MRI (Magnetic Resonance Imaging): An Important tool for Biological Science

Magnetic resonance imaging (MRI), nuclear magnetic resonance imaging (NMRI), ormagnetic resonance tomography (MRT) is a medical imaging technique used in radiologyto image the anatomy and the physiological processes of the body in both health and disease. MRI scanners use strong magnetic fieldsradio waves, and field gradients to form images of the body. MRI is based upon the science of Nuclear Magnetic Resonance (NMR). Certain atomic nuclei can absorb and emit radio frequency energy when placed in an external magnetic field. In clinical and research MRI, hydrogen atoms are most-often used to generate a detectable radio-frequency signal that is received by antennas in close proximity to the anatomy being examined. Hydrogen atoms exist naturally in people and other biological organisms in abundance, particularly in water and fat. For this reason, most MRI scans essentially map the location of water and fat in the body. Pulses of radio waves are used to excite the nuclear spin energy transition and magnetic field gradients localize the signal in space. By varying the parameters of the pulse sequence, different contrasts can be generated between tissues based on the relaxation properties of the hydrogen atoms therein. Since its early development in the 1970s and 1980s, MRI has proven to be a highly versatile imaging modality. While MRI is most prominently used in diagnostic medicine and biomedical research, it can also be used to form images of non-living objects. MRI scans are capable of producing a variety of chemical and physical data, in addition to detailed spatial images. MRI is widely used in hospitals and clinics for medical diagnosis, staging of disease and follow-up without exposing the body to ionizing radiation. MRI has a wide range of applications in medical diagnosis and over 25,000 scanners are estimated to be in use worldwide. MRI affects diagnosis and treatment in many specialties although the effect on improved health outcomes is uncertain. Since MRI does not use any ionizing radiation, its use is generally favored in preference to CT when either modality could yield the same information.  (In certain cases, MRI is not preferred as it can be more expensive, time-consuming, and claustrophobia-exacerbating). MRI is in general a safe technique but the number of incidents causing patient harm has risen. Contraindications to MRI include most cochlear implants and cardiac pacemakersshrapnel and metallic foreign bodies in the eyes. The safety of MRI during the first trimester of pregnancy is uncertain, but it may be preferable to other options. The sustained increase in demand for MRI within the health care industry has led to concerns about cost effectiveness and over-diagnosis. MRI is the investigative tool of choice for neurological cancers, as it has better resolution than CT and offers better visualization of the posterior fossa. The contrast provided between grey and white matter makes it the best choice for many conditions of the central nervous system, including  demyelinating diseasesdementiainfectious diseases and epilepsy. Since many images are taken milliseconds apart, it shows how the brain responds to different stimuli; researchers can then study both the functional and structural brain abnormalities in psychological disorders.  
MRI and Time
Magnetic resonance imaging was invented by Paul C. Lauterbur in September 1971; he published the theory behind it in March 1973. The factors leading to image contrast (differences in tissue relaxation time values) had been described nearly 20 years earlier by Erik Odeblad (physician and scientist).  In 1950, spin echoes were first detected by Erwin Hahn and in 1952, Herman Carr produced a one-dimensional NMR spectrum as reported in his Harvard PhD thesis. In the Soviet UnionVladislav Ivanov filed (in 1960) a document with the USSR State Committee for Inventions and Discovery at Leningrad for a Magnetic Resonance Imaging device, although this was not approved until the 1970s. In a March 1971 paper in the journal ScienceRaymond Damadian, an Armenian-American physician and professor at the Downstate Medical Center State University of New York (SUNY), reported that tumors and normal tissue can be distinguished in vivo by nuclear magnetic resonance ("NMR"). He suggested that these differences could be used to diagnose cancer, though later research would find that these