There are still many concepts not represented in the data.
There could be many ERRORS to be used as ANATOMICAL EDUCATION.
Some parts were made from scratch by artists or distorted to fit into the environment.
Segmentation into finer pieces may cause confusion in assignment of concepts.
Authors may publish your models at your own risk of inclusion of such errors.
For notion and improvement, please feed back and share the PROBLEMS YOU FIND in the data.
Started from the provided TWITTER function in the BodyParts CARD (right side window) The SUBJECT of the comment ( parts form or its concept label) will be recorded automatically and properly distributed.
Your cooperation will be truly appreciated. -- BodyParts3D team
2012/06/21: BodyParts3D rel 4.0 downloadable as a whole from LSDB archive.
2013/05/16: BodyParts3D rel 4.0 from Editor site. major update for map editor site
2011/06/20: BodyParts3D 3.0 published from editor site release note to rel. 3.0
2010/08/16: data download service at LSDB archive: all Rel.2.0 obj files
2010/07/21: BodyParts3D release 2.0 modeling note
2010/04/28: BodyParts3D release 2.0 with new editor site。release note to rel. 2.0(概要）
For new visitors
What is this site about? (Map editor)
What you can do with BodyParts3D/Anatomography 
For those who cares very much (designed and depicted by Isamu Muto, Bits c.c.)
Data management:Representation and contour file, Versions, Search, Menu
About API mechanism
About BodyParts3D data
Processes for modelling
How do we made contour data
Contour concept mapping HOW DO I MAP OBJ DATA TO FMA CONCEPT 
Mapping results (Obj vs FMA)
Data types (Compound and elementary)
Artists make 3D contour of body parts from scratch or modification of clinical 3D images, scanned plastic models, with reference to anatomical textbooks, atlases and other image sources.
This ELEMENTAL DATA(2jyuumaru) is mapped to the corresponding , or the closest concept chosen from FMA.
Form the side of concept mapping concept to contour is called representation.
Those mapped ELEMENTALS are re-used in generating logical aggregation of contour data for higher order concepts .
For this purpose ontological relations of concepts provided from out-side of the project , at this moment FMA, is used. (build-up contour; build-up concept)
Accordingly, the same concept may be represented by different COMPOUND DATA (paigurafu) depending on the choice of the logic.
For example, big organ have only COMPOUND contour in part-of logic but no is-a contor because it dose dot have categorical subordinates.
Representation have two types; ELEMENTAL/DIRECT representation and COMPOUND/SECONDARYrepresentation.
COMPOUND representation may be complete in some cases such as "left hand+right hand-->hands".
But in most cases, only a subset of subordinate concept have "ELEMENTAL DATA.
In such cases, representation has a feature called representation density.
The ration of represented subordinate concepts and all subordinate concepts in COMPOUND is density shown by red/white Pie.
Build-up Representation of mandibula with FMA:Part-OF logic. IN bp3.0 data, with fma3.0 part-of logic, build-up representation density for FMA7485:Mandibura, is 3/7 .
Data stats & Release Hx
Stats in concept number
In the present version, relations of logic and contour representation s are as follows. 
bp3d_v2.0 FMA concepts ELEMENTAL COMPOUND
is-a tree 80457 843 643
part-of tree 35597 408 326
in both tree 30068 406 0
all unique FMA 80457 845 969
bp3d_v3.0 FMA concepts ELEMENTAL COMPOUND
is-a tree 80457 912 700
part-of tree 35597 436 353
in both tree 30068 433 0
all unique FMA 80457 915 1053
bp3d_v4.0 FMA concepts ELEMENTAL COMPOUND
is-a tree 80457 1651 1254
part-of tree 35597 765 603
in both tree 30068 764 3
all unique FMA 80457 1652 1854
Rosse C, Mejino JL, Modayur BR, Jakobovits R, Hinshaw KP, Brinkley JF. Motivation and organizational principles for anatomical knowledge representation: the Digital Anatomist Symbolic Knowledge Base. J Am Med Inform Assoc. 1998;5:17–40.
Extraction from AMIA Annu Symp Proc. 2003; 2003: 450–454.PMCID: PMC1480337 Representing Complexity in Part-Whole Relationships within the Foundational Model of Anatomy by José L.V. Mejino, Jr, MD, Augusto V. Agoncillo, MD, Kurt L. Rickard, PhD, and Cornelius Rosse, MD, DSc 
Terms in FMA
Constitutional part is a primary partition of an anatomical structure into its compositionally distinct anatomical elements.
