Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Abstract: Disclosed is a computer-implemented method for determining an orientation of an electrode using acquired two-dimensional rotational images taken while the two-dimensional imaging apparatus is rotated about the patient, and acquired three dimensional tomographic images of the anatomical structure. The electrode orientation is determined in the three-dimensional reference system of the tomographic imaging apparatus.

Abstract: The present invention relates to a nucleic acid molecule comprising a low repetitive nucleotide sequence encoding a proline/alanine-rich amino acid repeat sequence. The encoded polypeptide comprises a repetitive amino acid sequence that forms a random coil. The nucleic acid molecule comprising said low repetitive nucleotide sequences can further comprise a nucleotide sequence encoding a biologically or pharmacologically active protein. Further, the present invention provides for selection means and methods to identify said nucleic acid molecule comprising said low repetitive nucleotide sequence. The present invention also relates to a method for preparing said nucleic acid molecules. Also provided herein are methods for preparing the encoded polypeptide or drug conjugates with the encoded polypeptide using the herein provided nucleic acid molecules. The drug conjugate may comprise a biologically or pharmacologically active protein or a small molecule drug.

Abstract: Disclosed is a computer-implemented medical data processing method for determining an orientation of an electrode, the electrode being configured for electrically stimulating an anatomical structure of a patient and comprising a rotational orientation marker, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S1.1), at the at least one processor, rotational image data describing two-dimensional medical images of the anatomical structure and the electrode, the two-dimensional medical images having been taken with a two-dimensional medical imaging apparatus during rotation of the medical imaging apparatus relative to the anatomical structure, the rotational image data further describing, for each of the two-dimensional medical images, an imaging perspective relative to the anatomical structure associated with the respective two-dimensional medical image; b) determining (S1.

Abstract: Disclosed is a computer-implemented medical data processing method for determining an orientation of an electrode, the electrode being configured for electrically stimulating an anatomical structure of a patient and comprising a rotational orientation marker, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S1.1), at the at least one processor, rotational image data describing two-dimensional medical images of the anatomical structure and the electrode, the two-dimensional medical images having been taken with a two-dimensional medical imaging apparatus during rotation of the medical imaging apparatus relative to the anatomical structure, the rotational image data further describing, for each of the two-dimensional medical images, an imaging perspective relative to the anatomical structure associated with the respective two-dimensional medical image; b) determining (S1.

Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Abstract: Disclosed is a computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring patient image data describing a medical image of the anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure; c) determining, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient; d) acquiring, electrode position data describing a relative position between a position of an electrode and a position of the anatomical bod

Abstract: The present invention relates to a nucleic acid molecule comprising a low repetitive nucleotide sequence encoding a proline/alanine-rich amino acid repeat sequence. The encoded polypeptide comprises a repetitive amino acid sequence that forms a random coil. The nucleic acid molecule comprising said low repetitive nucleotide sequences can further comprise a nucleotide sequence encoding a biologically or pharmacologically active protein. Further, the present invention provides for selection means and methods to identify said nucleic acid molecule comprising said low repetitive nucleotide sequence. The present invention also relates to a method for preparing said nucleic acid molecules. Also provided herein are methods for preparing the encoded polypeptide or drug conjugates with the encoded polypeptide using the herein provided nucleic acid molecules. The drug conjugate may comprise a biologically or pharmacologically active protein or a small molecule drug.

Abstract: A computer implemented method of matching a medical images of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure is described. The method includes acquiring patient image data; determining, based on the patient image data, patient substructure data; acquiring general substructure data; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data; determining, based on the general substructure data and the substructure matching data, anatomical structure atlas data; determining, based on the patient image data and the anatomical structure atlas data, matching transformation data describing an atlas-patient matching transformation between the medical image representation of the anatomical structure and the atlas representation of the anatomical structure.

Abstract: A computer implemented method of matching a medical images of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure is described.

Abstract: A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient s

Abstract: Disclosed is a computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring patient image data describing a medical image of the anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure; c) determining, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient; d) acquiring, electrode position data describing a relative position between a position of an electrode and a position of the anatomical bod

Abstract: A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient s

Abstract: A method for automatically localizing at least one object or structure in a second data set is provided. A reference data set is provided, and at least one object or structure is outlined or marked in the reference data set, the outline or marking information being a first or reference label data set. A mapping function is determined, using which said reference data set is approximately mapped onto said second data set, and the reference label data set assigned to said reference data set is transformed into a second label data set using said mapping function.

Abstract: A method for automatically localizing at least one object or structure in a second data set is provided. A reference data set is provided, and at least one object or structure is outlined or marked in the reference data set, the outline or marking information being a first or reference label data set. A mapping function is determined, using which said reference data set is approximately mapped onto said second data set, and the reference label data set assigned to said reference data set is transformed into a second label data set using said mapping function.