differences, while real, are too variable for diagnostic purposes. Damadian's initial methods were flawed for practical use, relying on a point-by-point scan of the entire body and using relaxation rates, which turned out not to be an effective indicator of cancerous tissue. While researching the analytical properties of magnetic resonance, Damadian created a hypothetical magnetic resonance cancer-detecting machine in 1972. He filed the first patent for such a machine, U.S. Patent 3,789,832 on March 17, 1972, which was later issued to him on February 5, 1974. The US National Science Foundation notes "The patent included the idea of using NMR to 'scan' the human body to locate cancerous tissue." However, it did not describe a method for generating pictures from such a scan or precisely how such a scan might be done. Meanwhile, Paul Lauterbur at Stony Brook University expanded on Carr's technique and developed a way to generate the first MRI images, in 2D and 3D, using gradients. In 1973, Lauterbur published the first nuclear magnetic resonance image and the first cross-sectional image of a living mouse in January 1974. In the late 1970s, Peter Mansfield, a physicist and professor at the University of NottinghamEngland, developed the echo-planar imaging (EPI) technique that would lead to scans taking seconds rather than hours and produce clearer images than Lauterbur had. Damadian, along with Larry Minkoff and Michael Goldsmith, obtained an image of a tumor in the thorax of a mouse in 1976. They also performed the first MRI body scan of a human being on July 3, 1977, studies which they published in 1977. In 1979, Richard S. Likes filed a patent on k-space U.S. Patent 4,307,343.
During the 1970s a team led by John Mallard built the first full body MRI scanner at the University of Aberdeen. On 28 August 1980 they used this machine to obtain the first clinically useful image of a patient's internal tissues using Magnetic Resonance Imaging (MRI), which identified a primary tumour in the patient's chest, an abnormal liver, and secondary cancer in his bones. It was later used at St Bartholomew's Hospital, in London, from 1983 to 1993. Mallard and his team are credited for technological advances that led to the widespread introduction of MRI. In 1975, the University of California, San Francisco Radiology Department founded the Radiologic Imaging Laboratory (RIL). With the support of Pfizer, Diasonics, and later Toshiba America MRI, the lab developed new imaging technology and installed systems in the US and worldwide. In 1981 RIL researchers, including Leon Kaufman and Lawrence Crooks, published Nuclear Magnetic Resonance Imaging in Medicine. In the 1980s the book was considered the definitive introductory textbook to the subject. In 1980 Paul Bottomley joined the GE Research Center in Schenectady, NY. His team ordered the highest field-strength magnet then available — a 1.5T system — and built the first high-field device, overcoming problems of coil design, RF penetration and signal-to-noise ratio to build the first whole-body MRI/MRS scanner.
 In 1982, Bottomley performed the first localized MRS in the human heart and brain. After starting a collaboration on heart applications with Robert Weiss at Johns Hopkins, Bottomley returned to the university in 1994 as Russell Morgan Professor and director of the MR Research Division. Although MRI is most commonly performed at 1.5 T, higher fields such as 3T are gaining more popularity because of their increased sensitivity and resolution. In research laboratories, human studies have been performed at up to 9.4 T and animal studies have been performed at up to 21.1T.
Reflecting the fundamental importance and applicability of MRI in medicine, Paul Lauterbur of the University of Illinois at Urbana-Champaign and Sir Peter Mansfield of the University of Nottingham were awarded the 2003 Nobel Prize in Physiology or Medicine for their "discoveries concerning magnetic resonance imaging". The Nobel citation acknowledged Lauterbur's insight of using magnetic field gradients to determine spatial localization, a discovery that allowed rapid acquisition of 2D images. Mansfield was credited with introducing the mathematical formalism and developing techniques for efficient gradient utilization and fast imaging. The actual research that won the prize was done almost 30 years before while Paul Lauterbur was a professor in the Department of Chemistry at Stony Brook University in New York.

