Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric.
Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric.
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DOI：
10.1117/12.2007610
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发表时间：
2013-03-08
期刊：
影响因子：
--
通讯作者：
Madabhushi A
中科院分区：
文献类型：
--
作者：
Sparks R;Bloch BN;Feleppa E;Barratt D;Madabhushi A
在这项工作中，我们提出了一种新的自动配准方法来融合前列腺的磁共振成像(MRI)和经直肠超声(TRUS)图像。我们的方法包括：(1)在MRI上勾画前列腺，(2)在TRUS上建立前列腺位置的概率模型，(3)将MRI前列腺分割与TRUS概率模型对齐。经直肠超声引导下的活检是目前诊断前列腺癌(CAP)的金标准。高达40%的CAP病变在TRUS上呈等回声，因此TRUS引导下的活检不能可靠地定位CAP病变，且与高假阴性率相关。MRI能更好地区分前列腺帽和良性前列腺组织，但需要特殊的设备和训练。MRI-TRUS融合，即术前获取MRI并在活检过程中与TRUS对齐，允许使用这两种方式的信息来帮助指导活检。结合使用MRI和TRUS来指导活检，至少可以使阳性活检的产量增加一倍。之前在MRI-TRUS融合方面的工作包括对齐人工确定的基准或前列腺表面以实现图像配准。这些方法的准确性取决于读者以最小的误差确定基准或前列腺表面的能力，这是一项困难和耗时的任务。我们新颖的、全自动的MRI-TRUS融合方法是对当前最先进技术的重大进步，因为它在获得TRUS后不需要人工干预。所有必要的前处理步骤(即在MRI上勾画前列腺)可以在活组织检查程序之前离线执行。我们在7个患者的研究中评估了我们的方法，使用了B型TRUS和1.5T表面线圈MRI。我们的方法对于专业选择的基准点(包括尿路、钙化和帽状结节的质心)的均方根误差(RMSE)为3.39±0.85 mm。
In this work, we present a novel, automated, registration method to fuse magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) images of the prostate. Our methodology consists of: (1) delineating the prostate on MRI, (2) building a probabilistic model of prostate location on TRUS, and (3) aligning the MRI prostate segmentation to the TRUS probabilistic model. TRUS-guided needle biopsy is the current gold standard for prostate cancer (CaP) diagnosis. Up to 40% of CaP lesions appear isoechoic on TRUS, hence TRUS-guided biopsy cannot reliably target CaP lesions and is associated with a high false negative rate. MRI is better able to distinguish CaP from benign prostatic tissue, but requires special equipment and training. MRI-TRUS fusion, whereby MRI is acquired pre-operatively and aligned to TRUS during the biopsy procedure, allows for information from both modalities to be used to help guide the biopsy. The use of MRI and TRUS in combination to guide biopsy at least doubles the yield of positive biopsies. Previous work on MRI-TRUS fusion has involved aligning manually determined fiducials or prostate surfaces to achieve image registration. The accuracy of these methods is dependent on the reader’s ability to determine fiducials or prostate surfaces with minimal error, which is a difficult and time-consuming task. Our novel, fully automated MRI-TRUS fusion method represents a significant advance over the current state-of-the-art because it does not require manual intervention after TRUS acquisition. All necessary preprocessing steps (i.e. delineation of the prostate on MRI) can be performed offline prior to the biopsy procedure. We evaluated our method on seven patient studies, with B-mode TRUS and a 1.5 T surface coil MRI. Our method has a root mean square error (RMSE) for expertly selected fiducials (consisting of the urethra, calcifications, and the centroids of CaP nodules) of 3.39 ± 0.85 mm.
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DOI：
10.1016/j.urolonc.2011.02.014
发表时间：
2011-05
期刊：
Urologic oncology
影响因子：
--
作者：
Natarajan S;Marks LS;Margolis DJ;Huang J;Macairan ML;Lieu P;Fenster A
通讯作者：
Fenster A
影响因子：
5.1
作者：
JACQ, JJ;ROUX, C
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ROUX, C
影响因子：
6.6
作者：
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Marberger, M
影响因子：
10.9
作者：
Mitra, Jhimli;Kato, Zoltan;Meriaudeau, Fabrice
通讯作者：
Meriaudeau, Fabrice
DOI：
10.1002/jmri.1880070318
发表时间：
1997-05-01
期刊：
JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING
影响因子：
--
作者：
Parker, GJM;Suckling, J;Leach, MO
通讯作者：
Leach, MO