Image-guided position verification in breast radiotherapy is accurately performed with kilovoltage cone beam CT (kV-CBCT). The technique is, however, time-consuming and there is a risk for patient collision. Online position verification performed with orthogonal-angled mixed modality paired imaging is less time-consuming at the expense of inferior accuracy compared to kV-CBCT. We therefore inve...

A multi-modality image fusion can process images of certain organs or issues which were collected from diverse medical imaging equipment. The fusion can extract complementary information and integrate into images with more comprehensive information. The multi-modality image fusion can provide image that was combined with anatomical and physiological information for doctors and bring convenience...

Medical imaging, used for both diagnosis and therapy planning, is evolving towards multi-modality acquisition protocols. The manual segmentation of 3D images is a tedious task and prone to interand inter-experts variability. Moreover, automatic segmentation exploiting the characteristics of multi-modal images is still a difficult problem. In this paper, we propose a variational segmentation met...

the most common soft tissue tumors during infancy and childhood are vascular lesions. although the vast majority of these lesions have typical clinical features and do not require any further exam, but sometimes atypical superficial or deeply located lesions need complementary studies to be diagnosed and classified. in that way it is also very important to exclude very less common malignant sof...

BACKGROUND Cardiac calcified amorphous tumors (CAT) are rarely presented and featured as calcification and eosinophilic amorphous material in dense collagenous fibrous tissue. CASE REPORT Our case report describes a 47-year-old man presenting cardiac CAT with only chronic cough and occasional dizziness. Preoperative multi-modality imaging was used to evaluate it and postoperative histological s...

Neurodegenerative disorders are characterized by changes in multiple biomarkers, which may provide complementary information for diagnosis and prognosis. We present a framework in which proximities derived from random forests are used to learn a low-dimensional manifold from labelled training data and then to infer the clinical labels of test data mapped to this space. The proposed method facil...

We present a tri-modality imaging system and fully integrated tri-modality probe for intravascular imaging. The tri-modality imaging system is able to simultaneously acquire optical coherence tomography (OCT), ultrasound (US), and fluorescence imaging. Moreover, for fluorescence imaging, we used the FDA-approved indocyanine green (ICG) dye as the contrast agent to target lipid-loaded macrophage...