Image processing in swallowing and speech research

An image processing system for application to studies of the temporal and spatial parameters of movement during swallowing and speech is described. Image sequences from videotape are digitized for computerized manipulation and analysis in an attempt to improve on conventional visual inspection. The system is “interactive” or “event-driven”: after executing a function, the computer waits for guidance from the user who controls the program through keyboard and mouse input, selecting options from menus and responding to prompts. The analyst alters image clarity by the application of filters and heightens contrast through video enhancement. A technique called “remapping” reduces head motion and provides uniform spatial scaling. Animated sequences of images are used, as opposed to frame-by-frame analysis, to preserve temporal context and increase efficiency of measurement. Low cost off-the-shelf personal computer hardware is used along with original software tailored to the application.     

Multistep phase difference phase contrast imaging

A new technique for multistep phase-contrast image processing is presented. The N-step method consists of simply forming the linear average of the N — 1 adjacent phase-difference signals. It has similar noise reduction properties as other multistep techniques, but the simplicity of the noise variance of the N-step technique allows intuitive insight into phase-difference phase-contrast processing and noise reduction, which can aid in the design of efficient and improved phase-contrast imaging sequences. As well, the computational simplicity of the N-step phase-difference technique compared with any other known multistep technique is advantageous. Like other multistep techniques, it has far more efficient noise reduction properties than simple two-step, multiple average phase-contrast imaging, even when normalized for total scan time. A three-step phase-difference velocity image has 50% less variance than an image acquired with two steps and two scans averaged but is obtained in 25% less scan time. Given its advantages, it should now be the chosen technique for increasing velocity-to-noise and contrast-to-noise ratios in all phase-difference phase-contrast clinical applications.     

Phase-derivative analysis in MR angiography: Reduced Venc dependency and improved vessel wall detection in laminar and disturbed flow

A problem of current MRA techniques is the inability to accurately depict the vascular anatomy, particularly in areas of disturbed flow. Various reasons, such as intravoxel phase dispersion, saturation, temporal variations, and maximum intensity projection (MIP) nonlinearity, cause a wrong delineation of vessel boundaries. A phase contrast (PC)-based postprocessing operation, the phase derivative (PhD), is introduced to detect phase fluctuations indicating flow. Two-dimensional and three-dimensional angiographic reconstruction algorithms are presented. Mathematical formulas are derived to predict the effect of sampling to flow profiles and the effect on the PhD of these profiles. Numerical, phantom, and preliminary in vivo experiments demonstrate that PhD images do not suffer from phase wraps and allow a velocity dynamic range extension only limited by a differential phase change. It is also shown that PhD MIPs produce higher signal-to-noise ratios than conventional PC angiograms and give a better impression of the anatomy of (stenotic) vessels and of their diameters for both laminar and disturbed flow.     

In vivo comparison of two through-plane MR velocity mapping methods: Fast fourier encoding and phase mapping

Magnetic resonance imaging maps of velocity were acquired with a 1.5-T system in 10 subjects in a plane perpendicular to the main pulmonary artery. Velocity images were successively acquired with a method developed from Fourier-encoding velocity imaging (FEVI) principles with eight gradient steps and one excitation, and with two-point phase-subtraction mapping. Reconstruction in FEVI was implemented by zero-filling interpolation around the eight gradient steps and then around the four central steps. The methods were compared by using estimates of noise in velocity measurements based on the difference between the experimental map and a smooth fitted map. For the same acquisition time, FEVI with four encoding steps was more precise in velocity measurements than phase mapping. Precision was further increased by the use of eight encoding steps, but acquisition time was doubled.     

腹部CTA检查的质量保证

目的:探讨螺旋CT血管造影(Spiral CT angiography,SCTA)技术,以期提高SCTA造影的质量。材料与方法:采用Somatom Plus 4螺旋CT扫描系统对10例病人行腹部SCTA检查。扫描技术和造影剂参数按病变范围和性质而定,三维重建采用最大强度投影法(MIP)或表面阴影显示法(SSD)或弯曲平面重建法(CPR)。结果:SCTA检查技术能可靠地显示血管形态和病变,评价腹部肿瘤与邻近血管关系。结论:SCTA是无创伤性的血管成像术,在很大范围可替代创伤性的血管造影。     

Multiresolution,model-based segmentation of MR angiograms

During the last decade, the quality of MR angiograms has risen substantially and their clinical utility has been demonstrated progressively. This acceptance has created a need for tools with which to summarize and display the information available. We have used a model-based segmentation technique to extract vascular morphology and local flow parameters from phase contrast MR angiograms. A multiresolution data structure is used as the basis of recursive decision-making to identify regions of blood flow. The resulting data representation allows more efficient data handling in subsequent processing and visualization and is directly applicable to the creation of a connected graph model of vascular regions. We describe this flow feature extraction algorithm and demonstrate the utility of the results.     

