Method of radiography of an organ of a patient, comprising: - making a first two dimensional raw image of said organ by cooperation of a first radiation source (1, 201) and a first detector (3, 203), - making a second two dimensional raw image of said organ by cooperation of a second radiation source (2, 202) and a second detector (4, 204), - said first and second raw images viewing said organ of said patient according to different angles of incidence, wherein a computed correction is processed on both said first and second raw images, on at least part of patient scanned height, for at least overweight or obese patients, so as to reduce, between first and second corrected images, cross-scattering existing between said first and second raw images, and wherein said computed correction processing on both said first and second raw images comprises: > a step of making as patient specific modeling, a 3D avatar, using both: o as patient specific data therefore, at least both first and second raw images, preferably mainly both first and second raw images, more preferably only both first and second raw images, o and as generic data therefore, a 3D generic model, > a step (122, 123) of determining a patient specific representation of radiation scattering by simulating cross-scattering on said 3D avatar, > a step of processing said patient specific radiation scattering representation on both said first and second raw images so as to get said first and second corrected images. - making a first two dimensional raw image of said organ by cooperation of a first radiation source (1, 201) and a first detector (3, 203), - making a second two dimensional raw image of said organ by cooperation of a second radiation source (2, 202) and a second detector (4, 204), - said first and second raw images viewing said organ of said patient according to different angles of incidence, wherein a computed correction is processed on both said first and second raw images, on at least part of patient scanned height, for at least overweight or obese patients, so as to reduce, between first and second corrected images, cross-scattering existing between said first and second raw images, and wherein said computed correction processing on both said first and second raw images comprises: > a step of making as patient specific modeling, a 3D avatar, using both: o as patient specific data therefore, at least both first and second raw images, preferably mainly both first and second raw images, more preferably only both first and second raw images, o and as generic data therefore, a 3D generic model, > a step (122, 123) of determining a patient specific representation of radiation scattering by simulating cross-scattering on said 3D avatar, > a step of processing said patient specific radiation scattering representation on both said first and second raw images so as to get said first and second corrected images. > a step of making as patient specific modeling, a 3D avatar, using both: o as patient specific data therefore, at least both first and second raw images, preferably mainly both first and second raw images, more preferably only both first and second raw images, o and as generic data therefore, a 3D generic model, o as patient specific data therefore, at least both first and second raw images, preferably mainly both first and second raw images, more preferably only both first and second raw images, o and as generic data therefore, a 3D generic model, > a step (122, 123) of determining a patient specific representation of radiation scattering by simulating cross-scattering on said 3D avatar, > a step of processing said patient specific radiation scattering representation on both said first and second raw images so as to get said first and second corrected images.