Important Applications

D- MRI
Diffusion MRI measures the diffusion of water molecules in biological tissues. Clinically, diffusion MRI is useful for the diagnoses of conditions (e.g., stroke) or neurological disorders (e.g., multiple sclerosis), and helps better understand the connectivity of white matter axons in the central nervous system. In anisotropic medium (inside a glass of water for example), water molecules naturally move randomly according to turbulence and Brownian motion. In biological tissues however, where the Reynolds number is low enough for flows to be laminar, the diffusion may be anisotropic. For example, a molecule inside the axon of a neuron has a low probability of crossing the myelin membrane. Therefore, the molecule moves principally along the axis of the neural fiber. If it is known that molecules in a particular voxel diffuse principally in one direction, the assumption can be made that the majority of the fibers in this area are parallel to that direction.
MAGNETIC RESONANCE ANGIOGRAPHY
Magnetic resonance angiography (MRA) generates pictures of the arteries to evaluate them forstenosis (abnormal narrowing) or aneurysms (vessel wall dilatations, at risk of rupture). MRA is often used to evaluate the arteries of the neck and brain, the thoracic and abdominal aorta, the renal arteries, and the legs (called a "run-off"). A variety of techniques can be used to generate the pictures, such as administration of a paramagnetic contrast agent (gadolinium) or using a technique known as "flow-related enhancement" (e.g., 2D and 3D time-of-flight sequences), where most of the signal on an image is due to blood that recently moved into that plane, see also FLASH MRI. Techniques involving phase accumulation (known as phase contrast angiography) can also be used to generate flow velocity maps easily and accurately. Magnetic resonance venography (MRV) is a similar procedure that is used to image veins. In this method, the tissue is now excited inferiorly, while the signal is gathered in the plane immediately superior to the excitation plane—thus imaging the venous blood that recently moved from the excited plane.
MAGNETIC RESONANCE SPECTROSCOPY
Magnetic resonance spectroscopy (MRS) is used to measure the levels of different metabolites in body tissues. The MR signal produces a spectrum of resonances that corresponds to different molecular arrangements of the isotope being "excited". This signature is used to diagnose certain metabolic disorders, especially those affecting the brain, and to provide information on tumor metabolism. Magnetic resonance spectroscopic imaging (MRSI) combines both spectroscopic and imaging methods to produce spatially localized spectra from within the sample or patient. The spatial resolution is much lower (limited by the available SNR), but the spectra in each voxel contains information about many metabolites. Because the available signal is used to encode spatial and spectral information, MRSI requires high SNR achievable only at higher field strengths (3 T and above).

