Computed Radiography ImageCIOD
CT ImageCIOD
MR ImageCIOD
Nuclear Medicine ImageCIOD
Ultrasound ImageCIOD
Ultrasound Multi-frame ImageCIOD
Secondary Capture ImageCIOD
Multi-frame Single Bit Secondary Capture ImageCIOD
Multi-frame Grayscale Byte Secondary Capture ImageCIOD
Multi-frame Grayscale Word Secondary Capture ImageCIOD
Multi-frame True Color Secondary Capture ImageCIOD
X-Ray Angiographic ImageCIOD
X-Ray Radiofluoroscopic ImageCIOD
RT ImageCIOD
RT DoseCIOD
RT Structure SetCIOD
PatientMModule - Patient
Clinical Trial SubjectUModule - Patient
General StudyMModule - Study
Patient StudyUModule - Study
Clinical Trial StudyUModule - Study
RT SeriesMModule - Series
Clinical Trial SeriesUModule - Series
General EquipmentMModule - Equipment
Frame of ReferenceUModule - Frame of Reference
Structure SetMModule - Structure Set
ROI ContourMModule - Structure Set
(3006,0039) ROI Contour Sequence1Sequence
(0062,000C) Recommended Display Grayscale Value3Unsigned Short
(0062,000D) Recommended Display CIELab Value3Unsigned Short
(3006,002A) ROI Display Color3Integer String
(3006,0040) Contour Sequence3Sequence
(3006,0016) Contour Image Sequence3Sequence
(3006,0042) Contour Geometric Type1Code String
(3006,0046) Number of Contour Points1Integer String
(3006,0048) Contour Number3Integer String
(3006,0050) Contour Data1Decimal String
(3006,004A) Source Pixel Planes Characteristics Sequence3Sequence
(3006,004B) Source Series Sequence3Sequence
(3006,0084) Referenced ROI Number1Integer String
RT ROI ObservationsMModule - Structure Set
ApprovalUModule - Structure Set
General ReferenceUModule - Structure Set
SOP CommonMModule - Structure Set
Common Instance ReferenceUModule - Structure Set
RT PlanCIOD
Positron Emission Tomography ImageCIOD
Digital X-Ray ImageCIOD
Digital Mammography X-Ray ImageCIOD
Digital Intra-Oral X-Ray ImageCIOD
RT Beams Treatment RecordCIOD
RT Brachy Treatment RecordCIOD
RT Treatment Summary RecordCIOD
VL Endoscopic ImageCIOD
VL Microscopic ImageCIOD
VL Slide-Coordinates Microscopic ImageCIOD
VL Photographic ImageCIOD
Video Endoscopic ImageCIOD
Video Microscopic ImageCIOD
Video Photographic ImageCIOD
VL Whole Slide Microscopy ImageCIOD
Real-Time Video Endoscopic ImageCIOD
Real-Time Video Photographic ImageCIOD
Dermoscopic Photography ImageCIOD
Grayscale Softcopy Presentation StateCIOD
Color Softcopy Presentation StateCIOD
Pseudo-Color Softcopy Presentation StateCIOD
Blending Softcopy Presentation StateCIOD
Basic Structured DisplayCIOD
XA/XRF Grayscale Softcopy Presentation StateCIOD
Advanced Blending Presentation StateCIOD
Variable Modality LUT Softcopy Presentation StateCIOD
Basic Voice Audio WaveformCIOD
12-Lead ECGCIOD
General ECGCIOD
Ambulatory ECGCIOD
Hemodynamic WaveformCIOD
Basic Cardiac Electrophysiology WaveformCIOD
Arterial Pulse WaveformCIOD
Respiratory WaveformCIOD
General Audio WaveformCIOD
Real-Time Audio WaveformCIOD
Routine Scalp ElectroencephalogramCIOD
ElectromyogramCIOD
ElectrooculogramCIOD
Sleep ElectroencephalogramCIOD
Multi-channel Respiratory WaveformCIOD
Body Position WaveformCIOD
General 32-bit ECGCIOD
Basic Text SRCIOD
Enhanced SRCIOD
Comprehensive SRCIOD
Key Object Selection DocumentCIOD
Mammography CAD SRCIOD
Chest CAD SRCIOD
Procedure LogCIOD
X-Ray Radiation Dose SRCIOD
