electronic scholarly publishing. Although PDF allows for the embedding of three-dimensional (3D) objects and although this technology has great potential for the communication of such data, it is not broadly used by the scientific community or by clinicians. Objective The objective of this review was to provide an overview of existing publications that apply 3D PDF technology and the protocols and tools for the creation of model files and 3D PDFs for scholarly purposes to demonstrate the possibilities and the ways to use this technology. Methods A systematic literature review was performed using PubMed and Google Scholar. Articles searched for were in English, peer-reviewed with biomedical reference, published since 2005 in a journal or presented at a conference or scientific meeting. Ineligible articles were removed after screening. The found literature was categorized into articles that (1) applied 3D PDF for visualization, (2) showed ways to use 3D PDF, and (3) provided tools or protocols for the creation of 3D PDFs or necessary models. Finally, the latter category was analyzed in detail to provide an overview of the state of the art. Results The search retrieved a total of 902 items. Screening identified 200 in-scope publications, 13 covering the use of 3D PDF for medical purposes. Only one article described a clinical routine use case; all others were pure research articles. The disciplines that were covered beside medicine were many. In most cases, either animal or human anatomies were visualized. A method, protocol, software, library, or other tool for the creation of 3D PDFs or model files was described in 19 articles. Most of these tools required advanced programming skills and/or the installation of further software packages. Only one software application presented an all-in-one solution with a graphical user interface. Conclusions The use of 3D PDF for visualization purposes in clinical communication and in biomedical publications is still not in common use, although both the necessary technique and suitable tools are available, and there are many arguments in favor of this technique. The potential of 3D PDF usage should be disseminated in the clinical and biomedical community. Furthermore, easy-to-use, standalone, and free-of-charge software tools for the creation of 3D PDFs should be developed.
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Affiliation(s)
- Axel Newe
- Chair of Medical Informatics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.,NewTec GmbH, Pfaffenhofen an der Roth, Germany
| | - Linda Becker
- Chair of Health Psychology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
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11
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Surface models and gradually peeled volume model to explore hand structures. Ann Anat 2017; 211:202-206. [DOI: 10.1016/j.aanat.2017.02.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 12/21/2016] [Accepted: 02/03/2017] [Indexed: 11/23/2022]
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12
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Chung BS, Chung MS, Park JS. Six Walls of the Cavernous Sinus Identified by Sectioned Images and Three-Dimensional Models: Anatomic Report. World Neurosurg 2015; 84:337-44. [DOI: 10.1016/j.wneu.2015.03.049] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2014] [Revised: 03/16/2015] [Accepted: 03/17/2015] [Indexed: 11/30/2022]
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13
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Park JS, Jung YW. Software for browsing sectioned images of a dog body and generating a 3D model. Anat Rec (Hoboken) 2015. [PMID: 26219434 DOI: 10.1002/ar.23200] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The goals of this study were (1) to provide accessible and instructive browsing software for sectioned images and a portable document format (PDF) file that includes three-dimensional (3D) models of an entire dog body and (2) to develop techniques for segmentation and 3D modeling that would enable an investigator to perform these tasks without the aid of a computer engineer. To achieve these goals, relatively important or large structures in the sectioned images were outlined to generate segmented images. The sectioned and segmented images were then packaged into browsing software. In this software, structures in the sectioned images are shown in detail and in real color. After 3D models were made from the segmented images, the 3D models were exported into a PDF file. In this format, the 3D models could be manipulated freely. The browsing software and PDF file are available for study by students, for lecture for teachers, and for training for clinicians. These files will be helpful for anatomical study by and clinical training of veterinary students and clinicians. Furthermore, these techniques will be useful for researchers who study two-dimensional images and 3D models.