FUNCTIONAL MRI
Functional MRI (fMRI) measures signal changes in the brain that are due to changing neural activity. Compared to anatomical T1W imaging, the brain is scanned at lower spatial resolution but at a higher temporal resolution (typically once every 2–3 seconds). Increases in neural activity cause changes in the MR signal via T*
2 changes; this mechanism is referred to as the BOLD (
blood-oxygen-level dependent) effect. Increased neural activity causes an increased demand for oxygen, and the vascular system actually overcompensates for this, increasing the amount of oxygenated hemoglobin relative to deoxygenated hemoglobin. Because deoxygenated hemoglobin attenuates the MR signal, the vascular response leads to a signal increase that is related to the neural activity. The precise nature of the relationship between neural activity and the BOLD signal is a subject of current research. The BOLD effect also allows for the generation of high resolution 3D maps of the venous vasculature within neural tissue.
REAL-TIME MRI
Real-time MRI refers to the continuous monitoring ("filming") of moving objects in real time. While many different strategies have been developed over the past two decades, a recent development reported a real-time MRI technique based on radial FLASH and iterative reconstruction that yields a temporal resolution of 20 to 30 milliseconds for images with an in-plane resolution of 1.5 to 2.0 mm. The new method promises to add important information about diseases of the joints and the heart. In many cases MRI examinations may become easier and more comfortable for patients.
MAGNETIC RESONANCE GUIDED FOCUSED ULTRASOUND
In MRgFUS therapy, ultrasound beams are focused on a tissue—guided and controlled using MR thermal imaging—and due to the significant energy deposition at the focus, temperature within the tissue rises to more than 65 °C (150 °F), completely destroying it. This technology can achieve precise ablation of diseased tissue. MR imaging provides a three-dimensional view of the target tissue, allowing for precise focusing of ultrasound energy. The MR imaging provides quantitative, real-time, thermal images of the treated area. This allows the physician to ensure that the temperature generated during each cycle of ultrasound energy is sufficient to cause thermal ablation within the desired tissue and if not, to adapt the parameters to ensure effective treatment.
MULTINUCLEAR IMAGING
Hydrogen is the most frequently imaged nucleus in MRI because it is present in biological tissues in great abundance, and because its high gyromagnetic ratio gives a strong signal. However, any nucleus with a net nuclear spin could potentially be imaged with MRI. Such nuclei include helium-3, lithium-7, carbon-13, fluorine-19, oxygen-17sodium-23, phosphorus-31 and xenon-129. 23Na and 31P are naturally abundant in the body, so can be imaged directly. Gaseous isotopes such as 3He or 129Xe must be hyperpolarized and then inhaled as their nuclear density is too low to yield a useful signal under normal conditions. 17O and 19F can be administered in sufficient quantities in liquid form (e.g. 17O-water) that hyperpolarization is not a necessity.
MOLECULAR IMAGING BY MRI
MRI has the advantages of having very high spatial resolution and is very adept at morphological imaging and functional imaging. MRI does have several disadvantages though. First, MRI has a sensitivity of around 10−3 mol/L to 10−5 mol/L which, compared to other types of imaging, can be very limiting. This problem stems from the fact that the population difference between the nuclear spin states is very small at room temperature. For example, at 1.5 teslas, a typical field strength for clinical MRI, the difference between high and low energy states is approximately 9 molecules per 2 million. Improvements to increase MR sensitivity include increasing magnetic field strength, andhyperpolarization via optical pumping or dynamic nuclear polarization. There are also a variety of signal amplification schemes based on chemical exchange that increase sensitivity.
BIBLIOGRAPHY
Hollingworth W; Todd CJ; Bell MI; Arafat Q; Girling S; Karia KR; Dixon AK (2000). "The diagnostic and therapeutic impact of MRI: an observational multi-centre study". Clin Radiol 55 (11): 825–31.doi:10.1053/crad.2000.0546PMID 11069736.
Wang PI; Chong ST; Kielar AZ; Kelly AM; Knoepp UD; Mazza MB; Goodsitt MM (2012). "Imaging of pregnant and lactating patients: part 1, evidence-based review and recommendations". AJR Am J Roentgenol 198 (4): 778–84. doi:10.2214/AJR.11.7405.PMID 22451541.
Smith-Bindman R; Miglioretti DL; Johnson E; Lee C; Feigelson HS; Flynn M; Greenlee RT; Kruger RL; Hornbrook MC; et al. (2012). "Use of diagnostic imaging studies and associated radiation exposure for patients enrolled in large integrated health care systems, 1996-2010". JAMA 307 (22): 2400–9. doi:10.1001/jama.2012.5960.PMC 3859870PMID 22692172.
Nolen-Hoeksema, Susan (2014). Abnormal Psychology (Sixth ed.). New York, NY: McGraw-Hill Education. p. 67.
Saleh, H; Kassas, B (2015). "Developing Stereotactic Frames for Cranial Treatment". In Benedict, SH; Schlesinger, DJ; Goetsch, SJ; Kavanagh, BD. Stereotactic Radiosurgery and Stereotactic Body Radiation Therapy. Boca Raton: CRC Press. pp. 156–159.
Khan, FR; Henderson, JM (2013). "Deep Brain Stimulation Surgical Techniques". In Lozano, AM; Hallet, M. Brain Stimulation: Handbook of Clinical Neurology 116. Amsterdam: Elsevier. pp. 28–30.
Arle, J (2009). "Development of a Classic: the Todd-Wells Apparatus, the BRW, and the CRW Stereotactic Frames". In Lozano, AM; Gildenberg, PL; Tasker, RR. Textbook of Stereotactic and Functional Neurosurgery. Berlin: Springer-Verlag. pp. 456–461.
Sharan, AD; Andrews, DW (2003). "Stereotactic Frames: Technical Considerations". In Schulder, M; Gandhi, CD. Handbook of Stereotactic and Functional Neurosurgery. New York: Marcel Dekker. pp. 16–17.

