title: TRUS-MRI image registration: a paradigm shift in the diagnosis of significant prostate cancer.
abstract: Accuracy of multiparametric MRI has greatly improved the ability of localizing tumor foci of prostate cancer. This property can be used to perform a TRUS-MR image registration, new technological advance, which allows for an overlay of an MRI onto a TRUS image to target a prostate biopsy toward a suspicious area Three types of registration have been developed: cognitive-based, sensor-based, and organ-based registration. Cognitive registration consists of aiming a suspicious area during biopsy with the knowledge of the lesion location identified on multiparametric MRI. Sensor-based registration consists of tracking in real time the TRUS probe with a magnetic device, achieving a global positioning system which overlays in real-time prostate image on both modalities. Its main limitation is that it does not take into account prostate and patient motion during biopsy. Two systems (Artemis and Uronav) have been developed to partially circumvent this drawback. Organ-based registration (Koelis) does not aim to track the TRUS probe, but the prostate itself to compute in a 3D acquisition the TRUS prostate shape, allowing for a registration with the corresponding 3D MRI shape. This system is not limited by prostate/patient motion and allows for a deformation of the organ during registration. Pros and cons of each technique and the rationale for a targeted biopsy only policy are discussed.
authors.affiliation: Department of Radiology, Hôpital Cochin, Paris, France, frcornud@imagerie-tourville.com.
authors.forename: F
authors.initials: F
authors.lastname: Cornud
authors.forename: L
authors.initials: L
authors.lastname: Brolis
authors.forename: N Barry
authors.initials: NB
authors.lastname: Delongchamps
authors.forename: D
authors.initials: D
authors.lastname: Portalez
authors.forename: B
authors.initials: B
authors.lastname: Malavaud
authors.forename: R
authors.initials: R
authors.lastname: Renard-Penna
authors.forename: P
authors.initials: P
authors.lastname: Mozer
mesh_terms: D001707:Biopsy, Needle; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D064847:Multimodal Imaging; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods; D014463:Ultrasonography / Q000379:methods*