Computer implemented method for assessing a haemodynamic parameter for a vascular region of interest of a patient based on angiographic images , with the steps of - acquiring multiple angiographic images of the region of interest with the angiographic images showing at least a first portion (9, 11, 13, 15, 17; 28) of the region of interest from at least two different angles to allow for a 3D representation of the first portion (9, 11, 13, 15, 17; 28), - generating the 3D representation of at least the first portion (9, 11, 13, 15, 17; 28) of the region of interest from the angiographic images , - extracting 3D geometric features of the first portion (9, 11, 13, 15, 17; 28) from the 3D representation, characterised by the additional steps of - extracting at least one additional 2D geometric feature for at least a second portion (18, 19, 20; 26) of the region of interest from the angiographic images , wherein the angiographic images contain insufficient data about the second portion (18, 19, 20; 26) to allow for a complete 3D representation of the second portion (18, 19, 20; 26), - generating a complete set of 3D geometric features for the region of interest by - combining the extracted 3D geometric features and the at least one additional 2D geometric feature, wherein extracted geometric features comprise the extracted 3D geometric features and/or the at least one additional 2D geometric feature, - estimating any missing 3D geometric features of the at least one second portion of the region of interest from the extracted geometric features by making assumptions or extrapolations or interpolations and/or continuations based on a predefined ruleset, wherein a geometric feature extracted from the 3D representation at a boundary between the first portion (9, 11, 13, 15, 17; 28) and the second portion (18, 19, 20; 26) is used as a constraint for estimating at least one missing 3D geometric feature for the second portion (18, 19, 20; 26), and - assessing the haemodynamic parameter based on the generated complete set of 3D geometric features. - acquiring multiple angiographic images of the region of interest with the angiographic images showing at least a first portion (9, 11, 13, 15, 17; 28) of the region of interest from at least two different angles to allow for a 3D representation of the first portion (9, 11, 13, 15, 17; 28), - generating the 3D representation of at least the first portion (9, 11, 13, 15, 17; 28) of the region of interest from the angiographic images , - extracting 3D geometric features of the first portion (9, 11, 13, 15, 17; 28) from the 3D representation, characterised by the additional steps of - extracting at least one additional 2D geometric feature for at least a second portion (18, 19, 20; 26) of the region of interest from the angiographic images , wherein the angiographic images contain insufficient data about the second portion (18, 19, 20; 26) to allow for a complete 3D representation of the second portion (18, 19, 20; 26), - generating a complete set of 3D geometric features for the region of interest by - combining the extracted 3D geometric features and the at least one additional 2D geometric feature, wherein extracted geometric features comprise the extracted 3D geometric features and/or the at least one additional 2D geometric feature, - estimating any missing 3D geometric features of the at least one second portion of the region of interest from the extracted geometric features by making assumptions or extrapolations or interpolations and/or continuations based on a predefined ruleset, wherein a geometric feature extracted from the 3D representation at a boundary between the first portion (9, 11, 13, 15, 17; 28) and the second portion (18, 19, 20; 26) is used as a constraint for estimating at least one missing 3D geometric feature for the second portion (18, 19, 20; 26), and - assessing the haemodynamic parameter based on the generated complete set of 3D geometric features. <EOS>