ConeBeamGeometry.det_refpoint¶
-
ConeBeamGeometry.
det_refpoint
(self, angle)[source]¶ Return the detector reference point position at
angle
.For an angle
phi
, the detector position is given bydet_ref(phi) = translation + rot_matrix(phi) * (det_rad * src_to_det_init) + (offset_along_axis + pitch * phi) * axis + detector_shift(phi)
where
src_to_det_init
is the initial unit vector pointing from source to detector and- detector_shift(phi) = rot_matrix(phi) *
(shift1 * src_to_det_init + shift2 * cross(-src_to_det_init, axis)) shift3 * axis
- Parameters
- anglefloat or
array-like
Angle(s) in radians describing the counter-clockwise rotation of the detector.
- anglefloat or
- Returns
- refpt
numpy.ndarray
Vector(s) pointing from the origin to the detector reference point. If
angle
is a single parameter, the returned array has shape(3,)
, otherwiseangle.shape + (3,)
.
- refpt
See also
Examples
With default arguments, the detector starts at
det_rad * e_y
and rotates todet_rad * (-e_x) + pitch/4 * e_z
at 90 degrees:>>> apart = odl.uniform_partition(0, 4 * np.pi, 10) >>> dpart = odl.uniform_partition([-1, -1], [1, 1], (20, 20)) >>> geom = ConeBeamGeometry( ... apart, dpart, src_radius=5, det_radius=10, pitch=2) >>> geom.det_refpoint(0) array([ 0., 10., 0.]) >>> np.allclose(geom.det_refpoint(np.pi / 2), [-10, 0, 0.5]) True
The method is vectorized, i.e., it can be called with multiple angles at once (or an n-dimensional array of angles):
>>> points = geom.det_refpoint([0, np.pi / 2]) >>> np.allclose(points[0], [0, 10, 0]) True >>> np.allclose(points[1], [-10, 0, 0.5]) True >>> geom.det_refpoint(np.zeros((4, 5))).shape (4, 5, 3)
Specifying detector offset:
>>> apart = odl.uniform_partition(0, 2 * np.pi, 4) >>> geom = ConeBeamGeometry( ... apart, dpart, ... src_radius=1, det_radius=1, ... det_shift_func=lambda angle:[0, 0.1, -0.1], ... src_to_det_init=(0.71, -0.71, 0)) >>> geom.angles array([ 0.78539816, 2.35619449, 3.92699082, 5.49778714]) >>> np.round(geom.det_refpoint(geom.angles), 2) array([[ 1. , 0.1, -0.1], [-0.1, 1. , -0.1], [-1. , -0.1, -0.1], [ 0.1, -1. , -0.1]])