Spectacle Prescription ReportCIOD
Colon CAD SRCIOD
Macular Grid Thickness and Volume ReportCIOD
Implantation Plan SR DocumentCIOD
Comprehensive 3D SRCIOD
Radiopharmaceutical Radiation Dose SRCIOD
Extensible SRCIOD
Acquisition Context SRCIOD
Simplified Adult Echo SRCIOD
Patient Radiation Dose SRCIOD
Planned Imaging Agent Administration SRCIOD
Performed Imaging Agent Administration SRCIOD
Rendition Selection DocumentCIOD
Enhanced X-Ray Radiation Dose SRCIOD
Enhanced MR ImageCIOD
MR SpectroscopyCIOD
Enhanced MR Color ImageCIOD
Raw DataCIOD
Enhanced CT ImageCIOD
Spatial RegistrationCIOD
Deformable Spatial RegistrationCIOD
Spatial FiducialsCIOD
Ophthalmic Photography 8 Bit ImageCIOD
Ophthalmic Photography 16 Bit ImageCIOD
Stereometric RelationshipCIOD
Hanging ProtocolCIOD
Encapsulated PDFCIOD
Encapsulated CDACIOD
Real World Value MappingCIOD
Enhanced XA ImageCIOD
Enhanced XRF ImageCIOD
RT Ion PlanCIOD
RT Ion Beams Treatment RecordCIOD
SegmentationCIOD
Ophthalmic Tomography ImageCIOD
X-Ray 3D Angiographic ImageCIOD
X-Ray 3D Craniofacial ImageCIOD
Breast Tomosynthesis ImageCIOD
Enhanced PET ImageCIOD
Surface SegmentationCIOD
Color PaletteCIOD
Enhanced US VolumeCIOD
Lensometry MeasurementsCIOD
Autorefraction MeasurementsCIOD
Keratometry MeasurementsCIOD
Subjective Refraction MeasurementsCIOD
Visual Acuity MeasurementsCIOD
Ophthalmic Axial MeasurementsCIOD
Intraocular Lens CalculationsCIOD
Generic Implant TemplateCIOD
Implant Assembly TemplateCIOD
Implant Template GroupCIOD
RT Beams Delivery InstructionCIOD
Ophthalmic Visual Field Static Perimetry MeasurementsCIOD
Intravascular Optical Coherence Tomography ImageCIOD
Ophthalmic Thickness MapCIOD
Surface Scan MeshCIOD
Surface Scan Point CloudCIOD
Legacy Converted Enhanced CT ImageCIOD
Legacy Converted Enhanced MR ImageCIOD
Legacy Converted Enhanced PET ImageCIOD
Corneal Topography MapCIOD
Breast Projection X-Ray ImageCIOD
Parametric MapCIOD
Wide Field Ophthalmic Photography Stereographic Projection ImageCIOD
Wide Field Ophthalmic Photography 3D Coordinates ImageCIOD
Tractography ResultsCIOD
RT Brachy Application Setup Delivery InstructionCIOD
Planar MPR Volumetric Presentation StateCIOD
Volume Rendering Volumetric Presentation StateCIOD
Content Assessment ResultsCIOD
CT Performed Procedure ProtocolCIOD
CT Defined Procedure ProtocolCIOD
Protocol ApprovalCIOD
XA Performed Procedure ProtocolCIOD
XA Defined Procedure ProtocolCIOD
Ophthalmic Optical Coherence Tomography En Face ImageCIOD
Ophthalmic Optical Coherence Tomography B-scan Volume AnalysisCIOD
Encapsulated STLCIOD
Encapsulated OBJCIOD
Encapsulated MTLCIOD
RT Physician IntentCIOD
RT Segment AnnotationCIOD
RT Radiation SetCIOD
C-Arm Photon-Electron RadiationCIOD
Tomotherapeutic RadiationCIOD
Robotic-Arm RadiationCIOD
RT Radiation Record SetCIOD
RT Radiation Salvage RecordCIOD
C-Arm Photon-Electron Radiation RecordCIOD
Tomotherapeutic Radiation RecordCIOD
Robotic-Arm Radiation RecordCIOD
RT Radiation Set Delivery InstructionCIOD
RT Treatment PreparationCIOD
Enhanced RT ImageCIOD
Enhanced Continuous RT ImageCIOD
RT Patient Position Acquisition InstructionCIOD
Microscopy Bulk Simple AnnotationsCIOD
InventoryCIOD
Photoacoustic ImageCIOD
Confocal Microscopy ImageCIOD
Confocal Microscopy Tiled Pyramidal ImageCIOD
Basic DirectoryCIOD

