1. A method of quantitative reconstruction of an image of a human breast of predetermined thickness (H) comprising: compressing the breast to decrease in thickness across the breast from a chest wall towards a nipple by a paddle tilted at a paddle tilt angle corresponding to the decrease in thickness along the length, using an x-ray source to obtain a plurality of projection views including a reference projection view of the breast where each projection view is offset from another projection view by an angle theta(θ), wherein from each projection view an image is comprised of pixels representing a level of attenuation of x-rays passed through the breast from the x-ray source, using a tilt angle estimation algorithm to find a tilt angle across the breast and thus the variation in breast thickness due to the paddle from each of the projection views, wherein the tilt angle estimation algorithm comprises using regression to fit a first regression line to the x-ray attenuation corresponding to all of the pixels in the portion of the breast compressed by the paddle and obtaining an ‘all tilt angle’ from a slope of the first regression line, using regression to fit a second regression line to the x-ray attenuation corresponding to pixels in the portion of the breast compressed by the paddle having less than a preselected percentage of fat, and obtaining a ‘fatty tilt angle’ from the slope of the second regression line, and taking the ‘fatty tilt angle’ as the paddle tilt angle when a preselected fraction of the x-ray attenuations corresponding to pixels used to fit the first regression line are not within a preselected distance of the first regression line, and a preselected fraction of the attenuations corresponding to pixels used to fit the second regression line are within a preselected distance of the second regression line, using a reference point in the reference projection view to obtain a reference value P fato for the reference projection view, estimating a reference value (P fatj ) for each of the other projection views I j using a reference value estimation equation, using the estimated reference value (P fatj ) for each projection view to obtain a respective volume of fibroglandular tissue (V j ) for the projection view, and adjusting the estimated reference value (P fatj ) for each projection view to thereby determine the volume of fibroglandular tissue in the human breast to a preselected accuracy.