 Apuzzo, MLJ; Fredericks, CA (1988). "The Brown-Roberts-Wells System". In Lunsford, LD. Modern Stereotactic Neurosurgery. Boston: Martinus Nijhoff Publishing. pp. 63–77.

SURGICAL ROBOTS IN NEUROSURGERY

M. Kumari

A surgical robot is a robot that allows surgeons greater access to areas under operation using more precise and less invasive methods. They are in most telemanipulators, which use the surgeon's actions on one side to control the "effector" on the other side. Basically they are computer-assisted surgery. Robotically-assisted surgery was developed to overcome the limitations of pre-existing minimally-invasive surgical procedures and to enhance the capabilities of surgeons performing open surgery. The first robot to assist in surgery was the Arthrobot, which was developed and used for the first time in Vancouver in 1983. Intimately involved were biomedical engineer, Dr. James McEwen, Geof Auchinleck, a UBC engineering physics grad, and Dr. Brian Day as well as a team of engineering students. The robot was used in an orthopaedic surgical procedure on 12 March 1984, at the UBC Hospital in Vancouver. Over 60 arthroscopic surgical procedures were performed in the first 12 months, and a 1985 National Geographic video on industrial robots, The Robotics Revolution, featured the device. Other related robotic devices developed at the same time included a surgical scrub nurse robot, which handed operative instruments on voice command, and a medical laboratory robotic arm.

In 1985 a robot, the Unimation Puma 200, was used to place a needle for a brain biopsy using CT guidance.[45] In 1992, the PROBOT, developed at Imperial College London, was used to perform prostatic surgery by Dr. Senthil Nathan at Guy's and St Thomas' Hospital, London. This was the first pure robotic surgery in the world. Also the Robot Puma 560, a robot developed in 1985 by Kwoh et al. Puma 560 was used to perform neurosurgical biopsies with greater precision. Just like with any other technological innovation, this system led to the development of new and improved surgical robot called PROBOT. The PROBOT was specifically designed for transurethral resection of the prostate. Meanwhile, when PROBOT was being developed, ROBODOC, a robotic system designed to assist hip replacement surgeries was the first surgical robot that was approved by the FDA.[46] The ROBODOC from Integrated Surgical Systems (working closely with IBM) was introduced in 1992 to mill out precise fittings in the femur for hip replacement. The purpose of the ROBODOC was to replace the previous method of carving out a femur for an implant, the use of a mallet and broach/rasp.Further development of robotic systems was carried out by SRI International and Intuitive Surgical with the introduction of the da Vinci Surgical System and Computer Motion with the AESOP and the ZEUS robotic surgical system. The first robotic surgery took place atThe Ohio State University Medical Center in Columbus, Ohio under the direction of Robert E. Michler. Examples of using ZEUS include a fallopian tube reconnection in July 1998, a beating heart coronary artery bypass graft in October 1999,[51] and the Lindbergh Operation, which was a cholecystectomy performed remotely in September 2001.The original telesurgery robotic system that the da Vinci was based on was developed at SRI International in Menlo Park with grant support from DARPA and NASA.[53] Although the telesurgical robot was originally intended to facilitate remotely performed surgery in battlefield and other remote environments, it turned out to be more useful for minimally invasive on-site surgery. The patents for the early prototype were sold to Intuitive Surgical in Mountain View, California. The da Vinci senses the surgeon's hand movements and translates them electronically into scaled-down micro-movements to manipulate the tiny proprietary instruments. It also detects and filters out any tremors in the surgeon's hand movements, so that they are not duplicated robotically. The camera used in the system provides a true stereoscopic picture transmitted to a surgeon's console. Examples of using the da Vinci system include the first robotically assisted heart bypass (performed in Germany) in May 1998, and the first performed in the United States in September 1999;and the first all-robotic-assisted kidney transplant, performed in January 2009.[54] The da Vinci Si was released in April 2009, and initially sold for $1.75 million. In May 2006 the first artificial intelligence doctor-conducted unassisted robotic surgery on a 34-year-old male to correct heart arythmia. The results were rated as better than an above-average human surgeon. The machine had a database of 10,000 similar operations, and so, in the words of its designers, was "more than qualified to operate on any patient". In August 2007, Dr. Sijo Parekattil of the Robotics Institute and Center for Urology (Winter Haven Hospital and University of Florida) performed the first robotic assisted microsurgery procedure denervation of the spermatic cord for chronic testicular pain. In February 2008, Dr. Mohan S. Gundeti of theUniversity of Chicago Comer Children's Hospital performed the first robotic pediatric neurogenic bladder reconstruction. On 12 May 2008, the first image-guided MR-compatible robotic neurosurgical procedure was performed at University of Calgary by Dr. Garnette Sutherland using the NeuroArm. 
In June 2008, the German Aerospace Centre (DLR) presented a robotic system for minimally invasive surgery, the MiroSurge. In September 2010, the Eindhoven University of Technology announced the development of the Sofie surgical system, the first surgical robot to employ force feedback.[62] In September 2010, the first robotic operation at thefemoral vasculature was performed at the University Medical Centre Ljubljana by a team led by Borut GerÅ¡ak.
Even various reports and inventions revealed that there are sound development was noticed in Surgical Robot although need much work in Neurosurgery. Several systems for stereotactic intervention are currently on the market for Neurogergery. The NeuroMate was the first neurosurgical robot, commercially available in 1997. Originally developed in Grenoble by Alim-Louis_Benabid's team, it is now owned by Renishaw. With installations in the United States, Europe and Japan, the system has been used in 8000 stereotactic brain surgeries by 2009. IMRIS Inc.'s SYMBIS(TM) Surgical System will be the version of NeuroArm, the world's first MRI-compatible surgical robot, developed for world-wide commercialization. Medtech's Rosa is being used by several institutions, including the Cleveland Clinic in the U.S, and in Canada at Sherbrooke University and the Montreal Neurological Institute and Hospital in Montreal (MNI/H). Between June 2011 and September 2012, over 150 neurosurgical procedures at the MNI/H have been completed robotized stereotaxy, including in the placement of depth electrodes in the treatment of epilepsy, selective resections, and stereotaxic biopsies.
All these instruments and techniques are not enough in the line of Neurosurgery. I think; we need sound software with proper mechanical devices for the surgery and working function of neurons. Applications should be designed for wide spectrum which has ability to understand the automatic nano mechanisms. It should be cost effective for all the levels of community of all continents.



