1. A furnace blower apparatus comprising:
a tubular housing having a length with opposite input and output ends and a hollow interior bore extending through the housing length between the input and output ends;
a panel attached to the housing; and
a fan assembly attached to the panel and positioned in the housing interior bore, the fan assembly including a motor and a fan attached to the motor, and the fan assembly being removable from the housing interior bore by removing the panel from the housing.
2. The apparatus of claim 1, further comprising:
the panel being removably attached to the housing.
3. The apparatus of claim 2, further comprising:
the panel being removably attached to the housing by separate fasteners that are removable from the housing.
4. A furnace blower apparatus comprising:
a tubular housing having a length with opposite input and output ends and a hollow interior bore extending through the housing length between the input and output ends;
a panel attached to the housing;
a fan assembly attached to the panel and positioned in the housing interior bore, and the fan assembly being removable from the housing interior bore by removing the panel from the housing; and
the fan assembly including a motor that is attached to the panel in the housing interior bore and a fan that is mounted on the motor for rotation of the fan in the housing interior bore by the motor.
5. The apparatus of claim 4, further comprising:
the panel attached to the housing having an opening; and,
the fan assembly having at least one wire that extends from the fan assembly in the housing interior bore, through the opening to an exterior environment of the apparatus.
6. The apparatus of claim 4, further comprising:
the housing having a side wall that extends around the housing interior bore;
the side wall having an opening through the side wall to the housing interior bore; and,
the panel attached to the housing covering over the side wall opening.
7. The apparatus of claim 6, further comprising:
the side wall having an input edge surrounding an input opening at the input end of the housing;
the side wall having an output edge surrounding an output opening at the output end of the housing; and,
the side wall opening being spaced between the input edge and the output edge.
8. The apparatus of claim 4, further comprising:
the housing input end being adapted for communication with a heating furnace and the housing output end being adapted for communication with a furnace exhaust.
9. The apparatus of claim 4, further comprising:
the housing having a cylindrical side wall that extends around the housing interior bore; and,
the panel having a curved configuration that overlaps the housing cylindrical side wall.
10. The apparatus of claim 9, further comprising:
the panel having opposite convex and concave surfaces, and the fan assembly being attached to the panel concave surface.
11. The apparatus of claim 4, further comprising:
the housing having an interior surface that opposes the housing interior bore;
the panel having an interior surface that opposes the housing interior bore; and,
the fan assembly being attached solely to the panel interior surface.
12. A furnace blower apparatus comprising:
a tubular housing having a length with opposite input and output ends and a hollow interior bore extending through the housing length between the input and output ends;
a panel attached to the housing;
a fan assembly attached to the panel and positioned in the housing interior bore, and the fan assembly being removable from the housing interior bore by removing the panel from the housing; and
an end wall attached to one of the housing input end and output end, the end wall having an air flow aperture through the end wall.
13. The apparatus of claim 12, further comprising:
the end wall being one of a plurality of end walls that are each attachable to one of the housing input end and output end, and each of the end walls having an air flow aperture that is a different size from the air flow apertures of the other end walls of the plurality of end walls.
14. A method of facilitating repair of a furnace blower, the method comprising:
providing a tubular housing with a length with opposite input and output ends and a hollow interior bore extending through the housing;
attaching a panel to the housing; and,
attaching a fan assembly that includes a motor and a fan to the panel where the motor and fan of the fan assembly are positioned in the housing interior bore when the panel is attached to the housing.
15. A method of facilitating repair of a furnace blower, the method comprising:
providing a tubular housing with a length with opposite input and output ends and a hollow interior bore extending through the housing;
attaching a panel to the housing;
attaching a fan assembly to the panel where the fan assembly is positioned in the housing interior bore when the panel is attached to the housing;
providing the panel attached to the housing with an opening; and,
directing at least one wire of the fan assembly from the housing interior, through the panel opening, and to an exterior environment of the apparatus.
16. A method of facilitating repair of a furnace blower, the method comprising:
providing a tubular housing with a length with opposite input and output ends and a hollow interior bore extending through the housing;
attaching a panel to the housing;
attaching a fan assembly to the panel where the fan assembly is positioned in the housing interior bore when the panel is attached to the housing; and
adapting the housing input end for communication with a heating furnace and adapting the housing output end for communication with a furnace exhaust.
17. The method of claim 16, further comprising:
providing an opening in the housing and inserting the fan assembly through the opening and into the housing interior bore when attaching the panel to the housing.
18. The method of claim 16, further comprising:
removably attaching the panel to the housing by separate, removable fasteners.
