• 沒有找到結果。

腦部功能性磁振造影之機制及臨床運用的研發(3/3)─功能性磁振造影在缺血性腦中風的臨床應用(3/3)

N/A
N/A
Protected

Academic year: 2021

Share "腦部功能性磁振造影之機制及臨床運用的研發(3/3)─功能性磁振造影在缺血性腦中風的臨床應用(3/3)"

Copied!
4
0
0

加載中.... (立即查看全文)

全文

(1)

1

¦æ

¬F°|°ê

®a¬ì

¾Ç

©e-û

·|±MÃD¬ã

¨s-pµeµ²

®×

³ø

§i

¸£

³¡

¥\¯à

©Ê

ºÏ

®¶

³y¼v¤§

¾÷

¨î

¤Î

Á{

§É

¹B¥Î

ªº

‹

µo

¤l-p¹º

¤G ¥\¯à

©Ê

ºÏ

®¶

³y¼v¦b¯Ê

¦å

©Ê

¸£

¤¤

ªº

Á{

§É

¹B¥Î

The Clinical Application of Functional Magnetic Resonance

Imaging in Ischemic Str oke – Final Repor t

-pµe½s¸¹

¡GNSC 88

85-2314-B002-309-M08

°õ

¦æ

´Á

--

¡G85 ¦~8 ¤ë

1 ¤é

¦Ü

88 ¦~7 ¤ë

31 ¤é

¥D«ù

¤H¡G¶À

°ê

-Z ¥x¤jÂå

¾Ç

°|©ñ

®g½u¬ì

ºK-n ¥»¬ã¨s-p¹º©ó¤T¦~¤¤¤À¶¥¬q¬ãµo ¥\¯à©ÊºÏ®¶³y¼v§Þ³N¦b¯Ê¦å©Ê¸£¤¤-· ªºÁ{§ÉÀ³¥Î¡C²Ä¤@¦~-p¹º¤¤¦¬¶°±`¤H µøı»P¹B°Ê¥Ö½è¿Eµo®Éªº¤j¸£¥\¯à©Ê ºÏ®¶¼v¹³ªº¸ê®Æ¡C²Ä¤G¦~¦¬¶°¤F¦³Ãö ¯Ê¦å©Ê¸£¤¤-·¯f¤H¸sªº¤j¸£¥\¯à©ÊºÏ ®¶¼v¹³ªº¸ê®Æ,¨Ã¶i¦æ¶q¤Æ¤ÀªR¡C²Ä¤T ¦~ªº¬ã¨s-«ÂI«h¦b¯Ê¦å©Ê¸£¤¤-·«á¤£ ¦P®É¶¡ªº¥\¯à©ÊºÏ®¶¼v¹³ªºÆ[¹î¡C¥» ¹êÅç¨Ì¾Ú¥H¦¨¹³ªº-ì²z¬°”BOLD”¡C¹êÅç »ö¾¹¬°Á{§É¥Îªº1.5 T Signa (GE)¤Î Magneton (Siemens °t¦³EPI)ªº¾÷¾¹¡C ¥\¯à©Ê¼v¹³¤§¦¨¹³¤èªk¬°T2WI ªº¯ß½Ä §Ç¦C¡C¹êÅç¤èªk¬°¯f¤§³sÄò°Ê¤â«ü¹B °Ê¤Î8Hz ¤§°{¥ú¨ë¿E¡C¥\¯à©Ê¼v¹³ªì ¨B¥H¬ÛÃö«Y¼Æªk¤ÀªR, ¥ý±o¥X»P°²©w ¤§¤èªi§Î¦¡ªº¿é¤J¨ç¼Æ¬ÛÃöµ{«×¸û°ª ¤§µe¯À (P < 0.001)¡C ¶i¤@¨B±q¨Æ°T¸¹±j«×¤Î”ROI”¬Û¹ï ¬¡¤Æµe¯À«ü¼Ðªº-pºâ¡C¤ÀªRµ²ªGÅã¥Ü ¦b«æ©Ê¤¤-·´Á¯fÅÜ°¼ªº©Ê¸¹±j«×§C©ó °·°¼¡CµM¦Ó¦bºC©Ê´Áªºµ²ªG«h¸û½Æ Âø¡CÁöµM-Ó§O¯f¤Hªº¯fÅÜ°¼»P°·°¼ªº ¥\¯à©Ê©Ê¸¹±j«×©Î¬¡¤Æµe¯À¼Æ¦³©úÅã ¤§®t§O,¦ý¥H¸sÅé¦Ó½×¨ä°·°¼»P¯f¨_ °¼ªº®t¨Ã¥¼¹F¨ì²Î-p¤WÅãµÛ·N¸q¡C µ²½×¬°¥\¯à©ÊºÏ®¶³y¼v§Þ³N¦b¯Ê ¦å©Ê¸£¤¤-·ªº¯f¤HÁö¥i¥Î¥Hµû¦ô¥\¯à ¤ÏÀ³ªº¤£¦P,¦ý¨ä¼vÅT¦]¯À¥i¯à¬Û·í ½ÆÂø¡C¦p¦ó¥h¶i¤@¨B±±¨î¦U¶µ¤zÂZ¦] ¤l,¦pµo¯f®É¶¡»P¥\¯à»ÙꪺÄY-«µ{ «×±N¬O¥D-n½ÒÃD,-ȱo¶i¤@¨B±´°Q¡C ÃöÁäµü¡G¥\¯à©ÊºÏ®¶¼v¹³¡Aµøı¥Ö½è¡A ¹B°Ê¥Ö½è¡A¦å¬õ¯À¡A¯Ê¦å©Ê¸£¤¤-·¡C Abstract