Bibliography

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2.      Kolata, Gina (13 February 2010). "Results Unproven, Robotic Surgery Wins Converts". The New York Times. Retrieved11 March 2010.
3.      Robot-Assisted Surgery: Neurosurgery". Biomed.brown.edu. Retrieved 25 June 2013.
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5.      Carlson, Neil R."Physiology of Behavior".Pearson Education, Inc., 2013. p.134.
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7.      Tsao, May N. (2012). "International Practice Survey on the Management of Brain Metastases: Third International Consensus Workshop on Palliative Radiotherapy and Symptom Control".Clinical Oncology 24 (6): e81–e92.

Salomonia cantoniensis Lour.

Salomonia cantoniensis Lour.
Fam: Polygalaceae
Distribution: E, C, S & SW China; Bhutan, Cambodia, India, Indonesia, Laos, Malaysia, Myanmar, Nepal, Thailand, Vietnam,
Philippines, Australia.
Ecology: Forests on hillslopes. Flowering: Jul.–Aug.; fruiting: Aug.–Oct.
Uses: Medicinal (folklore).
Herbs annual, erect, 5-25 cm tall. Roots slender, fragrant. Stem thin, multibranched, 3-winged, glabrous. Petiole 1.5-2 mm; leaf blade ovate-cordate or cordate, 5-16 × 5-12 mm, membranous, glabrous, 3-veined, base cordate or truncate, margin entire or slightly undulate, apex obtuse, mucronate. Spike terminal, 1-6 cm, elongated after anthesis. Flowers very small, 2-3 mm, sessile; bracts caducous, very small.

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