Joint intensity‐and‐point based registration of free‐hand B‐mode ultrasound and MRI of the carotid artery. Issue 5 (21st April 2014)

• Record Type: Journal Article
• Authors: Carvalho, Diego D. B.; Klein, Stefan; Akkus, Zeynettin; van Dijk, Anouk C.; Tang, Hui; Selwaness, Mariana; Schinkel, Arend F. L.; Bosch, Johan G.; van der Lugt, Aad; Niessen, Wiro J.
• Is Part Of: Medical physics. Volume 41:Issue 5(2014)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2014-04-21
• Subjects: Magnetic resonance imaging -- Registration -- Segmentation -- Diseases -- Ultrasonographic imaging; biomedical MRI -- biomedical ultrasonics -- blood vessels -- diseases -- image registration -- image segmentation -- medical image processing -- modal analysis; carotid artery -- atherosclerosis -- magnetic resonance imaging -- ultrasound -- image registration; Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging -- Diagnosis using ultrasonic, sonic or infrasonic waves -- Biological material, e.g. blood, urine; Haemocytometers -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general; Ultrasonography -- Medical imaging -- Magnetic resonance imaging -- Vascular system -- Digital subtraction angiography -- Bifurcations -- Liver -- Inductively coupled plasma -- Image registration -- Three dimensional image processing; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4870383
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: : To introduce a semiautomatic algorithm to perform the registration of free‐hand B‐Mode ultrasound (US) and magnetic resonance imaging (MRI) of the carotid artery. Methods: : The authors' approach combines geometrical features and intensity information. The only user interaction consists of placing three seed points in US and MRI. First, the lumen centerlines are used as landmarks for point based registration. Subsequently, in a joint optimization the distance between centerlines and the dissimilarity of the image intensities is minimized. Evaluation is performed in left and right carotids from six healthy volunteers and five patients with atherosclerosis. For the validation, the authors measure the Dice similarity coefficient (DSC) and the mean surface distance (MSD) between carotid lumen segmentations in US and MRI after registration. The effect of several design parameters on the registration accuracy is investigated by an exhaustive search on a training set of five volunteers and three patients. The optimum configuration is validated on the remaining images of one volunteer and two patients. Results: : On the training set, the authors achieve an average DSC of 0.74 and a MSD of 0.66 mm on volunteer data. For the patient data, the authors obtain a DSC of 0.77 and a MSD of 0.69 mm. In the independent set composed of patient and volunteer data, the DSC is 0.69 and the MSD is 0.87 mm. The experiments with different design parameters show that nonrigid registration outperforms rigid registration, and that the combination of intensity and point information is superior to approaches that use intensity or points only. Conclusions: : The proposed method achieves an accurate registration of US and MRI, and may thus enable multimodal analysis of the carotid plaque.