The three-year research project intended to develop new techniques of functional magnetic resonance imaging (fMRI) and its clinical application on ischemic stroke in three different stages. In our first yea plan, we collected the normal data of fMRI from visual and motor stimulations. In the second year, we collect data from patients with ischemic brain infarcts. In the last year we emphasizing the influence of time factor after the stroke episode. The basic principle of our experiment is so called “blood oxygen level dependent” (BOLD) effect. The experiment was implemented on a clinical machine of 1.5 T GE Signa and Siemens Magneton (with EPI). The pulse sequence for imaging acquisition was T2WI such as “FLASH” in gradient echo or EPI. The experiment was carried out with the finger tapping movement and 8-Hz flash light visual stimulation in normal subjects. The functional images first went through the post- processing of correlation coefficient. Those pixels highly correlated (p < 0.001) with an assumed input function were mapped

(2)

2 back on to structure images. Further quantitation was perfomed on signal intensity and relative index of regional of interest (ROI ). The analysis showed in the acute stage, the response on the lesion side was weaker than the sound side. However, in the chronic stage the response being more complicated and worth further study.

Keywords: Functional Magnetic Resonance Imaging, Visual Cortex, Motor Cortex, Hemoglobin, Ischemic Stroke

Introduction

Functional MRI is the technology utilizing intrinsic contrast agent (Oxy- vs. Deoxyhemoglobin) for the study of the perfusion changes during activation of specific brain regions, e.g., motor, sensory or visual cortex. The theoretic basis of this intrinsic contrast agent bases on a phenomenon called Blood Oxygen Level-Dependent¡]BOLD¡^first proposed by Ogawa et al. The BOLD effect originates from that at tissue or capillary level, the diamagnetic oxyhemoglobin gives up its oxygen and results in paramagnetic deoxyhemoglobin. The presence of paramagnetic molecules in blood produces alternation in magnetic susceptibility, which in turn changes the effective decay rate of transverse magnetization. Susceptibility variations induce local field difference, which cause dephasing of spins leading to attenuation of signal intensity in gradient echo images. The variations are most pertinent for functional MRI in tissue corresponding to changes in concentration of paramagnetic deoxyhemoglobin in blood within the capillaries, which in turn are indicators of changes in tissue perfusion.