Built with by Innolitics, a team of medical imaging software developers.

Data synced with official DICOM standard on 18 April 2024. The DICOM Standard is under continuous maintenance, and the current official version is available at http://www.dicomstandard.org/current/. DICOM Parts 3, 4, and 6, © NEMA. Please note that the most recent PDF version of the standard is the official reference, and should checked when making technical decisions.

Contour Data Attribute

Tag(3006,0050)
TypeRequired (1)
KeywordContourData
Value Multiplicity3-3n
Value RepresentationDecimal String (DS)

Sequence of (x,y,z) triplets defining a contour in the Patient-Based Coordinate System described in Section C.7.6.2.1.1 (mm). See Section C.8.8.6.1 and Section C.8.8.6.3.

See Section C.8.8.6.4.

Note

Contour Data may not be properly encoded if Explicit VR Transfer Syntax is used and the VL of this Attribute exceeds 65534 bytes.

Section C.7.6.2.1.1

C.7.6.2.1.1 Image Position and Image Orientation

Image Position (Patient) (0020,0032) specifies the x, y, and z coordinates of the upper left hand corner of the image; it is the center of the first voxel transmitted. Image Orientation (Patient) (0020,0037) specifies the direction cosines of the first row and the first column with respect to the patient. These Attributes shall be provide as a pair. Row value for the x, y, and z axes respectively followed by the Column value for the x, y, and z axes respectively.

The direction of the axes is defined fully by the patient's orientation.

If Anatomical Orientation Type (0010,2210) is absent or has a value of BIPED, the x-axis is increasing to the left hand side of the patient. The y-axis is increasing to the posterior side of the patient. The z-axis is increasing toward the head of the patient.

If Anatomical Orientation Type (0010,2210) has a value of QUADRUPED, the

  • x-axis is increasing to the left (as opposed to right) side of the patient

  • the y-axis is increasing towards

    • the dorsal (as opposed to ventral) side of the patient for the neck, trunk and tail,

    • the dorsal (as opposed to ventral) side of the patient for the head,

    • the dorsal (as opposed to plantar or palmar) side of the distal limbs,

    • the cranial (as opposed caudal) side of the proximal limbs, and

  • the z-axis is increasing towards

    • the cranial (as opposed to caudal) end of the patient for the neck, trunk and tail,

    • the rostral (as opposed to caudal) end of the patient for the head, and

    • the proximal (as opposed to distal) end of the limbs

Note

  1. The axes for quadrupeds are those defined and illustrated in Smallwood et al for proper anatomic directional terms as they apply to various parts of the body.

  2. It should be anticipated that when quadrupeds are imaged on human equipment, and particularly when they are position in a manner different from the traditional human prone and supine head or feet first longitudinal position, then the equipment may well not indicate the correct orientation, though it will remain an orthogonal Cartesian right-handed system that could be corrected subsequently.

The Patient-Based Coordinate System is a right handed system, i.e., the vector cross product of a unit vector along the positive x-axis and a unit vector along the positive y-axis is equal to a unit vector along the positive z-axis.