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Affiliation(s)
- Jin Seo Park
- Department of Anatomy, College of Medicine, Dongguk University, Gyeongju, Republic of Korea
| | - Yong Wook Jung
- Department of Anatomy, College of Medicine, Dongguk University, Gyeongju, Republic of Korea
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14
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Park HS, Chung MS, Shin DS, Jung YW, Park JS. Whole courses of the oculomotor, trochlear, and abducens nerves, identified in sectioned images and surface models. Anat Rec (Hoboken) 2014; 298:436-43. [PMID: 25212480 DOI: 10.1002/ar.23048] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 07/31/2014] [Accepted: 08/01/2014] [Indexed: 11/11/2022]
Abstract
In medicine, the neuroanatomy of the oculomotor (III), trochlear (IV), and abducens nerves (VI) is learned essentially by cadaver dissection, histological specimens, and MRI. However, these methods have many limitations and it is necessary to compensate for the insufficiencies of previous methods. The aim of this research was to present sectioned images and surface models that allow the whole courses of III, IV, and VI and circumjacent structures to be observed in detail. To achieve this, the structures of whole courses of III, IV, and VI were traced on the sectioned images, and surface models of the structures were reconstructed. As a result, nucleus of III, Edinger-Westphal nucleus, nucleus of IV, and nucleus of VI and their fibers were identified on brainstem in the sectioned images. In the sectioned images, III, IV, and VI passed both sides of the cavernous sinus and entered at the orbit through the superior orbital fissure. In the sectioned images, III, IV, and VI innervated extraocular muscles in orbit. In surface models, the whole courses of III, IV, and VI and circumjacent structures could be explored freely three-dimensionally. The greatest advantage of the sectioned images was that they allowed the whole courses of III, IV, and VI and circumjacent structures to be observed as real colored in an unbroken line. In addition, the surface models allowed the stereoscopic shapes and positions of III, IV, and VI to be comprehended. The sectioned images and surface models could be applied for medical education purposes or training tools. All data generated during this study is available free of charge at anatomy.dongguk.ac.kr/cn/.
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Affiliation(s)
- Hyo Seok Park
- Department of Anatomy, Keimyung University School of Medicine, 1095 Dalgubeol-daero, Daegu, 704-701, Republic of Korea
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Park HS, Shin DS, Cho DH, Jung YW, Park JS. Improved sectioned images and surface models of the whole dog body. Ann Anat 2014; 196:352-9. [PMID: 24986152 DOI: 10.1016/j.aanat.2014.05.036] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Accepted: 05/20/2014] [Indexed: 11/26/2022]
Abstract
The objective of this research was to produce high-quality sectioned images of a whole dog which can be used to create sectional anatomy atlases and three-dimensional (3D) models. A year old female beagle was sacrificed by potassium chloride injection and frozen. The frozen dog was then serially ground using a cryomacrotome. Sectioned surfaces were photographed using a digital camera to create 3555 sectioned images of whole dog body (intervals, 0.2 mm; pixel size, 0.1 mm; 48 bit color). In a sectioned image, structures of dimension greater than 0.1mm could be identified in detail. Photoshop was used to make segmented images of 16 structures. Sectioned and segmented images were stored in browsing software to allow easy access. Segmented images were reconstructed to make surface models of 16 structures using Mimics software and stored in portable document format (PDF) using Adobe 3D Reviewer software. In this research, state-of-art sectioned images and surface models were produced for the dog. The authors hope that the sectioned images produced will become a useful source of software for basic and clinical veterinary medicine, and therefore, are distributing the sectioned images and surface models through browsing software and PDF file available free of charge.
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Affiliation(s)
- Hyo Seok Park
- Department of Anatomy, Keimyung University School of Medicine, 1095 Dalgubeol-daero, Daegu 704-701, Republic of Korea.
| | - Dong Sun Shin
- Department of Anatomy, Ajou University School of Medicine, Suwon 443-749, Republic of Korea.
| | - Dai Hai Cho
- Department of Emergency Medicine, Dongguk University School of Medicine, Gyeongju 780-350, Republic of Korea.
| | - Yong Wook Jung
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju 780-350, Republic of Korea.
| | - Jin Seo Park
- Department of Anatomy, Dongguk University School of Medicine, 87 Dongdae-ro, Gyeongju 780-350, Republic of Korea.
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