On the other hand, with the conventional MR technique, the acute findings of ischemic infarct can only be demonstrated by some indirect "signs",

such as loss of gray matter ¡Xwhite matter interface, perifocal edema represented by increased intensity on T2WI, breakdown of BBB by Gd-DTPA enhancement ... etc.. In the later stage, the change in tissue characterization such as loss of neurons, encephalomalacia indicated by decreased intensity on T1WI, are already "signs" for irreversible brain tissue damage. Hence, no information about those tissue of hypoperfusion¡Ð penumbra regions could be obtained. Since the viable tissue is the corner stone for neurological improvement after stroke. It is our greatest concern, whether or not the area of reversible ischemic change could be defined quantitatively. Through this clinical endeavors to protect and save those penumbra could then be developed. Material and Methods

Subject

In the first year of the project data from normal control was collected with motor and visual stimulation. In the second, patients with ischemic infarcts were studied. In the last year of the project, we studied patient with ischemic stroke with different time interval from the onset.

Part A Motor Study

Subjects participated in the motor study, were asked to move their fingers of one hand in a way that each finger opposes the thumb tip alternatively and continuously in order to activate the motor cortex of the contralateral side during the imaging acquisition process. Part B Visual Study

During the visual study, red flash light from LED-goggled were given simultaneously to both eyes of the subjects to activated their visual cortex. The stimulation frequency is set at 8 Hz to obtain optimal response of the visual activation.

(3)

3 Image Acquisition

Images were acquired on a 1.5 T GE Signa and 1.5 T Siemens Magneton (with EPI) clinical imager located at the department of radiology in national Taiwan university hospital. For experiment with Signa surface coils were applied in the experiment. A 5-inche surface coils were placed against the occipital pole for the visual study; and one pair of T-M-J surface coils were placed symmetrically in the frontoparietal regions just above the motor cortex. Birdcage volume coil was used in the Magneton machine.

Conventional MR Imaging

Conventional pulse sequence imaging were also obtained in each subjects including the T1WI, T2WI and the PD images.

f-MRI Study

In Signa study, single slice was used in either experiment, the slice went through the calcarine gyrus was chosen for the visual study and the slice went through the motor cortex was chosen for the motor study. “FLASH” pulse sequence in gradient echo was adopted in generating the functional images. The parameters were as following : TR 110 / TE 50 / alpha = 45 / FOV 24X24 / 256X128 / NEX = 1 / slide thickness = 4 mm / FC. In Magnetion, six to eight slices were used in either experiment, slices went through the calcarine gyrus was chosen for the visual study, and slice went through sensory-motor cortex for sensory-motor study. T2WI in EPI pulse sequence was adopted in generating the functional images. The parameters were as following : TR 2000 / TE 54 / FOV

40X40 / 256X128 / NEX = 1 / slide thickness = 4 mm.

Image Processing

After the images were acquired, the post-processing algorithm i.e., correlation coefficient was applied to those functional images. The computation was on the degree of correlation to an assumed input function that was a square wave function in our experiment. The activated pixels (those over the statistic threshold) were then displayed and mapped back on to the T1WI image of the same level or on to the original image. Further analyses focused on those activated pixels. On one hand the averaged signal intensity in the region of interest (ROI) were computed and expressed in percentage. On the other hand the pixel number in ROI as well as the control area was calculated and the relative index between the ROI / control was then obtained. The former analysis was performed in either modality, visual and motor while the latter method was done only on motor stimulation.

