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Cardiac multimodal image fusion can offer an image with various types of information in a single image. Many coronary stenosis, which are anatomically clear, are not functionally significant. The treatment of such kind of stenosis can cause irreversible effects on the patient. Thus, choosing the best treatment planning depend on anatomical and functional information is very beneficial. An algorithm for the fusion of coronary computed tomography angiography (CCTA) as an anatomical and transthoracic echocardiography (TTE) as a functional modality is presented. CCTA and TTE are temporally registered using manifold learning. A pattern search optimization algorithm, using normalized mutual information, is used to find the best match slice to TTE frame from CCTA volume. By employing a free-form deformation, the heart's non-rigid deformations are modeled. The spatiotemporal registered TTE frame is embedded to achieve the fusion result. The accuracy is evaluated on CCTA and TTE data obtained from 10 patients. In temporal registration, mean absolute error of 1.97 $$\, \pm \, $$ 1.23 is resulted from comparing the output frame numbers from the algorithm and from manual assignment by an expert. In spatial registration, the accuracy of the similarity between the best match slice from CCTA volume and TTE frame is resulted in 1.82 $$\, \pm \, $$ 0.024 mm, 6.74 $$\, \pm \, $$ 0.013 mm, and 0.901 $$\, \pm \, $$ 0.0548 due to mean absolute distance, Hausdorff distance, and Dice similarity coefficient, respectively. Without the use of ECG and Optical tracking systems, a semiautomatic framework of spatiotemporal registration and fusion of CCTA volume and TTE frame is presented. The experimental results showed the effectiveness of our proposed method to create complementary information from TTE and CCTA, which may help in the early diagnosis and effective treatment of cardiovascular diseases (CVDs).

To retrospectively assess the correlation between pulmonary arterial obstruction index (PAOI) and right lateral ventricular wall thickness with in-hospital mortality in patients with acute pulmonary embolism. CT angiography (CTA) of 55 consecutive patients (30 males; 25 females; mean age ± SD, 59 ± 11 years) with proven acute pulmonary embolism was investigated. PAOI was determined according to the Qanadli score on CTA. Right ventricular lateral wall thickness was also measured, and patients’ in-hospital mortality was recorded. The correlation between PAOI and mortality, right ventricular lateral wall thickness and mortality, and PAOI and right ventricular lateral wall thickness was evaluated. PAOI was 23.6 and 10.4 in patients with and without in-hospital mortality, respectively (P

Hydatid disease (HD) may occur almost anywhere in the body. Despite their characteristic radiologic manifestations at times, they may enlarge and produce bizarre imaging features which make diagnosis challenging, particularly for those radiologists working in areas of low incidence. Plain radiography, ultrasonography, computed tomography, and magnetic resonance imaging may demonstrate some of the typical imaging manifestations of HD as well as its exact extension. On the other hand, particular caution is required before any kind of interventions to be done in that biopsy or aspiration of such lesions may cause devastating consequences, in particular anaphylactic shock. Hence, being familiar with various radiologic features of HD is essential in improving diagnostic accuracy and also preventing adverse reactions in these patients. The purpose of this pictorial review is to illustrate the different radiological features of HD in various organs.