Title :
8A-4 Spatial Co-Registration of Magnetic Resonance and Ultrasound Images of the Prostate as a Basis for Multi-Modality Tissue-Type Imaging
Author :
Dasgupta, S. ; Feleppa, E. ; Ramachandran, S. ; Ketterling, J. ; Kalisz, A. ; Haker, S. ; Tempany, C. ; Porter, C. ; Lacrampe, M. ; Isacson, C. ; Sparks, D.
Author_Institution :
Riverside Res. Inst., New York
Abstract :
We aim to integrate the chemical properties sensed by magnetic-resonance spectroscopy (MRS) with the micro-architectural mechanical properties sensed by ultrasound spectra to enhance our classifier sensitivity and specificity for distinguishing between cancerous and noncancerous regions in the prostate. Successfully combining ultrasound spectral parameters with MRS parameters, requires spatially co-registering 3-D volumes generated from ultrasound (US) and magnetic resonance data. We assessed two methods of co-registration. In the first method, volumes were warped in 3-D to compensate for distortions introduced during imaging. In the second method, a 3-D algorithm developed by Brigham and Women´s Hospital volumetrically matched MR and US images using a soft-tissue deformation model. We expect new multi-modality US-MRS tissue-type images to further advance our ability to visualize prostate cancer reliably and consequently improve prostate cancer biopsy guidance, treatment planning and treatment monitoring.
Keywords :
biochemistry; biological organs; biomechanics; biomedical MRI; biomedical ultrasonics; cancer; image classification; image matching; image registration; magnetic resonance spectroscopy; medical image processing; tumours; 3-D volume generation; US-MRS tissue-type images; biochemical properties; cancerous regions; classifier sensitivity; distortion compensation; magnetic resonance images; microarchitectural mechanical properties; multimodality tissue-type imaging; noncancerous region; prostate cancer biopsy guidance; prostate visualization; soft-tissue deformation model; spatial co-registraton; treatment monitoring; treatment planning; ultrasound images; ultrasound spectral parameters; volumetrical matching; Chemicals; Hospitals; Magnetic properties; Magnetic resonance; Magnetic resonance imaging; Mechanical factors; Prostate cancer; Sensitivity and specificity; Spectroscopy; Ultrasonic imaging;
Conference_Titel :
Ultrasonics Symposium, 2007. IEEE
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-1384-3
Electronic_ISBN :
1051-0117
DOI :
10.1109/ULTSYM.2007.166