Results

Part A Motor Study

Motor stimulation increased signal intensity over the motor cortex. In control group, the averaged signal changes in ROI during activation was 5.06¡Ó 0.9 %. The relative actvating index of ROI / Control area was 4.85 ¡Ó2.75. In patient group, motor activation evoked signal intensity changes over motor cortex of either hemisphere. The averaged signal intensity change (SIC) in ROI of motor cortex during activation was 1.67 ¡Ó1.03 % on the normal side and 1.48 ¡Ó0.4 % on the lesion side. The relative APN in ROI of normal side is 0.51 and 0.49 for lesion

(4)

4 side. Therefore, the RAI of motor response in this study is 1.97. However, none reached statistic significance.

Fig. 1A 1B

Fig.1 A) T2WI showed increased signal intensity at the corona radiata of the right hemisphere. B) Upper chart showed response from left motor cortex with an activated pixel number (APN) of 24 and SIC of 1.82 %. Lower chart showed response from the right side with an APN of 9 and SIC of 1.58%. Part B Visual study

Visual cortex stimulation increased signal intensity in the occipital cortex mainly over bilateral banks of the calcarine sulci The signal changes during the activation was 6.1¡Ó2.8 %.

In patient group, visual activation task resulted an averaged SIC of 3.32¡Ó2.06 % on the normal side and 3.56¡Ó1.23 % on the lesion side. The relative APN of the normal side is 0.58 and 0.42 for the lesion side. Consequently, the RAI of normal versus lesion is 1.31. Again, non-of these reach statistic significance.

Fig.2A 2B

Fig 2A Functional images with activated pixels displayed against on a TIWI structure image. Ischemic lesion can be seen in the right occipital cortex. 2B Upper chart showed functional response from the left occipital

lobe with an APN of 285 and SIC 0.98% while lower chart showed response from the right side withan APN of 96 and SCI 2.97%. Discussion

Correlation coefficient is a popular post-processing algorithm. It is indeed robust and is capable of demonstrating the activated regions. However, high correlation simply means that the response is better conformed to the input function, which we have assumed as a “square wave”. Nevertheless the brain does not necessarily behave as a “square wave”. Therefore we need more information about the temporal sequence of the brain response. Methods emphasizing “data driven” should be explored among which algorithm applying artificial neural net especially those of unsupervised, self-organized net worth our further attention. In our research projects new technique has been developed from other subprogram. Preliminary implement of the automatic algorithm of identifying functional response in the normal human brain as well as in the ischemic brain has been.

In order to have better measurement of the response in certain cortical area, we measured the signal changes in voxel other than pixel. To achieve this goal multi-slice acquisition is preferred. Therefore, EPI is a superior tecnique in terms of speed of acquisition.

In conclusion, the promising techn-ology of functional MR imaging was applied in a preliminary clinical study for ischemic stroke patients. It is our long-term goal that a non-invasive and convenient model for investigating therapeutic approaches in clinical as well as experimental settings will be established on the foundation we have constructed in this integrated three-year project.

數據

Fig  2A  Functional  images  with  activated pixels  displayed  against  on  a  TIWI  structure image

參考文獻

相關文件

而此時,對於相對成長率為 k 的族群,其滿足族群成長模型 的解為指數函數 Ce kt ,此時的 k 便是指數中時間 t

[r]

Department of Mathematics, National Taiwan Normal University, Taiwan..

Then, we tested the influence of θ for the rate of convergence of Algorithm 4.1, by using this algorithm with α = 15 and four different θ to solve a test ex- ample generated as

Numerical results are reported for some convex second-order cone programs (SOCPs) by solving the unconstrained minimization reformulation of the KKT optimality conditions,

Particularly, combining the numerical results of the two papers, we may obtain such a conclusion that the merit function method based on ϕ p has a better a global convergence and

Then, it is easy to see that there are 9 problems for which the iterative numbers of the algorithm using ψ α,θ,p in the case of θ = 1 and p = 3 are less than the one of the

By exploiting the Cartesian P -properties for a nonlinear transformation, we show that the class of regularized merit functions provides a global error bound for the solution of