Using combined x-ray and MR imaging for prostate I-125 post-implant dosimetry: phantom validation and preliminary patient work
| Autor: | R P Gaston, JM Blackall, Sanjeet Hegde, Charles Deehan, Marc Miquel, Kawal Rhode, Rick Popert, N D MacDougall, Ronald Beaney, Peter Acher, Stephen F. Keevil, S L Morris |
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| Rok vydání: | 2006 |
| Předmět: |
Male
medicine.medical_treatment Brachytherapy Stereoscopy Imaging phantom law.invention Iodine Radioisotopes Prostate law Image Interpretation Computer-Assisted medicine Dosimetry Humans Radiology Nuclear Medicine and imaging Aged Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Phantoms Imaging Distortion (optics) Radiotherapy Planning Computer-Assisted Prostatic Neoplasms Magnetic resonance imaging Magnetic Resonance Imaging Visualization Radiography medicine.anatomical_structure business Nuclear medicine |
| Zdroj: | Physics in medicine and biology. 51(5) |
| ISSN: | 0031-9155 |
| Popis: | Post-implantation dosimetry is an important element of permanent prostate brachytherapy. This process relies on accurate localization of implanted seeds relative to the surrounding organs. Localization is commonly achieved using CT images, which provide suboptimal prostate delineation. On MR images, conversely, prostate visualization is excellent but seed localization is imprecise due to distortion and susceptibility artefacts. This paper presents a method based on fused MR and x-ray images acquired consecutively in a combined x-ray and MRI interventional suite. The method does not rely on any explicit registration step but on a combination of system calibration and tracking. A purpose-built phantom was imaged using MRI and x-rays, and the images were successfully registered. The same protocol was applied to three patients where combining soft tissue information from MRI with stereoscopic seed identification from x-ray imaging facilitated post-implant dosimetry. This technique has the potential to improve on dosimetry using either CT or MR alone. |
| Databáze: | OpenAIRE |
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