In modern clinical practice, the clinician can make use of a vast array of specialized imaging techniques supporting diagnosis and treatment. For various reasons, the same anatomy of one patient is sometimes imaged more than once, either using the same imaging apparatus (monomodal acquisition ), or different ones (multimodal acquisition). To make simultaneous use of the acquired images, it is often necessary to bring these images in registration, i.e., to align their anatomical coordinate systems. The problem of medical image registration as concerns human brain images is addressed in this thesis. The specific chapters include a survey of recent literature, CT/MR registration using mathematical image features (edges and ridg...
The purpose of a registration process is to find a geometric transformation, that relates correspond...
This study applies image registration techniques to combine functional and structural information de...
Medical image registration automatically brings two images into maximal spatial and anatomical corre...
In modern clinical practice, the clinician can make use of a vast array of specialized imaging techn...
© Springer Science+Business Media New York 2015. Different imaging modalities, such as CT, MRI and P...
The registration, or alignment, of multiple medical scans can provide a plethora of new information ...
The registration, or alignment, of multiple medical scans can provide a plethora of new information ...
Image registration is a fundamental problem that can be found in a diverse range of fields within th...
For the retrospective, rigid body registration of two 3D datasets from different modalities (MR, CT ...
Image registration is a fundamental problem that can be found in a diverse range of fields within th...
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Registration of medical imaging is essential for aligning in time and space different modalities and...
Background: Imaging modalities in medicine gives complementary information. Inadequacy in clinical i...
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Registration of medical imaging is essential for aligning in time and space different modalities and...
The purpose of a registration process is to find a geometric transformation, that relates correspond...
This study applies image registration techniques to combine functional and structural information de...
Medical image registration automatically brings two images into maximal spatial and anatomical corre...
In modern clinical practice, the clinician can make use of a vast array of specialized imaging techn...
© Springer Science+Business Media New York 2015. Different imaging modalities, such as CT, MRI and P...
The registration, or alignment, of multiple medical scans can provide a plethora of new information ...
The registration, or alignment, of multiple medical scans can provide a plethora of new information ...
Image registration is a fundamental problem that can be found in a diverse range of fields within th...
For the retrospective, rigid body registration of two 3D datasets from different modalities (MR, CT ...
Image registration is a fundamental problem that can be found in a diverse range of fields within th...
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Registration of medical imaging is essential for aligning in time and space different modalities and...
Background: Imaging modalities in medicine gives complementary information. Inadequacy in clinical i...
This dissertation presents work on deformable registration of medical images. Deformable registratio...
Registration of medical imaging is essential for aligning in time and space different modalities and...
The purpose of a registration process is to find a geometric transformation, that relates correspond...
This study applies image registration techniques to combine functional and structural information de...
Medical image registration automatically brings two images into maximal spatial and anatomical corre...