Note

If a patient is positioned parallel to the ground, in dorsal recumbency (i.e., for humans, face-up on the table), with the caudo-cranial (i.e., for humans, feet-to-head) direction the same as the front-to-back direction of the imaging equipment, the direction of the axes of this Patient-Based Coordinate System and the Equipment-Based Coordinate System in previous versions of this Standard will coincide.

The Image Plane Attributes, in conjunction with the Pixel Spacing Attribute, describe the position and orientation of the image slices relative to the Patient-Based Coordinate System. In each image frame Image Position (Patient) (0020,0032) specifies the origin of the image with respect to the Patient-Based Coordinate System. RCS and Image Orientation (Patient) (0020,0037) values specify the orientation of the image frame rows and columns. The mapping of an integer (entire) pixel location (i,j) to the RCS is calculated as follows:

Equation C.7.6.2.1-1. 


Where:

  • Pxyz The coordinates of the voxel (i,j) in the frame's image plane in units of mm.

  • Sxyz The three values of Image Position (Patient) (0020,0032). It is the location in mm from the origin of the RCS.

  • Xxyz The values from the row (X) direction cosine of Image Orientation (Patient) (0020,0037).

  • Yxyz The values from the column (Y) direction cosine of Image Orientation (Patient) (0020,0037).

  • i Column integer index to the image plane. The first (entire) column is index zero.

  • Δi Column pixel resolution of Pixel Spacing (0028,0030) in units of mm.

  • j Row integer index to the image plane. The first (entire) row index is zero.

  • Δj Row pixel resolution of Pixel Spacing (0028,0030) in units of mm.

Note

The integer entire row and column indices (i,j) that are the input to this equation start from zero, which is a common mathematical convention. Many DICOM Attributes define such indices as starting from one, e.g., those affected by Bounding Box Annotation Units (0070,0003) for PIXEL and MATRIX in Section C.10.5 Graphic Annotation Module. This needs to be accounted for when applying this equation literally.

The mapping of a sub-pixel resolution image or total pixel matrix relative location (c,r), such as used in Spatial Coordinates Macro, to the RCS is calculated as follows

Equation C.7.6.2.1-2. 


Where:

  • Pxyz The coordinates of the voxel (c,r) in the frame's image plane in units of mm.

  • Sxyz The three values of Image Position (Patient) (0020,0032). It is the location in mm from the origin of the RCS.

  • Xxyz The values from the row (X) direction cosine of Image Orientation (Patient) (0020,0037).

  • Yxyz The values from the column (Y) direction cosine of Image Orientation (Patient) (0020,0037).

  • c Column sub-pixel resolution index to the image plane. The left pixel edge of the first column of the frame or total pixel matrix is index zero.

  • Δc Column pixel resolution of Pixel Spacing (0028,0030) in units of mm.

  • r Row sub-pixel resolution index to the image plane. The top pixel edge of the first row of the frame or total pixel matrix index is zero.

  • Δr Row pixel resolution of Pixel Spacing (0028,0030) in units of mm.

Additional constraints apply:

  1. The row and column direction cosine vectors shall be orthogonal, i.e., their dot product shall be zero.

  2. The row and column direction cosine vectors shall be normal, i.e., the dot product of each direction cosine vector with itself shall be unity.

Section C.8.8.6.1

C.8.8.6.1 Contour Geometric Type

A contour can be one of the following geometric types:

  • A Contour Geometric Type (3006,0042) of POINT indicates that the contour is a single point, defining a specific location of significance.

  • A Contour Geometric Type (3006,0042) of OPEN_PLANAR indicates that the last vertex shall not be connected to the first point, and that all points in Contour Data (3006,0050) shall be coplanar.

  • A Contour Geometric Type (3006,0042) of OPEN_NONPLANAR indicates that the last vertex shall not be connected to the first point, and that the points in Contour Data (3006,0050) may be non-coplanar. Contours having a Geometric Type (3006,0042) of OPEN_NONPLANAR can be used to represent objects best described by a single, possibly non-coplanar curve, such as a brachytherapy applicator.

