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Orthogonal view is basically seeing something in 2 dimensions that is actually 3 dimensions. The projection lines in these views are orthogonal to the projection plane which causes it to be 2 dimensions.
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What is an orthogonal view?
Orthogonal view is basically seeing something in 2 dimensions that is actually 3 dimensions. The projection lines in these views are orthogonal to the projection plane which causes it to be 2 dimensions.
What are orthogonal views in radiology?
Orthogonal views in radiology refer to imaging perspectives that are perpendicular to each other, typically used to provide a comprehensive assessment of a structure or area of interest. For example, in musculoskeletal imaging, a standard set might include anteroposterior (AP) and lateral views to visualize bones or joints from different angles. This approach helps in accurately diagnosing conditions by allowing for better visualization of spatial relationships and potential abnormalities. Orthogonal views are essential for ensuring that important details are not missed in diagnostic imaging.
What is the definition of orthogonal signal space?
Orthogonal signal space is defined as the set of orthogonal functions, which are complete. In orthogonal vector space any vector can be represented by orthogonal vectors provided they are complete.Thus, in similar manner any signal can be represented by a set of orthogonal functions which are complete.
Can the difference of 2 vectors be orthogonal?
The answer will depend on orthogonal to WHAT!
What is the orthogonal planning in ancient Greece?
it is planning of orthogonal planning
When was Orthogonal - novel - created?
Orthogonal - novel - was created in 2011.
What is orthogonal planning in ancient Greece?
it is planning of orthogonal planning
Self orthogonal trajectories?
a family of curves whose family of orthogonal trajectories is the same as the given family, is called self orthogonal trajectories.
How do you use Orthogonal in a sentence?
Orthogonal is a term referring to something containing right angles. An example sentence would be: That big rectangle is orthogonal.
What has the author Richard Askey written?
Richard Askey has written: 'Three notes on orthogonal polynomials' -- subject(s): Orthogonal polynomials 'Recurrence relations, continued fractions, and orthogonal polynomials' -- subject(s): Continued fractions, Distribution (Probability theory), Orthogonal polynomials 'Orthogonal polynomials and special functions' -- subject(s): Orthogonal polynomials, Special Functions
What is self orthogonal?
Self orthogonal trajectories are a family of curves whose family of orthogonal trajectories is the same as the given family. This is a term that is not very widely used.
Prove that the product of two orthogonal matrices is orthogonal and so is the inverse of an orthogonal matrix What does this mean in terms of rotations?
To prove that the product of two orthogonal matrices ( A ) and ( B ) is orthogonal, we can show that ( (AB)^T(AB) = B^TA^TA = B^T I B = I ), which confirms that ( AB ) is orthogonal. Similarly, the inverse of an orthogonal matrix ( A ) is ( A^{-1} = A^T ), and thus ( (A^{-1})^T A^{-1} = AA^T = I ), proving that ( A^{-1} ) is also orthogonal. In terms of rotations, this means that the combination of two rotations (represented by orthogonal matrices) results in another rotation, and that rotating back (inverting) maintains orthogonality, preserving the geometric properties of rotations in space.