计算机自动定量诊断脑萎缩的初步研究

目的研究正常人群脑容积随年龄及性别的变化规律,提出计算机定量诊断脑萎缩的客观标准。方法利用最新提出的脑容积计算机自动定量算法,测量了脑萎缩组487例(男,310例,女,177例)和正常组1901例(男,993例,女,908例)的颅腔容积、脑容积和脑实质分数(BPF),并通过多项式曲线拟合技术,研究正常人BPF随年龄变化的函数关系。结果正常组颅腔容积为(1271322±128699)mm3,脑容积为(1211725±122077)mm3,BPF为(95.3471±2.3453)%;脑萎缩组颅腔容积为(1276900±125180)mm3,脑容积为(1203400±117760)mm3,BPF为(91.8115±2.3035)%。两组之间的颅腔容积和脑容积差异无统计学意义(P>0.05),而BPF差异具有统计学意义(P<0.001);BPF定量与年龄之间的二次多项式函数关系P(x)=-0.0008x2+0.0193x+96.9999能够较为准确表达正常人BPF随年龄变化的函数关系,其95%可信区间下限为y=-0.0008x2+0.0184x+95.1090。结论BPF与年龄之间函数关系的95%可信区间下限,可作为计算机自动定量诊断脑萎缩的客观标准。     

计算机辅助带锁髓内钉固定胫骨骨折全程规划手术系统的实验研究

目的评价计算机辅助带锁髓内钉固定胫骨骨折全程手术规划系统的有效性及临床可行性。方法在分析系统结构和操作流程的基础上,利用塑料胫骨模型(9根)和尸体胫骨(12具下肢肢体)进行基于C型臂透视图像的术中骨折肢体图像拼接、骨折闭合复位及髓内钉置入仿真测量实验；利用胫骨模型及尸体胫骨进行图像拼接精度分析,以验证图像拼接与规划模块的正确性。利用尸体胫骨进行计算机辅助骨折闭合复位试验,分析骨折复位机构模块的操作可行性。结果图像拼接模块只需术中采集7～10张有效的C型臂图像即可拼接出下肢长骨的全景图像,为采集图像所需的术中透视时间为(19．75±0．61)s；计算机进行X线透视图像采集和拼接总时间为(4．17±0．86)min；塑料模型拼接精度达(1．26±0．76)mm。结论该系统实现了基于C型臂拼接图像的计算机辅助胫骨骨折髓内钉内固定全程手术规划,术中可完成骨折复位图像分析、手术规划、虚拟仿真,髓内钉型号选择以及骨折复位等关键操作,为计算机辅助骨科手术系统治疗长骨骨折搭建了精确、安全、稳定的软硬件技术平台。     

Quantitative DNA measurement by flow cytometry and image analysis of human nonseminomatous germ cell testicular tumors

Current clinical staging, which includes the use of serum tumor markers and imaging techniques, fails to identify the 30–40% of clinical stage I (CS I) nonseminomatous germ cell testicular tumor (NSGCT) patients who have occult metastatic disease. Therefore, there is a real clinical need to evaluate new biological parameters of the primary tumor that might be useful as predictors of occult metastatic disease. This study was undertaken to compare quantitative DNA measurements by flow cytometry and image analysis in CS I NSGCT, and to analyze the relevance of these parameters for predicting occult lymph node involvement. Different blocks of formalin-fixed, paraffin-embedded NSGCTs of 62 CS I patients who underwent retroperitoneal lymph node dissection between 1985 and 1989 were prepared according to the Hedley technique, and analyzed by quantitative cytometry. Thirty-six (58.1%) patients had histologically proven lymph node involvement (pathological stage II), whereas 26 (41.9%) patients (pathological stage I) had neither lymph node metastases according to retroperitoneal lymph node dissection (RPLND) specimens nor tumor recurrence during follow-up. Concordant results were found in 76.5% of the samples by both cytometric techniques. For flow cytometry, the percentages of aneuploid cells in the S- and the G2M+S-phase were the most robust predictive parameters for lymph node involvement, whereas for image analysis the 5c exceeding rate (5cER) had the most predictive significance. Based on the experience obtained in this study, both cytometric techniques provide additional information on tumor aggressiveness that might be useful in therapeutic selection of early stage NSGCT patients for either RPLND or surveillance only.