Registration of medical images has become an important area of research. In particular, registration of computed tomography (CT) lung images is of great interest to radiation oncologists planning radiation treatment for patients with lung cancer. A review of existing image registration methods, as well as preliminary numerical results, indicate that methods based on a constant pixel intensity assumption, such as traditional optical flow methods, cannot be expected to produce accurate registration of lung CT images. Nonlinear methods allowing variations in pixel intensities, though more costly than linear methods, promise to be more accurate for this application
PURPOSE Current 4D-CT protocols use data from an external marker to register the acquired images. Br...
Image registration is an important task in medical image processing. Among its applications are inte...
An oncological patient may go through several tomographic acquisitions during a period of time, need...
Includes bibliographical references (p. 48)Lung cancer is the most rampant killer among cancer types...
Based on the author's lecture notes and research, this well-illustrated and comprehensive text is on...
A common co-pathology of large lung tumors located near the central airways is collapse of portions ...
Registration of medical images is technique, which is developing with new hybrid diagnostic imaging ...
Materials and methods: Two registration methods based on optical flow estimation have been programme...
International audienceMaterials and methods: Two registration methods based on optical flow estimati...
Abstract Modern medicine has been using imaging as a fundamental tool in a wide range of application...
Medical images, including images obtained X-ray computed Tomography (CT), magnetic resonance imaging...
Many approaches to the task of computing medical image registration have been presented, but there i...
Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. ...
Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. ...
This PhD thesis presents a generic approach to more efficient image registration in a classical opti...
PURPOSE Current 4D-CT protocols use data from an external marker to register the acquired images. Br...
Image registration is an important task in medical image processing. Among its applications are inte...
An oncological patient may go through several tomographic acquisitions during a period of time, need...
Includes bibliographical references (p. 48)Lung cancer is the most rampant killer among cancer types...
Based on the author's lecture notes and research, this well-illustrated and comprehensive text is on...
A common co-pathology of large lung tumors located near the central airways is collapse of portions ...
Registration of medical images is technique, which is developing with new hybrid diagnostic imaging ...
Materials and methods: Two registration methods based on optical flow estimation have been programme...
International audienceMaterials and methods: Two registration methods based on optical flow estimati...
Abstract Modern medicine has been using imaging as a fundamental tool in a wide range of application...
Medical images, including images obtained X-ray computed Tomography (CT), magnetic resonance imaging...
Many approaches to the task of computing medical image registration have been presented, but there i...
Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. ...
Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. ...
This PhD thesis presents a generic approach to more efficient image registration in a classical opti...
PURPOSE Current 4D-CT protocols use data from an external marker to register the acquired images. Br...
Image registration is an important task in medical image processing. Among its applications are inte...
An oncological patient may go through several tomographic acquisitions during a period of time, need...