In the context of the whole, an element is any relatively simple component of which a larger, more complex anatomical structure is compounded; i.e., the partition is compositional rather than spatial.
Regional part is a primary partition that spatially subdivides an anatomical structure into sets of diverse constitutional parts that share a given location within the whole; i.e., the partition is spatial rather than compositional.
Entities in all subclasses of Anatomical structure have both constitutional and regional parts, as illustrated by the following
Lung -has regional part- Lobe of lung;Lobe of lung -has constitutional part- Visceral pleura, Lung parenchyma etc.;
Part-whole relationships are valid only for entities of the same dimension;
boundary relationships are valid for entities that differ by one in their dimensionality.
Accordingly, the following are valid assertions:
Right ventricle -has part- Wall of right ventricle, Cavity of right ventricle (3D anatomical entities);
Surface of heart -has part- Diaphragmatic surface of heart (2D entities); and
Surface of heart -bounds- Heart (2D and 3D entities, respectively). 
Short introduction and link
TA contains terminology for about 7500 human gross (macroscopic) anatomical structures, while TH contains terminology for cellular structures, tissue and organs at the microscopic level.
Terminologia Anatomica (TA) is the international standard on human anatomic terminology. It was developed by the Federative Committee on Anatomical Terminology (FCAT) and the International Federation of Associations of Anatomists (IFAA) and was released in 1998. It supersedes the previous standard, Nomina Anatomica. Terminologia Anatomica contains terminology for about 7500 human gross (macroscopic) anatomical structures. In April 2011, Terminologia Anatomica was published online by the Federative International Programme on Anatomical Terminologies (FIPAT), the successor of FCAT. 
Concept have FMAID (mostly), and contour data (=3D polygon files = obj files). They are different entities.
A relation of concept/FMA1234 and contour data/FJ3456.obj is called Representation.
Since representation may change time to time, we put representation ID "BP1234" for these paired ID.
Representation have two types; ELEMENTAL/DIRECT representation and COMPOUND/SECONDARY representation.
A contour data file made by artist is referred to as: ELEMENTAL DATAdenoted by red target in icon (image here)
Concept manually mapped with one ELEMENTAL DATAfor its sufficient representation is: ELEMENTAL/DIRECTLY represented concept
Contour file made operationally by joining one or more ELEMENTAL DATA according to the provided tree of concepts are: COMPOUND/SECONDARY represented DATA; COMPOUNDS. denoted by red/white pie (image here)
The ratio of existing part and missing part in COMPOUND is shown by red/white Pie.
About representation, concept,
More infromation sources
発表論文 Nobutaka Mitsuhashi, Kaori Fujieda, Takuro Tamura, Shoko Kawamoto, Toshihisa Takagi, and Kousaku Okubo BodyParts3D: 3D structure database for anatomical concepts Nucleic Acids Research, 2009, Vol. 37, Database issue D782-D785, DOI 10.1093/nar/gkn613.
プレゼン資料 日本分子生物学会 BMB2009| BMB2008| BMB2007
統合データベース講習会(AJACS) 2010年度: AJACSみちのく(2010/8)| AJACS and DDBJing in 東京(2010/6)| AJACS湘南２(2010/6) 2009年度: AJACSりんくう(2009/11)| AJACS近江２(2009/10)| AJACS三河(2009/7) 2008年度: AJACS長津田(2009/1)| AJACS近江| AJACS博多| AJACS本郷１
"Among the assessed manikins, the Human BioDigital and Anatomography were the ones with the best scores overall, 16 points or 80%. In the big picture, the manikins had a mean score of 2.78 points or 55.56% with a standard deviation of 1.56." says Mata, Thiago Henrique, and André Barros Sales. "Definição de critérios para avaliar bonecos anatômicos 3D na web para ensino na área da saúde ou aplicações médicas." Extensio: Revista Eletrônica de Extensão 9.14 (2013): 44-54.
Imaging-genetics in dyslexia: Connecting risk genetic variants to brain neuroimaging and ultimately to reading impairmentsJohn D. Eichera, Jeffrey R. Gruena, b, c, <img alt="Corresponding author contact information" src="">,