Comparing nonrigid registration techniques for motion corrected MR prostate diffusion imaging. Issue 1 (16th December 2014)

• Record Type: Journal Article
• Authors: Buerger, C.; Sénégas, J.; Kabus, S.; Carolus, H.; Schulz, H.; Agarwal, H.; Turkbey, B.; Choyke, P. L.; Renisch, S.
• Is Part Of: Medical physics. Volume 42:Issue 1(2015)
• Page Start: 69
• Page End: 80
• Publication Date: 2014-12-16
• Subjects: biomedical MRI -- image fusion -- image motion analysis -- image registration -- medical image processing -- physiology; Magnetic resonance imaging -- Registration; Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging -- 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 -- Analysis of motion; non‐rigid image registration -- diffusion imaging -- prostate; Image registration -- Diffusion -- Cancer -- Medical image reconstruction -- Image transforms -- Medical image contrast -- Medical magnetic resonance imaging -- Data visualization; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4903262
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: T 2 ‐weighted magnetic resonance imaging (MRI) is commonly used for anatomical visualization in the pelvis area, such as the prostate, with high soft‐tissue contrast. MRI can also provide functional information such as diffusion‐weighted imaging (DWI) which depicts the molecular diffusion processes in biological tissues. The combination of anatomical and functional imaging techniques is widely used in oncology, e.g., for prostate cancer diagnosis and staging. However, acquisition‐specific distortions as well as physiological motion lead to misalignments between T 2 and DWI and consequently to a reduced diagnostic value. Image registration algorithms are commonly employed to correct for such misalignment. Methods: The authors compare the performance of five state‐of‐the‐art nonrigid image registration techniques for accurate image fusion of DWI with T 2 . Results: Image data of 20 prostate patients with cancerous lesions or cysts were acquired. All registration algorithms were validated using intensity‐based as well as landmark‐based techniques. Conclusions: The authors' results show that the "fast elastic image registration" provides most accurate results with a target registration error of 1.07 ± 0.41 mm at minimum execution times of 11 ± 1 s.