Medical Imaging: Where's The Software? - InformationWeek

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Healthcare // Analytics

Medical Imaging: Where's The Software?

Analysis software for routine clinical use is almost non-existent -- yet is vitally important to help improve diagnoses.

Adobe Photoshop launched in 1988. JPEG and MPEG standards came out in 1988. And the first digital camera debuted in 1988. That these three events all happened in the same year was pure serendipity.

These independent events, spearheaded respectively by Adobe, Joint Photographic Experts Group, and Fuji, provided the hardware necessary to transform analog into digital, and the software required to analyze it. That it happened in the same year was coincidence, but it was no accident that digital photography rapidly became mainstream in subsequent years.

Medical imaging, however, has not been fortunate enough to enjoy the timely combination of digital know-how and software development, and the trend is about to repeat itself in the area of next-generation sequencing (NGS). For all practical purposes, analysis software for routine clinical use still is almost non-existent.

[Outrageous ideas often aren't. Read Innovation Favors The Subversive Mind.]

Two previous examples from medical imaging should demonstrate the folly of not linking analysis software with the underlying digital medical breakthrough.

England's Godfrey Hounsfield of EMI Laboratories invented computed tomography (CT) in 1972. GE and Siemens installed the first clinical CTs in the early 1970s. But image analysis software to interpret these images lagged by two decades. To be fair, homegrown algorithms for display, visualization, and analysis were used by academic medical centers as early as the 1980s. However, commercially available, industrial-strength packages did not become mainstream until the early 1990s. Shortly thereafter, digital imaging in medicine truly took off.

Moving from radiology to pathology, the chronology was reversed. The first packages for analysis and visualization of pathology images were available in the mid-1990s and were applied to extremely small regions of interest taken from pathology slides in various laboratories. Aperio and BioImagene commercialized the first industrial-strength whole-slide scanners for tissue slides nearly 10 years later. Much like in radiology, it was the combination of scanners and analysis software that made digital pathology take off and laid the groundwork for routine clinical use.

Radiology and pathology have amply demonstrated that clinical use of imaging -- rich sources of diagnostics information -- is only feasible with analysis software that can cope with the complexity and can scale up with the number of dimensions and the size of the data. The issue is only getting more acute. For each of the examples above, dimensionality is up, data size is way up, and the complexity of analysis software is way, way up.

Today's digital photos are two-dimensional and approximately 10 megabytes in size. Today's CT images are three-dimensional and can easily have up to 10 gigabytes of data. A typical multi-stain pathology slide is four-dimensional and can frequently rack up 100 gigabytes to 1 terabyte of data. NGS output is also multi-dimensional, with data streams ranging between 1 and 10 terabytes.

Some efforts are under way in NGS to address this problem, but this will be a potentially decades-long journey. Numerous academic medical centers and companies such as Foundation Medicine, NextBio (recently acquired by Illumina), Omicia, CollabRx, Strand Genomics, and Core Diagnostics have collectively invested some of the smartest minds and many years of work in developing algorithms and analysis software for interpreting NGS data. The applications, however, are limited to oncology and genetic disorders.

This is just the tip of the iceberg. Applications in areas such as metabolic disorders, neurodegenerative disease, and cardiovascular disease are on the horizon, yet much of the focus is on small segments of variation such as single-nucleotide polymorphisms. Although these might be steps in the right direction, there is still difficulty in understanding how to combine genotypic and phenotypic information in a meaningful way. Routine clinical use by physicians is still many years away, with challenges including education, awareness, and regulatory and reimbursement barriers.

But as with most things in medicine, with time and technology, progress is inevitable such that we can move from analysis to interpretation to action. But that progress can only be truly realized if we acknowledge that the "S" in NGS also must represent software.

While there's a role for PhD-level data scientists, the real power is in making advanced analysis work for mainstream -- often Excel-wielding -- business users. Here's how. Get the Analytics For All issue of InformationWeek Tech Digest today (free registration required).

Ajit Singh (pictured) and Akhil Saklecha are managing directors at Artiman Ventures, an early-stage Silicon Valley-based venture fund that invests in white space companies that create or disrupt multi-billion dollar markets. Dr. Singh is also a Consulting Professor in the ... View Full Bio

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8/24/2015 | 8:36:55 AM
Introduction of Advanced Medical Imaging Equipment Driving Global Growth
Modern and technologically advanced imaging techniques and equipment have aided the diagnosis of even complex diseases such as Parkinson's and Alzheimer's. Sophisticated medical imaging equipment are not only non-invasive in nature but also deliver accurate and speedy diagnosis.

Factors such as rising incidence of target diseases, expanding percentage of geriatric population, technological advancements, and increasing initiatives by government and private bodies have contributed to the overall growth of the medical imaging equipment market. In addition, rise in disposable income and growing patient pool in emerging economies is likely to boost the demand for medical imaging equipment in the near future.

In contrast, excise duty imposed on the sale of medical devices in the U.S. and low patient adoption rate for conventional MRI and CT scanners are expected to restrict the growth of the medical imaging equipment market.

CT Scanners, Nuclear Imaging Equipment Fastest Growing Product Segments

On the basis of product type, the medical imaging equipment market is categorized into computed tomography (CT) scanners, x-ray devices, magnetic resonance imaging (MRI) equipment, ultrasound systems, and nuclear imaging equipment.

Being the oldest form of imaging technique and also most popular in terms of patient comfort, x-ray devices held the largest share of the medical imaging equipment market in 2012. On the other hand, CT scanners and nuclear imaging equipment are both anticipated to record the highest CAGR of 5% from 2013 to 2019 due to increasing global prevalence of different types of cancers.

X-ray Devices Emerge as Largest Technology Segment

The medical imaging equipment market, by technology, is immensely fragmented. The x-ray devices market is segmented into computer radiography (CR), analog, and digital radiography (DR). CT scanners are broken down into high, medium, and low-slice scanners. Ultrasound systems include technologies such as Doppler, 2D imaging, 3D imaging and 4D imaging, lithotripsy, and HIFU. MRI equipment is segmented into low, medium, and high-field. Nuclear imaging equipment includes technologies such as positron emission tomography (PET) and single photon emission computed tomography (SPECT).

Technology-wise, the x-ray devices segment held the largest share of the overall medical imaging equipment market, while the segments of CT and nuclear imaging equipment are anticipated to register the highest growth rate by 2019.

North America Most Dominant Region, Asia Pacific Fastest Growing One

Geographically, the medical imaging equipment market is segmented into North America, Asia Pacific, Europe, and Rest of the World. While North America dominates the global market in terms of size, Asia Pacific is anticipated to be the fastest growing regional market for medical imaging equipment by 2019. Factors such as rising geriatric population, advancement in healthcare infrastructure, and development of medical tourism are expected to support the Asia Pacific medical imaging equipment market to register a growth rate of over 5% from 2013 to 2019.

The consolidated nature of the global medical imaging equipment market is reflected in the fact that the top three players together account for almost 50% of the overall market. Some of the prominent names in the medical imaging equipment market are GE Healthcare Ltd., Samsung Medison Co. Ltd., Carestream Health, Inc., Toshiba America Medical Systems Inc., Shimadzu Corp., Philips Healthcare, Hologic Inc., Hitachi Medical Corp., Fonar Corp., Fujifilm Holdings Corp., Genesis Medical Imaging Inc., and Siemens Healthcare.
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