19. The method of claim 16, further comprising:
providing the housing with an input edge that extends around an input opening at the input end of the housing;
providing the housing with an output edge that extends around an output opening at the output end of the housing; and,
positioning the opening in the side wall where the side wall opening is spaced from both the input edge and the output edge.
20. A method of facilitating repair of a furnace blower, the method comprising:
providing a tubular housing with a length with opposite input and output ends and a hollow interior bore extending through the housing;
attaching a panel to the housing;
attaching a fan assembly to the panel where the fan assembly is positioned in the housing interior bore when the panel is attached to the housing; and
providing a plurality of end walls that are each attachable to one of the housing input end and output end, and providing each end wall with an air flow aperture that is a different size from the air flow apertures of the other end walls of the plurality of end walls.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method of separating signals from at least two species in a body using echo-coherent time magnetic resonance imaging comprising the steps of:
a) acquiring a plurality of echo signals; and
b) combining the plurality of echo signals iteratively by using a maximum likelihood estimator for non-identically distributed noise decomposition algorithm.
2. The method as recited in claim 1, wherein at least two echo signals of the plurality of echo signals have different variance from each other.
3. The method, as recited in claim 2, wherein a difference in sampling patterns causes the at least two echo signals of the plurality of echo signals to have different variance.
4. The method, as recited in claim 2, wherein signal decay causes the at least two echo signals of the plurality of echo signals to have different variance.
5. The method, as recited in claim 2, wherein correction for signal decay causes the at least two echo signals of the plurality of echo signals to have different variance.
6. The method, as recited in claim 2, wherein chemical species decomposition and parallel imaging results in images with different variance with correlated noise.
7. The method, as recited in claim 2, wherein an optimization of an acquisition based on a weighted-least squares model provides different optimal measurements than an optimization of an acquisition based on a non-weighted least-squares model for images with the same variance.
8. The method, as recited in claim 2, further comprising applying a magnetic resonance image excitation.
9. The method, as recited in claim 2, wherein the plurality of signals is at least three echo signals.
10. The method, as recited in claim 9, wherein a difference in sampling patterns causes the at least two echo signals of the plurality of echo signals to have different variance.
11. The method, as recited in claim 10, wherein chemical species decomposition and parallel imaging results in images with different variance with correlated noise.
12. The method, as recited in claim 2, wherein the maximum likelihood estimator for non-identically distributed noise decomposition algorithm is a weighted least-squares decomposition algorithm, wherein weighting of the weighted least-squares decomposition algorithm is dependent on a difference in variances.
13. The method, as recited in claim 2, wherein the at least three echo signals have acquisition times asymmetrically positioned with respect to an echo time.
14. The method, as recited in claim 2, wherein for the asymmetrically placed echo times there exists at least two of the plurality of echo signals where species phase angles of the echo times have a difference that is not k*\u03c0, where k is an integer.
15. A method of separating signals from at least two species in a body using magnetic resonance imaging comprising the steps of:
a) applying a magnetic resonance image excitation;
b) acquiring a plurality of echo signals, at different echo times, wherein at least two echo signals of the plurality of echo signals have different variance from each other; and
c) combining the plurality of echo signals iteratively by using a weighted least-squares decomposition algorithm, wherein a weighting of the weighted least-squares decomposition algorithm is dependent on a difference in the variances.
16. The method, as recited in claim 15, wherein there exists at least two of the plurality of echo signals where species phase angles of the echo times have a difference that is not k*\u03c0, where k is an integer.
17. The method, as recited in claim 15, wherein the plurality of signals is at least three echo signals.
18. The method, as recited in claim 15, wherein chemical species decomposition and parallel imaging results in images with different variance.
19. An apparatus for separating signals from at least two species in a body using echo-coherent time magnetic resonance imaging for providing magnetic resonance images, comprising:
a magnet system;
a controller electrically connected to the magnet system, comprising:
a display;
at least one processor; and
computer readable media, comprising:
computer readable code for signaling the magnetic system to apply a magnetic resonance imaging excitation;
computer readable code for signaling the magnetic system to acquire a plurality of magnetic resonance image echo signals at different echo times, wherein at least two echo signals of the plurality of echo signals have different variance from each other;
computer readable codes for combining the plurality of echo signals iteratively by using a maximum likelihood estimator for non-identically distributed noise decomposition algorithm, wherein a weighting of the weighted least-squares decomposition algorithm is dependent on a difference in the variances; and
computer readable code for displaying an image created from combining the plurality of echo signals iteratively on the display.
20. The apparatus, as recited in claim 19, wherein the maximum likelihood estimator for non-identically distributed noise decomposition algorithm is a weighted least-squares decomposition algorithm, wherein weighting of the weighted least-squares decomposition algorithm is dependent on a difference in variances.