生理影像信息技术及其临床应用

生理影像是功能性医学影像的一个重要分支,也是临床医学工程的一个极其重要的研究和应用领域。多年来,作者及其研究生与临床医务人员相结合,在电生理影像和热生理影像的信息获取和数字化处理技术方面进行了大量及深入的研究,提出了一种体内热估计(ITE)新技术。本文重点介绍热生理影像信息在妇女乳腺癌诊断中的应用。通过对约五千例妇女乳腺病筛选的结果,表明了生理影像信息处理及ITE技术在临床医学上的应用价值。     

99Tcm-MIBI显像评价乳腺癌新辅助化疗疗效

目的 探讨^99Tc^m-甲氧基异丁基异腈（MIBI）显像评价乳腺癌新辅助化疗（NCT）疗效的价值。方法 35例局部进展期乳腺癌（LABC）患者术前化疗前后分别触诊估测肿瘤最大垂直长径及行^99Tc^m-MIBI显像，术后对乳腺癌标本行病理检查及P-糖蛋白（P-gP）、增殖细胞核抗原（PCNA）免疫组织化学染色。观察注射^99Tc^m-MIBI后60min显像图。采用目测法和半定量法，以病灶／本底（T／N）放射性比值降低〉35％为有效。临床疗效按WHO标准评价。化疗后肿瘤细胞病理形态学改变以Ⅱ、Ⅲ级定为显效，Ⅰ级定为弱效。结果 病理检查显效与弱效组间，显像目测法分析NCT有效率分别为75％和9％，差异有显著性（P〈0．01），灵敏度、特异性和准确性分别为75％、91％和80％；半定量法评价NCT疗效的灵敏度、特异性和准确性分别为84％、80％和83％；临床测量肿瘤最大垂直长径则分别为50％、64％和54％。^99Tc^m-MIBI显像评价疗效的灵敏度、准确性明显高于临床确诊。24例病理检查示显效的患者中，^99Tc^m-MIBI摄取与PCNA水平相关，与P-gP水平无关。结论 ^99Tc^m-MIBI显像可有效监测LABC患者术前NCT疗效。     

99Tcm-DMSA肾皮质显像诊断小儿肾发育不良

目的 探讨^99Tc^m—二巯基丁二酸(DMSA)肾皮质显像诊断小儿肾发育不良的价值。方法 疑为肾发育不良患儿29例，行常规^99Tc^m—DMSA肾皮质显像和腹部B超检查。图像分析：将发育不良肾分为0～4级。结果 ^99Tc^m—DMSA肾皮质显像示29例患儿中24例为单侧肾发育不良，其中11例1级，7例2级，6例3级，余5例患肾未显影为0级，结合其他：检查诊断为肾发育不良。患肾分肾功能为0～24．9％(平均6．3％)。29例患儿中24例患肾肾皮质显像诊断为肾发育不良，5例患肾未显影，由其他影像学方法确诊，诊断灵敏度为82．76％。29例中19例经手术治疗，病理检查证实为肾发育不良。结论 ^99Tc^m—DMSA肾皮质显像诊断肾发育不良灵敏度高、可靠，可确定发育不良肾部位和判断肾功能。     

An imaging routine for assessing the efficacy of instruments used for scaling and root planning

Deposits of dental plaque or calculus are typically quantified using planimetric techniques. However, error is introduced into a quantitative analysis of plaque deposits using these methods, since they require a significant amount of human intervention. The purpose of this study is to describe and validate a computerized imaging routine which has the potential to objectively identify material on dental roots and measure the area covered by these deposits. Dentiform teeth with simulated plaque were videorecorded. A computer routine was developed based on a flood-fill algorithm which analyzed images of the dentiform teeth and determined the amount of simulated plaque on their root surfaces. Results showed that the dentiform teeth and their simulated plaque patterns are duplicated by the imaging routine in a rapid and reliable fashion. The system shows a high degree of accuracy with an average error factor of only 0.58%. As well, the system enables precise reproducibility with an average error factor of only 0.71%.     

He-Ne激光沿经络自动照射治疗仪的研制

介绍He-Ne激光沿经络自动照射治疗仪，它能使激光光束按人们所需要的强度，路径，方式沿经络进行自动照射。     

骨显像在儿童常见恶性实体瘤骨转移中的应用

目的 探讨骨显像在诊断儿童常见恶性实体瘤骨转移中的价值。方法 202例恶性实体瘤（淋巴瘤91例、神经母细胞瘤81例、横纹肌肉瘤20例、肾母细胞瘤10例）患儿行^99Tc^m-MDP全身骨显像，观察各自骨转移发生率、表现特征及好发部位。结果 202例患儿骨显像阳性者92例，占45．5％，其中单发病灶20例，多发病灶72例。好发部位为下肢骨骼和椎体。91例淋巴瘤骨显像阳性者38例，占41．8％，单发与多发性转移灶分别占28．9％与71．1％。肾脏受累15例，占16．5％；81例神经母细胞瘤阳性46例，占56．8％，单发与多发性转移灶分别占21，7％与78．3％。原发灶显影30例，占37．0％；20例横纹肌肉瘤阳性8例，占40，0％；10例肾母细胞瘤均未见骨骼转移。结论 骨显像对诊断儿童恶性实体瘤的骨转移有一定的价值，神经母细胞瘤的骨转移最常见，肾母细胞瘤极少发生骨骼浸润。^99Tc^m-MDP骨显像可显示恶性淋巴瘤的肾脏受累情况。     

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.     

血细胞彩色图像的微机自动计数方法探讨

目的　探讨血细胞自动计数的方法。方法　采用微机彩色图像处理技术对血液细胞图像进行图像分割和细胞计数。结果　与人工计数相平行 ,相关系数r =0 .96 1～ 0 .997,P >0 .0 5。结论　该方法可行且计数相对精确、迅速、客观     

MR image segmentation using vector decomposition and probability techniques: A general model and its application to dual-echo images

A general model is developed for segmenting magnetic resonance images using vector decomposition and probabilfty techniques. Each voxel is assigned fractional volumes of q tissues from p differently weighted images (q ≤ p + 1) in the presence of partial-volume mixing, random noise, and other tissues. Compared wtth the eigenimage method, fewer differently weighted images are needed for segmenting the q tissues, and the contrast-to-noise ratio in the calculated fractional volumes is improved. The model can produce com-posrte tissue-type images similar to that of the probability methods, by comparing the fractional volumes assigned to different tissues on each voxel. A three-tissue (p = 2, q = 3) model is illustrated for segmenting three tissues from dual-echo images. M provides statistical analysis to the algebraic method. A three-compartment phantom is segmented for validation. Two clinical examples are presented.