  • A Contour Geometric Type (3006,0042) of CLOSED_PLANAR indicates that the last point shall be connected to the first point, where the first point is not repeated in Contour Data (3006,0050). All points in Contour Data (3006,0050) shall be coplanar.

  • A Contour Geometric Type (3006,0042) of CLOSEDPLANAR_XOR indicates that the last point shall be connected to the first point, where the first is not repeated in Contour Data (3006,0050). All points in Contour Data (3006,0050) shall be coplanar. More than one Contour is used to describe an ROI and these Contours are combined by geometric exclusive disjunction, see Section C.8.8.6.3. If any of the Contours within an ROI is of Contour Geometric Type (3006,0042) CLOSEDPLANAR_XOR, all Contours of that ROI shall be of the same type.

Section C.8.8.6.3

C.8.8.6.3 Representing Inner and Outer Contours

Inner and Outer Contours can be represented by two different techniques:

Using the "keyhole" technique, an ROI with an excluded inner part is represented with a single planar Contour. In this method, an arbitrarily narrow channel is used to connect the outer contour to the inner contour, so that it is drawn as a single contour. An example of such a structure is shown in Figure C.8.8.6-1 with the channel at roughly the 12 o'clock position.

Points in space lying along the path defined by the contour are considered to be part of the ROI.

Figure C.8.8.6-1. Example of ROI with excluded inner volume


Using the "XOR" technique, an ROI with an excluded inner part is represented by two planar Contours that are combined by a geometric exclusive disjunction, thus extracting the inner from the outer Contour, see Figure C.8.8.6-2. The contours have the Contour Geometric Type (3006,0042) CLOSEDPLANAR_XOR.

Figure C.8.8.6-2. Example of ROI with contours exclusively added


Using this technique, it is also possible to create an ROI that includes disjoint parts of the ROI within an interior void. When two or more Contours are present, two Contours are combined using a geometric exclusive disjunction ("XOR"). Then this result is combined by an XOR operation with a third Contour, and so on for all other Contours of this ROI. The order of combination does not matter. An example of the result of an XOR operation of three Contours is visualized in Figure C.8.8.6-3.

Figure C.8.8.6-3. Example of ROI with disjoint parts


Section C.8.8.6.4

C.8.8.6.4 Source Pixel Planes Characteristics

The Source Pixel Planes Characteristics Sequence (3006,004A) defines a stack of Source Pixel Planes on the originating system from which the Contour data of an ROI was derived. This stack of Source Pixel Planes does not need to correspond to actual Image Storage SOP Instances.

If a receiving system also utilizes a pixel-based representation of Contours, the information in this Sequence may be utilized to define the same pixel grid as the originating system to reduce the magnitude of errors caused by different sampling rates.

If Source Pixel Planes Characteristics Sequence (3006,004A) is present for an ROI in the ROI Contour Sequence (3006,0039) the following apply:

  • Contours are specified on Source Pixel Planes defined by the characteristics in the Source Pixel Planes Characteristics Sequence (3006,004A).

  • A Source Pixel Plane is not required to coincide with or be parallel to an actual image plane (i.e., Contour Image Sequence (3006,0016) is not required to be present, and if it is present, the referenced images need to not correspond to the characteristics of Source Pixel Planes).

  • The x, y, z triplets of Contour Data (3006,0050) shall be defined on the Source Pixel Planes defined by Source Pixel Planes Characteristics Sequence (3006,004A).

  • Contour Data (3006,0050) may have a different (e.g., higher) sampling than the Pixel Spacing (0028,0030).

  • Source Pixel Planes for all Contours of the ROI will be parallel (since only one Image Orientation (Patient) is specified).

  • Source Pixel Planes will be equidistantly spaced (since only one Spacing Between Slices is specified).

  • Contours of an ROI shall be specified on every Source Pixel Plane where the ROI is present.

  • If no Contour Data is specified for a given Source Pixel Plane of an ROI, the ROI is defined to be absent on that Source Pixel Plane (i.e., a Source Pixel Plane without corresponding Contour Data defines a "gap").