1 /*=========================================================================
4 Module: $RCSfile: gdcmOrientation.cxx,v $
6 Date: $Date: 2005/07/25 03:44:35 $
7 Version: $Revision: 1.3 $
9 Copyright (c) CREATIS (Centre de Recherche et d'Applications en Traitement de
10 l'Image). All rights reserved. See Doc/License.txt or
11 http://www.creatis.insa-lyon.fr/Public/Gdcm/License.html for details.
13 This software is distributed WITHOUT ANY WARRANTY; without even
14 the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
15 PURPOSE. See the above copyright notices for more information.
17 =========================================================================*/
19 #include "gdcmOrientation.h"
21 #include "gdcmDebug.h"
22 #include <math.h> // for sqrt
26 //--------------------------------------------------------------------
27 // THERALYS Algorithm to determine the most similar basic orientation
29 // Transliterated from original Python code.
30 // Kept as close as possible to the original code
31 // in order to speed up any further modif of Python code :-(
32 //-----------------------------------------------------------------------
35 * \brief THERALYS' Algorithm to determine the most similar basic orientation
36 * (Axial, Coronal, Sagital) of the image
37 * \note Should be run on the first gdcm::File of a 'coherent' Serie
38 * @return orientation code
39 * # 0 : Not Applicable (neither 0020,0037 Image Orientation Patient
40 * # nor 0020,0032Image Position found )
44 * # -2 : Coronal invert
46 * # -3 : Sagital invert
48 * # -4 : Heart Axial invert
50 * # -5 : Heart Coronal invert
52 * # -6 : Heart Sagital invert
54 double Orientation::TypeOrientation( File *f )
57 bool succ = f->GetImageOrientationPatient( iop );
60 gdcmErrorMacro( "No Image Orientation (0020,0037) was found in the file, cannot proceed." )
67 ori1.x = iop[0]; ori1.y = iop[1]; ori1.z = iop[2];
68 ori1.x = iop[3]; ori2.y = iop[4]; ori2.z = iop[5];
70 // two perpendicular vectors describe one plane
71 double dicPlane[6][2][3] =
72 { { {1, 0, 0 },{0, 1, 0 } }, // Axial
73 { {1, 0, 0 },{0, 0, -1 } }, // Coronal
74 { {0, 1, 0 },{0, 0, -1 } }, // Sagittal
75 { { 0.8, 0.5, 0.0 },{-0.1, 0.1 , -0.95 } }, // Axial - HEART
76 { { 0.8, 0.5, 0.0 },{-0.6674, 0.687, 0.1794} }, // Coronal - HEART
77 { {-0.1, 0.1, -0.95},{-0.6674, 0.687, 0.1794} } // Sagittal - HEART
83 Res res; // [ <result> , <memory of the last succes calcule> ]
86 for (int numDicPlane=0; numDicPlane<6; numDicPlane++)
90 refA.x = dicPlane[numDicPlane][0][0];
91 refA.y = dicPlane[numDicPlane][0][1];
92 refA.z = dicPlane[numDicPlane][0][2];
94 refB.x = dicPlane[numDicPlane][1][0];
95 refB.y = dicPlane[numDicPlane][1][1];
96 refB.z = dicPlane[numDicPlane][1][2];
97 res=VerfCriterion( i, CalculLikelyhood2Vec(refA,refB,ori1,ori2), res );
98 res=VerfCriterion( -i, CalculLikelyhood2Vec(refB,refA,ori1,ori2), res );
103 // res=[0,99999] ## [ <result> , <memory of the last succes calculus> ]
104 // for plane in dicPlane:
108 // res=self.VerfCriterion( i , self.CalculLikelyhood2Vec(refA,refB,ori1,ori2) , res )
109 // res=self.VerfCriterion( -i , self.CalculLikelyhood2Vec(refB,refA,ori1,ori2) , res )
116 Orientation::VerfCriterion(int typeCriterion, double criterionNew, Res const & in)
119 double criterion = in.second;
120 if (criterionNew < criterion)
122 res.first = criterionNew;
123 res.second = typeCriterion;
127 // criterion = res[1]
128 // # if criterionNew<0.1 and criterionNew<criterion:
129 // if criterionNew<criterion:
130 // criterion=criterionNew
131 // type=typeCriterion
132 // return [ type , criterion ]
137 inline double square_dist(vector3D const &v1, vector3D const & v2)
140 res = (v1.x - v2.x)*(v1.x - v2.x) +
141 (v1.y - v2.y)*(v1.y - v2.y) +
142 (v1.z - v2.z)*(v1.z - v2.z);
146 //------------------------- Purpose : -----------------------------------
147 //- This function determines the orientation similarity of two planes.
148 // Each plane is described by two vectors.
149 //------------------------- Parameters : --------------------------------
150 //- <refA> : - type : vector 3D (double)
151 //- <refB> : - type : vector 3D (double)
152 // - Description of the first plane
153 //- <ori1> : - type : vector 3D (double)
154 //- <ori2> : - type : vector 3D (double)
155 // - Description of the second plane
156 //------------------------- Return : ------------------------------------
157 // double : 0 if the planes are perpendicular. While the difference of
158 // the orientation between the planes are big more enlarge is
160 //------------------------- Other : -------------------------------------
161 // The calculus is based with vectors normalice
163 Orientation::CalculLikelyhood2Vec(vector3D const & refA, vector3D const & refB,
164 vector3D const & ori1, vector3D const & ori2 )
167 vector3D ori3 = ProductVectorial(ori1,ori2);
168 vector3D refC = ProductVectorial(refA,refB);
169 double res = square_dist(refC, ori3);
174 //------------------------- Purpose : -----------------------------------
175 //- Calculus of the poduct vectorial between two vectors 3D
176 //------------------------- Parameters : --------------------------------
177 //- <vec1> : - type : vector 3D (double)
178 //- <vec2> : - type : vector 3D (double)
179 //------------------------- Return : ------------------------------------
180 // (vec) : - Vector 3D
181 //------------------------- Other : -------------------------------------
183 Orientation::ProductVectorial(vector3D const & vec1, vector3D const & vec2)
186 vec3.x = vec1.y*vec2.z - vec1.z*vec2.y;
187 vec3.y = -( vec1.x*vec2.z - vec1.z*vec2.x);
188 vec3.z = vec1.x*vec2.y - vec1.y*vec2.x;
193 } // end namespace gdcm